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Session Overview
Location: Room LRC 019 in Library (Learning Resource Center "Stelios Ioannou" [LRC]) [Ground Floor]
Cap: 30
Date: Wednesday, 28/Aug/2024
9:30 - 11:0024 SES 04 A: Problem Posing and Solving in Mathematics Education
Location: Room LRC 019 in Library (Learning Resource Center "Stelios Ioannou" [LRC]) [Ground Floor]
Session Chair: Elif Tuğçe Karaca
Paper Session
 
24. Mathematics Education Research
Paper

A Problem-Posing Intervention to Enhance Secondary Students' Mathematical Problem-Posing Competence, Problem-Solving Competence, and Creative Thinking

Ling Zhang1,2, Andreas Stylianides2, Gabriel Stylianides3

1Southwest University, China; 2University of Cambridge, United Kingdom; 3University of Oxford, United Kingdom

Presenting Author: Stylianides, Andreas; Stylianides, Gabriel

Motivation and research question

Mathematical problem posing, the process of interpreting concrete or abstract situations and formulating them as meaningful mathematical problems (Stoyanova & Ellerton, 1996), is a form of authentic mathematical inquiry and creation recognised as important for students’ learning by educators and curriculum frameworks internationally (e.g., Chinese Ministry of Education, 2022; National Council of Teachers of Mathematics [NCTM], 2000). Further to being important in its own right, problem posing has been associated with improved competence in mathematical creative thinking, a key transferrable skill for life and work, and mathematical problem solving, which is problem posing’s twin activity central to virtually all mathematics curricula internationally (Shriki, 2013; Wang et al., 2022).

Recognising problem posing’s importance, researchers designed and implemented problem-posing interventions, albeit with mixed results. In a systematic review of 39 problem-posing intervention studies and a meta-analysis of 26 of them (Zhang et al., under review a&b), we synthesised key intervention components and measured their relative or combined effect on students’ problem-posing competence. Thus, we gained insights into what works best, for whom, and under what conditions. Yet, those promising components were not all integrated into the same intervention, nor was the impact of such an intervention explored on all of the following: problem posing, problem solving, and creative thinking.

Based on best knowledge in the literature about problem posing interventions (Zhang et al., under review a&b), we designed a new problem posing intervention aiming to enhance secondary students’ mathematical problem-posing and problem-solving competences and creative thinking, incorporating the components with the most evidence of impact in the literature. In this paper, we report findings about the effectiveness of the intervention to achieve its intended learning outcomes, by addressing the following research question:

To what extent does the developed problem-posing intervention, implemented in secondary school classrooms, enhance students’ mathematical problem-posing competence, problem-solving competence, and creative thinking?

The problem-posing intervention

We developed the problem-posing intervention using our findings from a systematic review and a meta-analysis of interventions published between 1990 and 2021 that aimed at fostering participants’ mathematical problem-posing competence (Zhang et al., under review a&b). We identified three categories of intervention components from the review (ibid): activity-based practice that engaged participants in experiencing problem posing (e.g., overview of what problem posing is–WPP, discussion of what “good” problems are–WGP), method-based assistance that helped participants pose problems (e.g., use of strategies involved in problem posing–SPP, use of problem posing examples–PPE), and environment-based support that guided interaction among participants and the teacher (e.g., interactive learning environment–ILE). The results of our meta-analysis showed that the problem-posing interventions had a significant and positive impact on participants’ mathematical problem-posing competence (g=0.72, p<.001). Particularly, the effect sizes of interventions that incorporated method-based assistance or environment-based support were on average 84% or 83% higher than those of interventions without such kinds of intervention components, respectively.

Based on these findings, our designed intervention, in the form of annotated lesson plans for delivery by the teachers, incorporated all three categories of intervention components, including the following five specific components that we found to be particularly promising: WPP, WGP, SPP, PPE, and ILE. The intervention duration was 220 minutes and is aimed for 13-to-15-year-olds who tend not to be occupied by high-stakes assessments. Also, these students tend to be at a critical juncture in their schooling when the intervention can better equip them for further mathematical studies. Finally, the intervention is not meant to be treated as extracurricular due to its intended impact on the recognised, key learning goals of mathematical problem solving and creativity.


Methodology, Methods, Research Instruments or Sources Used

Participants

We implemented the intervention in two secondary, mixed-attainment classes in China with a total of 81 students (13 to 15 years of age). Both classes were taught by the same mathematics teacher who worked closely with the first author to understand and enact the intervention, following the annotated lesson plans we had provided. Over a two-week period, the teacher implemented five structured intervention lessons, each corresponding to one of the five distinct components identified in the literature and in the following sequence: WPP, WGP, SPP, PPE, and ILE. The intervention took a total instructional time of 220 mins, as intended.


Instruments

To measure mathematical problem-posing and mathematical problem-solving, we used the QUASAR cognitive assessment instrument (QCAI) (Parke et al., 2003). This included a set of mathematical open-ended problem-solving and corresponding problem-posing tasks designed for secondary school students of similar age to assess the effectiveness of instructional programs. QCAI tasks have undergone extensive scrutiny to ensure their quality and validity. Two forms of QCAI as pre-and post-tests, including the QCAI-problem posing and QCAI-problem solving test, were sequentially implemented in two class periods of approximately 40 minutes each.

To measure mathematical creative thinking, we used the Multiple Solution Tasks (MSTs) developed by Leikin (2009). The MSTs, a well-established instrument, has been used in a range of comprehensive studies with school students. The MSTs were completed by the students within 40 minutes.

The mean difficulty levels of the pre- and post-tests were found to be comparable through the use of Rasch model analysis.


Data analysis

To address the research question, we compared students’ performance in the pre- and post-tests using quantitative methods. In more detail, these methods included observed-score equating analysis, paired-sample t-test, and Ne McNemar-tests to evaluate students’ changes in performance in terms of mathematical problem-posing, problem-solving, and creative thinking. We also collected qualitative data documenting the implementation of the intervention and the discussions between the researcher and the teacher prior and after the lessons, but reports of analyses of these data is beyond the scope of this paper.

Conclusions, Expected Outcomes or Findings

The intervention was found to have a positive impact on students’ problem-posing competence (d=0.58), problem-solving competence (d=1.61), and creative thinking (d=0.65), indicating medium to large effects. These findings are encouraging as there is a scarcity of interventions of short duration with a broad-based impact on academically important, higher-order skills, such as those targeted by our intervention, which can prepare students not only for advanced mathematical studies but also for life and work (Stylianides & Stylianides, 2013). The findings also serve as a critique of several mathematics curricula internationally, including the English, which make no reference to mathematical problem-posing. Given that problem posing’s twin activity is central to virtually all mathematics curricula internationally, including the English, our findings make a case for the merits of a concerted problem-posing-and-solving curricular coverage.

The fact that our intervention was developed based on the findings of our systematic review and meta-analysis of prior problem-posing interventions (Zhang et al., under review a&b), which allowed us to see what works best, for whom, and under what conditions, possibly explains the positive intervention outcomes. Yet, we need to be cautious about the relatively small sample (81 students, 2 classes, 1 teacher) and the possible role played by the cultural context where the intervention was implemented (the Chinese). In the next stage of our research program, we plan to conduct pre-trial development and early evaluation of our intervention in England (with minor adaptations to account for the new cultural context), working with a larger number of schools (10) and teachers (20) as part of a 1-day professional development training program. Through the preliminary evaluation of the intervention’s feasibility and efficacy with Year 10 students in England, who are of equivalent age to the Chinese student participants, we will aim to pave the ground for a future randomised control trial.

References
Chinese Ministry of Education. (2022). Mathematics Curriculum Standard of compulsory education. Beijing, China: People’s Education Press.  

Leikin, R. (2009). Exploring mathematical creativity using multiple solution tasks. In R. Leikin, A. Berman, & B. Koichu (Eds.), Creativity in mathematics and the education of gifted students (pp. 129-145). Sense Publisher.  

National Council of Teachers of Mathematics (NCTM). (2000) Principles and standards for school mathematics. Reston, VA: Author.

Parke, C. S., Lane, S., Silver, E. A., & Magone, M. E. (2003). Using assessment to improve middle-grades mathematics teaching & learning: suggested activities using QUASAR tasks, scoring criteria, and students’ work. Reston, VA: NCTM.

Shriki, A. (2013). A model for assessing the development of students’ creativity in the context of problem posing. Creative Education, 4(7), 430.

Stoyanova, E., & Ellerton, N. F. (1996). A framework for research into students’ problem posing in school mathematics. In P. Clarkson (Ed.), Technology in Mathematics Education (pp. 518-525). Melbourne: Mathematics Education Research Group of Australasia.

Stylianides, A. J., & Stylianides, G. J. (2013). Seeking research-grounded solutions to problems of practice: Classroom-based interventions in mathematics education. ZDM – The International Journal on Mathematics Education, 45(3), 333-341.  

Wang, M., Walkinton, C., & Rouse, A. (2022). A meta-analysis on the effects of problem-posing in mathematics education on performance and dispositions. Investigations in Mathematics Learning, 14(4), 265–287.

Zhang, L., Stylianides, G. J., & Stylianides, A. J. (under review a). Enhancing mathematical problem posing competence: A meta-analysis of intervention studies. International Journal of STEM Education.

Zhang, L., & Stylianides, A. J., & Stylianides, G. J. (under review b). Approaches to supporting and measuring mathematical problem posing: A systematic review of interventions in mathematics education. International Journal of Science and Mathematics Education.


24. Mathematics Education Research
Paper

Exploring the Dynamics of Problem Posing and Solving Skills of Pre-Service Primary School Teachers

Elif Tuğçe Karaca1, Vuslat Şeker2

1KIRIKKALE UNIVERSITY, Turkiye; 2HU University of Applied Sciences Utrecht, Netherlands

Presenting Author: Karaca, Elif Tuğçe

The pedagogical landscape of elementary mathematics education is significantly influenced by the type and quality of problems presented in the classroom. Traditional methodologies, which often emphasize rote learning and procedural mastery, fall short of fostering critical thinking and inquiry, essential components for cultivating mathematical proficiency (Henningsen & Stein, 1997). Recognizing this, the literature advocates a paradigm shift toward integrating problem solving and reasoning as fundamental aspects of mathematics education, thereby enriching students' learning experiences and enhancing their conceptual understanding (e.g., Miranda & Mamede, 2022; National Council of Teachers of Mathematics (NCTM), 2000; Van de Walle et al., 2010).

Problem solving, as described by the NCTM (2000), should not be an isolated segment of the curriculum but an integral part of mathematics learning, integrated into the core of education. NCTM (2000) further notes that problem solving highlights mathematical engagement. In addition, the cognitive and metacognitive dimensions of problem solving underscore the importance of engaging with problems in ways that go beyond mere computation. Jonassen (2000) articulates that the significance of a problem derives from its potential to contribute to “societal, cultural, or intellectual” domains, which requires a solver's engagement in mental representation and manipulation of the problem space (p. 65). This perspective is complemented by Lester and Kehle's definition, which emphasizes problem solving as an active engagement process “using prior knowledge and experience” (cf. Santos-Trigo, 2007, p. 525).

Problem-posing, similar to problem-solving, is an integral part of this pedagogical development. It is recognized as a sophisticated mathematical activity that promotes creativity, flexibility, and deeper understanding (Silver, 1994). It is defined as the ability to formulate, reformulate, and explore problems based on existing mathematical situations or concepts. It could be described as “one of the highest forms of mathematical knowing and a sure path to gain status in the world of mathematics” (Crespo, 2015, p. 494). NCTM (2000) also points out that students need “to create engaging problems by drawing inspiration from various scenarios encompassing mathematical and non-mathematical contexts” (p. 258). In light of these considerations, this study explores the interplay between problem solving and problem posing in the context of mathematics education for preservice elementary teachers. Specifically, it seeks to examine the nature and quality of problems posed by preservice teachers, the challenges they face in the problem-posing process, and how their problem-solving skills influence their ability to generate meaningful mathematical problems. Through a comprehensive analysis of pre-service teachers' engagement with problem solving and problem posing, this research aims to contribute to how to support the pre-service teachers' skills and the interplay between them to create better learning environments for their students by improving their teaching strategies.


Methodology, Methods, Research Instruments or Sources Used

This research will employ a qualitative research design, focusing on understanding and interpreting the nature of pre-service primary school teachers' problem-posing abilities and exploring the challenges they face during the process. The study will also investigate the relationship between prospective teachers' problem-solving and problem-posing abilities in specific mathematics content areas, aiming to examine the nature and quality of problems they pose, the difficulties encountered in problem-posing, and how their problem-solving skills influence their problem-posing capabilities.Qualitative data will be gathered from a convenience sample of 28 primary school pre-service teachers enrolled in a mathematics teaching course during the Spring 2024 semester. This course, a required part of the undergraduate primary school teacher education program at a public university in Turkey, includes weekly three-hour lectures over twelve weeks, focusing on problem-solving processes and integrated problem-posing activities within topics such as early algebra, numbers, and operations. Each weekly session will feature problem-solving and problem-posing tasks based on relevant literature. Data collection will use a two-part instrument: the first part will be a paper-pencil test for each week's content, starting with a problem-solving task followed by a problem-posing task. Students will solve the given problem, then create and solve their own posed problems, identifying any issues in their problem formulation. The second part will involve in-depth think-aloud protocols with a subset of participants to understand their cognitive processes during problem-solving and posing, including their strategies and awareness of problem-posing challenges.
Data from the paper-pencil tests and think-aloud protocols will be analyzed qualitatively. The paper-pencil tasks will undergo content analysis using thematic coding procedures based on established frameworks (e.g., Problem-Solving Task Rubric and Problem Posing Task Rubric by Rosli et al., 2015). The think-aloud protocols will be transcribed and analyzed to gain insights into participants’ thought processes during problem-posing and solving, and a comparative analysis will be conducted to explore the nature of their problem-solving and posing abilities and their effectiveness in formulating and solving problems.


Conclusions, Expected Outcomes or Findings
Building on the exploratory studies by Grundmeier (2015), Hospesova & Ticha (2015), and insights from Rosli et al. (2015), this research aims to deepen our understanding of the problem-solving and posing skills of pre-service primary school teachers. Grundmeier (2015) observed that practice enhances problem-posing efficiency and creativity among prospective elementary and middle school teachers. Hospesova and Ticha (2015) identified significant knowledge gaps and challenges in problem-posing, despite teachers acknowledging its importance in mathematics education. Complementing these findings, Rosli et al. (2015) revealed middle school preservice teachers’ proficiency in solving more straightforward arithmetic tasks. However, they had difficulties in abstract generalization and algebraic interpretation. Notably, these teachers could formulate fundamental yet meaningful problems. The results suggested the integral role of problem-solving in facilitating effective problem-posing.
Aligned with these studies, the current research is expected to uncover similar findings within pre-service primary school teachers' problem-solving and posing competencies. This research will explore the nature and quality of problems posed, the challenges encountered in the problem-posing process, and the interrelation between problem-solving prowess and problem-posing skills. Employing comprehensive data collection and analysis methods inspired by Rosli et al. (2015) and others, this research aims to offer new insights and validate existing findings.

References
Crespo, S. (2015). A collection of problem-posing experiences for prospective mathematics teachers that make a difference. In Ed.Mix & Battista (Eds.), Mathematical problem posing: From research to effective practice (493-511).USA: Springer.
Grundmeier, T. A. (2015). Developing the problem-posing abilities of prospective elementary and middle school teachers. In Ed.Mix & Battista (Eds.), Mathematical problem posing: From research to effective practice (411-431).USA: Springer.
Henningsen, M., & Stein, M. K. (1997). Mathematical tasks and student cognition: Classroom-based factors that support and inhibit high-level mathematical thinking and reasoning. Journal for Research in Mathematics Education, 28(5), 524-549.
Hošpesová, A., & Tichá, M. (2015). Problem posing in primary school teacher training. In Ed.Mix & Battista (Eds.), Mathematical problem posing: From research to effective practice,(433-447).USA: Springer.
Jonassen, D. H. (2000). Toward a design theory of problem solving. Educational Technology Research and Development, 48(4), 63–85. http://doi.org/10.1007/BF02300500
Miranda, P., & Mamede, E. (2022). Appealing to creativity through solving and posing problems in mathematics class. Acta Scientiae. Revista de Ensino de Ciências e Matemática, 24(4), 109-146.
National Council of Teachers of Mathematics (NCTM). (2000) Principles and standards for school mathematics. Author.
Rosli, R. Capraro, M. M., Goldsby, D., Gonzalez, E. G., Onwuegbuzie, A. J., & Capraro, R. B. (2015).Middle-grade preservice teachers’ mathematical problem solving and problem posing. In Ed.Mix & Battista (Eds.), Mathematical problem posing: From research to effective practice,(333-354).USA: Springer.
Santos-Trigo, M. (2007). Mathematical problem solving: An evolving research and practice domain. ZDM - International Journal on Mathematics Education, 39(5-6), 523–536. http://doi.org/10.1007/s11858-007-0057-9
Silver, E. A. (1994). On the teaching and learning of mathematical problem posing. Journal for Research in Mathematics Education, 25(1), 25-43.
Van De Walle, J. A., Karp, K. S. & Bay-Williams, J. M. (2010).  Elementary and middle school mathematics: Teaching developmentally (7th ed).  Allyn and Bacon/Pearson Education.
 
13:45 - 15:1524 SES 06 B: Innovative Approaches in Mathematics Education
Location: Room LRC 019 in Library (Learning Resource Center "Stelios Ioannou" [LRC]) [Ground Floor]
Session Chair: Aibhin Bray
Paper Session
 
24. Mathematics Education Research
Paper

Improving the Process of Preparing 10th Grade Students for External Summative Assessment in Mathematics by Implementing Problem-based Learning Technologies.

Zhadyra Nurym, Gulzada Rakhimova, Aliya Sissaliyeva, Ingkar Sabyrova

NIS, Kazakhstan

Presenting Author: Nurym, Zhadyra; Rakhimova, Gulzada

Introduction:

In contemporary education, considerable emphasis is placed on the implementation of pedagogical techniques that promote effective teaching through active engagement of students with educational content. Among these approaches, problem-based learning (PBL) stands out as a method that fosters the development of creative thinking, autonomy, and problem-solving abilities among students, while also facilitating the application of acquired knowledge in practical contexts. This study aims to investigate the influence of employing problem-based learning methods in preparing 10th grade students for an external summative assessment in the domain of mathematics.

Theoretical Basis of the Study

Summative assessment serves as a means of evaluating the educational accomplishments of students upon completion of specific sections or cross-cutting topics within the curriculum. It also encompasses the assessment conducted over a designated educational period, such as a quarter, as well as external assessments. These assessments entail the allocation of points and grades, while providing valuable insights on student progress to teachers, parents, and students themselves.

External summative assessments are carried out upon the culmination of particular levels of education, encompassing primary, basic, and secondary education. The benchmarks utilized in these exams adhere to international standards, such as the Cambridge Primary (grade 5), IGCSE (grade 10), AS-level, and A-level (grades 11-12). External summative assessment exams feature multiple components, including closed and open-ended questions that require both concise and detailed responses.

Upon the completion of external summative assessments, students in 12th grade receive an NIS Grade 12 Certificate. This certificate holds recognition by esteemed universities in Kazakhstan, as well as by leading international organizations. [1]

The issue we encountered revolved around our school's performance in mathematics during external summative assessments, as we ranked last within the Nazarbayev Intellectual School network. Notably, there existed a disparity between internal assessments and external assessments. The aim of this action research was to enhance the quality of mathematics outcome measures among 10th grade students. The study pursued the following research question: How does the integration of problem-based learning impact students' effective preparation for external summative assessments in mathematics?

Problem-Based Learning (PBL) technology has been utilized in higher education since the mid-20th century, serving as an interactive learning method. Initially employed by universities in the United States and Canada during the 1950s, PBL later proliferated across European universities during the 1960s. The introduction of this technique initially occurred in the Faculty of Medicine at Case Western Reserve University. Recognizing the contemporary context characterized by an information and technological "explosion," which entails rapidly evolving requirements for future professionals, PBL emerged as the training model best aligned with this situation. [2]

The traditional approach to higher education emphasizes the passive transfer and rote memorization of existing knowledge. Students grapple with the monotonous task of memorizing vast amounts of information that, in their estimation, may not always directly pertain to their forthcoming professional endeavors. Consequently, apathy, detachment, and occasionally disillusionment arise. Frequently, students tend to forget a substantial portion of the material they have learned once an assessment has been completed. Moreover, the retained information often proves challenging to apply when attempting to solve problems across related subject areas, especially within the realm of real-world professional application. [3]

The foundation of PBL rests upon a constructivist approach, which has garnered opposition from critics of this teaching method. In line with the constructivist trend, which emphasizes student participation in the construction of new knowledge through the reevaluation of experiences, PBL brings about significant changes in the learning process itself. It assumes an active and socially-oriented character, thereby embracing a more interactive format.[4]


Methodology, Methods, Research Instruments or Sources Used
The study involved the participation of all 10th grade students at NIS in Aktau during the academic year 2022-2023. A purposive sampling technique was used to recruit 129 participants for the research sample.

To establish a control group, 88 participants were selected from the 10th grade students at NIS Aktau during the academic year 2021-2022.

The experimental class consisted of 10th grade students at NIS Aktau in 2022-2023, while the control class consisted of 10th grade students at NIS Aktau in 2021-2022. The experimental class received training using drill methods with PBL, whereas the control class received training using drill methods without PBL.

Data collection methods included tests to measure problem-solving skills and questionnaires to gather student responses during PBL training.

Within the framework of problem-based learning (PBL), practice-oriented case assignments served as the primary teaching tool, which students studied in practical classes.

The Vocational Education and Training (VET) was implemented through the following main stages:

1. Teachers provided students with descriptions of exam problems that required solving and evaluating their work against a mark scheme.

2. Students familiarized themselves with the case, analyzed it, and identified key problems requiring solutions.

3. Students worked independently or in groups to solve the problems. They conducted research, gathered information, performed analyses, and developed solutions [5].

4. In subsequent practical classes, students presented their work results, engaged in discussions, and collectively arrived at the most optimal solution.

5. Additional mathematics lessons were organized outside of regular school hours.

The questionnaire comprised 6 questions aimed at identifying factors including:

- Motivation to learn
- Perception of teaching methods
- Level of satisfaction with training

The data collection methods also included midterm mock exams to measure problem-solving skills.
A quantitative approach was employed to compare students' final scores and identify patterns and regularities.
1. Systematization and analysis of the obtained data:
• The collected data on students' regular exam preparation activities were processed and analyzed, taking into account their academic performance.
• Data on the use of various pedagogical methods and technologies were summarized and analyzed to identify their impact on students' success.
2. Cross-analysis of the data:
• Furthermore, the obtained results of data analysis for each factor (regular activities, method and technology usage, individualized approach, parental involvement) were cross-compared and analyzed together to identify common patterns and interrelationships between these factors.

Conclusions, Expected Outcomes or Findings
Research findings
The examination of the questionnaires revealed that students in the experimental group exhibited a higher level of motivation towards their learning compared to students in the control group. Additionally, they demonstrated a greater acceptance of Problem-Based Learning (PBL) teaching methods and expressed higher satisfaction with their training.
In relation to the study on the preparation for external summative assessment, several factors influencing student achievement were identified:

1. Regular exam preparation sessions were found to positively impact student performance.
2. The utilization of diverse pedagogical methods and technologies proved to be effective in preparing students for exams.
3. Adopting an individualized approach that considers students' unique characteristics and needs also contributed to successful outcomes in external assessments.
4. Involving parents in the exam preparation process also yielded positive outcomes in terms of academic performance.
Based on the collected data, it can be concluded that the effective organization of student preparation for external summative assessment is a crucial component of academic success. It is recommended to further investigate and implement contemporary methods and technologies to enhance student performance in future endeavors.
The research results demonstrated that the experimental group, which received training using PBL methods, achieved higher outcomes compared to the control group that underwent drill-based instruction without the integration of PBL.
The average score for the experimental group was 52.2%, while the control group achieved an average of 41.97%. This difference was found to be statistically significant. Consequently, our school's ranking within the NIS network improved from 15th place to 10th place.
Furthermore, the results of the experimental group surpassed those of previous years. For instance, in 2019, the average was 49%, in 2021 it was 39.65%, and in 2022 it was 41.97%. These findings indicate that the implementation of PBL can enhance students' problem-solving skills.

References
References
1.Educational program AEO “Nazarbayev Intellectual Schools” – NIS-Programme URL:
https://www.nis.edu.kz/storage/app/media/NIS-Programme/NIS-Programme_RU.pdf
2. The Aalborg PBL-model – Progress, Diversity and Challenges. Aalborg : Aalborg Univer- sity Press, 2006. 13 p.

3. Newman M.J. Problem Based Learning: an Introduction and Overview of the Key Features of the Approach // Journal of Veterinary Medical Education. 2005. No 32 (1). Р. 12–20.

4. Dolmans D., Schmidt H. What directs self-directed learning in a problem based curriculum// Problem Based Learning: a Research Perspective on Learning Interactions.Mahwah, NJ : Lawrence Erlbaum, 2000. Р. 251–262.

5. Barrows H. Generic Problem-Based Learning Essentials. 2004. URL: http://www.pbli.org/pbl/generic_pbl.htm.

6. Savin-Baden M. Facilitating Problem Based Learning: Illuminating Perspectives.Buckingham : Society for Research in Higher Education / Open University Press, 2003.


24. Mathematics Education Research
Paper

Levelling up Problem-solving Skills through Strategy Video Gaming and Reflection: An Intervention Study with Malaysian Form 4 Secondary School Students.

Siti Nadiah Binti Mohammad Johari

University of Cambridge, United Kingdom

Presenting Author: Binti Mohammad Johari, Siti Nadiah

In its recent Education Blueprint, the Malaysian Ministry of Education has emphasised the imperative to enhance national critical thinking skills. This call-to-action stems from the alarming low rankings in the PISA Problem-Solving Test, and mathematics test and reports from employers highlighting pervasive skill gaps. This research aims to explore a potential tool for developing problem-solving skills: Strategy Video Games (SVGs).
The integration of play in education systems is a growing trend in various nations, including China, the USA, and Denmark, recognising its significance in pedagogy (Mardell, Solis & Bray, 2019). Play, as highlighted by Prince (2017), is instrumental in children's learning and the development of problem-solving skills and fluid reasoning. Given the acknowledged benefits of play and the recognition of video games as a manifestation of play, thus, proposing the use of SVGs is not an outrageous idea to improve cognition. Digital games, specifically SVGs, not only enrich the learning experience but also foster skill development, enhance memorisation, and deepen understanding in STEM fields (Ishak, Din & Hasran, 2021). This approach aligns with the current digital landscape where today's youth spend significant time in the digital world, and SVG skills inherently mirror those demanded by the problem-solving process. However, despite this potential, there is limited empirical evidence linking SVGs to problem-solving skill improvement.
Most research to date on gaming and PS focuses exclusively on self-reported measures. For example, Adachi and Willoughby's (2013) previous study sought to investigate the correlation between strategy video gameplay frequency and adolescents' self-reported problem-solving skills. Their findings suggested a positive relationship: a higher video gameplay frequency was associated with higher self-reported problem-solving skills. The only study that has searched for such links using non-self-reports struggled to find an effect. In this project, Emihovich (2017) explored the impact of two distinct types of video gameplay, namely strategy role-playing video games (World of WarCraft) and brain-training video games (CogniFit), on undergraduates' problem-solving skills. However, the study found no significant effects on problem-solving. Nonetheless, Emihovic, Rogue and Mason (2020) noted that results could be different by prompting participants to actively recognise the strategies during gaming sessions. Therefore, by adding reflection sessions as a medium to transfer learnt problem-solving skills from SVGs to real-life situations could yield different outcomes. Research on metacognition and mindset suggests that combining SVGs with student reflection could further enhance skill development.
The utilisation of reflection sessions in problem-solving proves to be a valuable tool in education. Reflection, as defined by Bjuland (2004), involves the conscious consideration of personal experiences, aligning with Dewey (1933), Inhelder and Piaget (1958), Hiebert (1992), and Wistedt (1994) in the context of forming interactions between ideas and action. In education, reflection is the process of thoughtful examination and evaluation of one's experiences, thoughts, and actions to gain insight and make informed decisions for future practice (Chang, 2019). It plays a pivotal role in transforming experiences into the development of new skills, attitudes, knowledge, and capabilities (Gribbin, Aftab, Young, & Park, 2016).
Thus, this study hypothesises that strategy video gaming may affect both (1) externally assessed and (2) self-reported problem-solving skills when reflection sessions are employed. In response, this study investigated the relationship between SVG and two dependent variables: (1) externally assessed problem-solving skills (2) self-reported problem-solving skills. To test the power of student reflection on problem-solving development, it further assessed whether changes in these variables differed with or without engagement in reflection sessions.
RQ 1: Does playing SVGs affect (1) externally-assessed problem-solving skill assessment scores?
RQ1a: Do these effects change with the inclusion of reflection sessions?
RQ 2: Does playing SVGs affect the (2) self-reported problem-solving skill assessment scores?
RQ2a: Do these effects change with the inclusion of reflection sessions?


Methodology, Methods, Research Instruments or Sources Used
Participants of the study were about 404 Form 4 pupils (15- to 16-year-olds) from nine (9) participating Malaysian National secondary schools. Participants were split equally across one control and two treatment groups. Using a randomised controlled trial (RCT) approach, participants were stratified into two groups based on gender (male and female) before they were randomised equally into the 3 groups (in control or intervention conditions).
To test the power of reflection, this research compared pre- and post-test scores of 3 groups: a control group ("A") that received no treatment; a group ("B") that played SVGs; and a group ("C") that played SVGs and engaged in supplemental of reflection sessions. Through this experimental design, we were able to monitor the possible effect (if any) of both playing SVGs and reflection on the development of self-perception of problem-solving skills and examined actual problem-solving skills.
Two instruments were used to measure the 2 variables of interest during pre-intervention and post-intervention. The external assessment measure employed in this study is the publicly accessible isomorphic test designed by the OECD for the 2003 iteration of the PISA Problem-Solving Test. To adapt it for this research, the test was divided into two sets, resulting in two distinct PISA Problem-Solving Tests. To assess students' self-reported problem-solving skills, the study employed the Problem-Solving Inventory (PSI) created by Heppner and Petersen (2011). This inventory comprises 32 items and utilises a 6-point Likert scale to gauge an individual's self-evaluation of their problem-solving competence, focusing on their perceived competency rather than their demonstrated abilities.
The intervention protocol involved gaming phases and reflection sessions. A gaming phase includes three (3) weeks of gaming session aimed at yielding about 5 hours of gaming duration. Within the 3 weeks, there were three reflection sessions (before, during and after reflection sessions) conducted. Before-reflection sessions was done before gaming sessions starts (in the first week), and in the second week, during-reflection session was done as a group discussion. After-reflection sessions was done at the end of each gaming phases. Before- and after-reflection sessions were done online individually. There were 4 intervention phases all together, each using four different strategy video games.
The analysis of the data used a quantitative technique, multiple regression, to assess the relationships between SVGs, reflection sessions, and outcome variables of interest. Ultimately, it attempts to cover gaps from previous studies and provide a guide to utilise SVGs in a school context.

Conclusions, Expected Outcomes or Findings
Due to COVID restriction policies, dosage, adherence, and participants' responsiveness, the quality of intervention delivery varied significantly. Nonetheless, the findings yielded interesting insight into the hypotheses.
There is some evidence that SVGs together with reflection sessions have the potential ability to affect actual Problem-solving skills.
RQ 1: Based on the statistical analysis, we can reject the null hypothesis and accept there is a significant difference in PISA Pre-post-test score difference means among the 3 groups, with a consideration that it is a positively weak model (R-squared =0.0248). Group C difference is significant at p=0.025. The post-hoc Tukey test revealed significant differences between Group C and Group B (p = 0.041), and near significant between Group C and Group A (p = 0.064).
All groups' mean score showed decline in PISA Problem-Solving score performance, but Group C performed slightly better by having the least amount of decline. Group B did not perform any differently than Group A .
RQ 2: Similarly, regression analysis showed that Group C is significantly different than the other groups, with a p value of = 0.018 with a weak model (R-squared =0.0271). Tukey's post hoc test revealed that Group C is significantly different than Group A (p = 0.054). However, Group B is not statistically significantly different from Group A and C.
Both findings in RQ 1 and 2 above may indicate that SVGs without the supplement of reflection session do not help in improving or developing Problem-Solving skills, as seen in PISA problem-solving scores.
In conclusion, these findings suggest that there is potential to utilise SVGs in developing competent problem-solvers, provided that SVGs are paired with reflection sessions to aid in transferring learnt problem-solving skills into real-life situations. However, there is a need to further delve into the findings, especially exploring the measurement of fidelity to ensure these results are not a result of positive placebo effect.

References
Adachi, P. J. C., & Willoughby, T. (2013). More Than Just Fun and Games: The Longitudinal Relationships Between Strategic Video Games, Self-Reported Problem-Solving Skills, and Academic Grades. Journal of Youth and Adolescence, 42(7), 1041–1052. https://doi.org/10.1007/s10964-013-9913-9
Bjuland, R. (2004). Student teachers' reflections on their learning process through collaborative Problem-Solving in geometry. Educational Studies in Mathematics, 55 (1–3), 199–225. https://doi.org/10.1023/B:EDUC.0000017690.90763.c1
Chang, B. (2019). Reflection in Learning. Online Learning, 23(1). https://doi.org/10.24059/olj.v23i1.1447
Dewey, J. (1933). Why have progressive schools? Current History (1916-1940), 38(4), 441–448.
Emihovich, B. (2017). IMPROVING UNDERGRADUATES' PROBLEM-SOLVING SKILLS THROUGH VIDEO GAMEPLAY.
Emihovich, B., Roque, N., & Mason, J. (2020). Can Video Gameplay Improve Undergraduates' Problem-Solving Skills?. International Journal of Game-Based Learning (IJGBL), 10(2), 1-18.
Gribbin, J., Aftab, M., Young, R., & Park, S. (2016). Double-loop reflective Practise as an approach to understanding knowledge and experience. DRS 2016 International Conference: Future-Focused Thinking. 8, pp. 3181-3198. Design Research Society.
Heppner, P. P., & Petersen, C. H. (2011). Problem-Solving Inventory [Data set]. American Psychological Association. https://doi.org/10.1037/t04336-000
Hiebert, J. (1992). Reflection and communication: Cognitive considerations in school mathematics reform. International Journal of Educational Research, 17(5), 439–456.
Inhelder, B., & Piaget, J. (1958). The growth of logical thinking from childhood to adolescence: An essay on the construction of formal operational structures (Vol. 22). Psychology Press.
Ishak, S. A., Din, R., & Hasran, U. A. (2021). Defining digital game-based learning for science, technology, engineering, and mathematics: a new perspective on design and developmental research. Journal of medical Internet research, 23(2), e20537.
Mardell, B., Lynneth Solis, S., & Bray, O. (2019). The state of play in school: Defining and promoting playful learning in formal education settings. International Journal of Play, 8(3), 232-236.
Prince, P. (2017). From play to Problem-Solving to Common Core: The development of fluid reasoning. Applied Neuropsychology: Child, 6(3), 224-227.
Programme for International Student Assessment. (2004). PISA Problem Solving for Tomorrow's World: First Measures of Cross-Curricular Competencies from PISA 2003. OECD.
Wistedt, I. (1994). Reflection, communication, and learning mathematics: A case study. Learning and Instruction, 4(2), 123–138.


24. Mathematics Education Research
Paper

Effect of Flipped Classroom Learning Approach on Mathematics Achievement and Interest Among Secondary School Students

Bakyt Alzhanova

NIS, Kazakhstan

Presenting Author: Alzhanova, Bakyt

The flipped classroom is a teaching technique that has gained worldwide currency during recent years. In a flipped approach, the information-transmission element of students’ learning is moved out of the classroom; instead, students view recorded lectures in their own study time ahead of the live session. This frees the class time for activities (such as discussion and problem-solving) in which students can apply their knowledge and potentially gives the teacher a better opportunity to detect their misconceptions.

According to the State Education Policy (Republic of Kazakhstan), mathematics is one of the fundamental subjects that all students must study up to higher education. Mathematics receives a lot of attention in the school curriculum from primary to secondary school, reflecting the importance of the subject in modern society. It is particularly disappointing that students consistently perform poorly in mathematics in internal and external examinations, despite the relative importance of the subject.

The purpose of this study, which was conducted at the Nazarbayev Intellectual School of Physics and Mathematics in the city of Aktobe, was to determine the effect of the “flipped classroom” approach on mathematics achievement and interest of students. Given this, a quasi-experimental design was used, specifically non-equivalent pretest-posttest control group design. The study’s participants were a sample of 56 learners selected from two classes purposively. Each two SS 1 classes, divided into experimental and control groups via balloting.

The following research questions guided the study.

1. What are the mean achievement scores of students who received mathematics instruction using flipped classroom approach and their peers in the control group?

2. What are the mean achievement scores of male and female students who received flipped classroom approaches?

3. What are the mean interest scores of students who received mathematics instruction using flipped classroom approach and their peers in the control group?

4. What are the mean interest scores of male and female students who received flipped classroom approach?

The following hypotheses guided the study.

1. Difference exists between the mean achievement scores of students who received mathematics instruction using flipped classroom approach and their peers in the control group.

2. Difference exists between the mean achievement scores of male and female stu­dents who received mathematics instruction using flipped classroom approach.

3. Difference exists between the mean interest scores of students who received mathematics instruction using flipped classroom approach and their peers in the control group.

4. Difference exists between the mean interest scores of male and female students who received mathematics instruction using flipped classroom approach.

Data were gathered through the instrumentality of the Mathematics Achievement Test (MAT) and Mathematics Interest Inventory (MII), which have reliability scores of 0.88 and 0.79, respectively. Prior to and following a six-week course of treatment, each group completed a pretest and posttest. SPSS, a statistical tool for social sciences, was applied to analyse the acquired data. The mean and standard deviation were utilised to report the study’s questions, and analysis of covariance (ANCOVA) was utilised to evaluate the hypotheses at a 0.05 significance level. Results established that learners taught mathematics utilising flipped classroom approach had higher mathematics achievement and interest scores than their peers taught using the conventional approach. Results also revealed that the achievement and interest scores of male and female learners who received mathematics instruction using flipped classroom approach were the same. Considering the findings, recommendations were given, among others, that mathematics teachers should use the flipped classroom approach to assist learners in boosting their achievement and interest in mathematics, especially in geometry.


Methodology, Methods, Research Instruments or Sources Used
This quasi-experimental research study design used a non-equivalent control group for the pretest and posttests. The design was employed rather than randomly allo¬cating students to groups because it is impractical to do so in quasi-experimental research. A sample of 56 pupils (27 males and 29 females) was selected from two classes purposively.
The research instruments were Mathematics Achievement results.  Test (MAT) and Mathematics Interest Inventory (MII). The researchers created 20 multiple-choice questions on the MAT, which served as the study's primary instrument. The MAT items were created using a test design to ensure adequate coverage of the subject matter of interest and to maintain consistent distribution across different levels of the cognitive domain. However, the MII was adapted from the mathematical calculations of Snow (2011). interest reserve. The MII consists of 20 items and uses a 4-point Likert scale with the following response options: strongly agree (4), agree (3), disagree (2), and strongly disagree (1). I developed two lesson plans/notes for the experimental and control groups. Also checked MAT, MII and lesson plans/notes. Both MAT and MII have been pilot tested. The reliability coefficient for the MAT was determined to be 0.88 using the Kuder-Richardson formula 20. However, the internal consistency of the MII was calculated using Cronbach's alpha and the reliability coefficient was found to be 0.79.
The treatment ran for four weeks. The fifth week saw the administration of the posttest. The posttest items are the same as the pretest items; however, they were rearranged to give them a new look and avoid memory effects. The posttest results were noted and utilised to present information on learners’ mathematics achievement and interest by gender and treatment group. The SPSS software version 28 was used to analyse the collected data. The mean (−X) and standard deviation (SD) were used to answer the study’s research questions, and analysis of covariance (ANCOVA) was utilised to test the hypotheses at a significance level of 0.05. The reason for the choice of ANCOVA was to establish equality of baseline pre-test data before the commencement of the treatment. ANCOVA helped to establish the covariates between the pre-test and post-test.

Conclusions, Expected Outcomes or Findings
The findings revealed that students who received mathematics instruction using flipped classroom approach had their interest increased in the mathematics concept compared to their counterparts who received the same concept using the conventional method. Accordingly, a further test of hypothesis three established that learners in the experimental group held increased interest levels in the  mathematics concept than their peers in the control group. Thus, it concluded that the flipped classroom approach successfully enhanced learners’ interest in the mathematics concept taught. The increased interest could have been caused by the students’ interpersonal interaction with video resources and materials in the flipped classroom environment.
Moreover, the study’s findings indicated that male learners exhibited more interest in mathematics than females when the flipped classroom approach was utilised. Consequently, further analysis by testing hypothesis four divulged no significant difference between the interest scores of male and female learners who received mathematics instruction utilising the flipped classroom strategy. The outcome of the no significant difference could be that both male and female learners showed the same degrees of interest and engagement in learning the mathematics concept.
The flipped classroom approach significantly enhanced learners’ achievement and interest in the mathematics concept taught. This was seen in the mean achievement and interest scores of students in the experimental group, which were higher than their counterparts in the control group. Again, the achievement and interest scores of male and female learners who received mathematics instruction using flipped classroom approach were the same. This means that learners of both sexes that utilised the flipped classroom approach benefited equally from the treatment. The study also explains to mathematics education specialists how the flipped classroom approach can help learners enhance their achievement and interest levels in mathematics, particularly geometry.

References
Asiksoy, G., & Ozdamli, F. (2016). Flipped classroom adapted to the ARCS model of motivation and Applied to a physics course. Eurasia Journal of Mathematics Science & Technology Education, 12(6), 1589–1603.
Bergmann, J., & Sams, A. (2012). Flip your classroom: Reach every student in every class every day. International Society for Technology in Education.
Bergmann, J., & Sams, A. (2015). Flipped learning for math instruction. International Society for Technol¬ogy in Education. VA.
Bishop, J., & Verleger, M. (2013). The flipped classroom: A survey of the research. In ASEE National Conference Proceedings.
Chandra, V., & Fisher, D. L. (2009). Students’ perceptions of a blended web-based learning environment. Learning Environments Research, 12(1), 31–44. https://doi.org/10.1007/s10984-008-9051-6.
Chebotib, N., Too, J., & Ongeti, K. (2022). Effects of the flipped learning approach on students’ academic achievement in secondary schools in Kenya. Journal of Research & Method in Education, 12(6), 1–10. https://doi.org/10.9790/7388-1206030110.
Chen, L. L. (2016). Impacts of flipped classroom in high school health education. Journal of Educational Technology Systems, 44(4), https://doi.org/10.1177/0047239515626371. 411 – 420.
Clark, K. (2015). The Effects of the flipped model of instruction on Student Engagement and Performance in the secondary Mathematics Classroom. The Journal of Educators Online, 12(1), 91–115. https:// doi.org/10.9743/jeo.2015.1.5.
Didem, A. S., & Özdemir, S. (2018). The Effect of a flipped Classroom Model on Academic Achievement, Self-Directed Learning Readiness, Motivation and Retention *. Malaysian Online Journal of Educa¬tional Technology, 6(1), 76–91. www.mojet.net.
Efiuvwere, R. A., & Fomsi, E. F. (2019). Flipping the mathematics classroom to enhance senior second¬ary students’ interest. International Journal of Mathematics Trends and Technology, 65(2), 95–101. https://doi.org/10.14445/22315373/ijmtt-v65i2p516.
Egara, F. O., Eseadi, C., & Nzeadibe, A. C. (2021). Effect of computer simulation on secondary school students’ interest in algebra. Education and Information Technologies, 27, 5457–5469.
Harmini, T., Sudibyo, N. A., & Suprihatiningsih, S. (2022). The Effect of the flipped Classroom Learning Model on Students’ Learning Outcome in Multivariable Calculus Course. AlphaMath: Journal of Mathematics Education, 8(1), 72. https://doi.org/10.30595/alphamath.v8i1.10854.
He, W., Holton, A., Farkas, G., & Warschauer, M. (2016). The effects of flipped instruction on out-of-class study time, exam performance, and student perceptions. Learning and Instruction, 45, 61–71. https:// doi.org/10.1016/j.learninstruc.2016.07.001.
Ikwuka, O. I., & Okoye, C. C. (2022). Differential effects of flipped classroom and gender on nigerian federal universities CEP students’ academic achievement in basic methodology. African Journal of Educational Management Teaching and Entrepreneurship Studies, 2, 106–118.
 
Date: Thursday, 29/Aug/2024
9:30 - 11:0024 SES 09 A: Integrating AI and Technology in Mathematics Education
Location: Room LRC 019 in Library (Learning Resource Center "Stelios Ioannou" [LRC]) [Ground Floor]
Session Chair: Katarina Mićić
Paper Session
 
24. Mathematics Education Research
Paper

Killing Two Birds with the One GenAI Stone: Using GenAI in PD for Maths Teachers

Eleanor Byrne, Aibhin Bray, Brendan Tangney, Emma Berry

Trinity College Dublin, Ireland

Presenting Author: Byrne, Eleanor

Issues in mathematics education are wide-ranging, with the subject often perceived as hard, formulaic, and consisting of a series of unrelated abstract concepts, with a strong focus on assessment (Bray & Tangney, 2017). Historically an over-reliance on skills and procedures has led to a lack of mathematical fluency and conceptual understanding, with problem solving viewed as little more than worded calculations (Schoenfeld, 2016). The main drivers of reforms in mathematics curriculum internationally focus on efforts to address these issues by, at least in part, giving greater considerations to the student at the centre of the learning. Maths students should be supported to develop a positive disposition towards the subject, by highlighting connections between the different mathematical strands (NCCA, 2017) and teaching for robust understanding (Schoenfeld, 2017) to ensure maths becomes more relevant for school and society in general.

Recent iterations of maths education reforms continue to show that changing how we teach mathematics is difficult, teachers struggle to find time to engage with reform or create new resources and as a result tend to rely heavily on textbooks (O’Meara & Milinkovic, 2023). Although various technological advances have been heralded as a “silver bullet” that will solve the issues with student engagement with mathematics, take-up and implementation of such resources by teachers has often remained at the periphery (Bennison & Goos, 2010). Many reasons have been cited as barriers to teacher uptake of new technological developments, including systemic issues such as class-size, timetabling and cost (Bray & Tangney, 2017), as well as access and logistical problems. However, another pressing issue, is a need for professional development (PD) for teachers (OECD, 2015).

There is consistent evidence indicating that a sustained and experiential approach to PD is essential to support teacher change (Desimone, 2011). It is essential that practitioners are provided with opportunities to develop their own understanding of the value and relevance of any proposed change, as well as to recognise the impact that it might have on their practice and on student outcomes (Kärkkäinen, 2012).

The latest technological advancement that is predicted to have a significant impact on our societies and futures is generative AI (GenAI). Many questions have arisen about its potential impact on education, which are speculated to be both positive and negative (Giannini, 2023). While there are ethical concerns about the black box nature around the understanding of the AI processes, and the veracity of the information which it provides (Kaplan-Rakowski et al., 2023), there are also significant fears around cheating and plagiarism. However, when used appropriately, GenAI offers many opportunities, with UNESCO suggesting it can be used for activities ranging from idea generation to a reflection aid (Sabzalieva & Valentini, 2023). Of relevance to this work is the potential for GenAI to support teachers in the generation of, and reflection upon, lesson plans and resources that address the issues in mathematics education highlighted above. Hence the “two birds” reference in title – teachers are learning how to engage with GenAI while creating lessons which aim to meet the goals of curriculum reform. However, in order to support this, appropriate PD must be provided.

Constructivism and constructionism are the theoretical frameworks that underpins this research, acknowledging an approach in which both the technology and the user are constructing knowledge (Ackermann E., 2001). As part of a wider PD engagement with schools experiential GenAI workshops are being designed and delivered. The workshops support teachers through an immersive, iterative experience, to create and reflect upon lesson ideas, lesson plans and rich learning experiences, that give context and purpose to their lessons.


Methodology, Methods, Research Instruments or Sources Used
This research is following an action research methodology where an iterative series of workshops will be used to support maths teachers to engage with, and reflect on the potential of, GenAI to assist with the planning of lessons and materials which are contextualised to the needs and interests of their own cohort of students. Versions of the workshops are being rolled out in a number of different contexts including an PD intervention as part of the university’s outreach programme (Presenter, 2024) an Erasmus+ project spanning four countries – Ireland, Czech Republic, Austria, and Sweden – and in TCD teacher training courses.
The workshops will initially look at supporting teachers to engage in a collaborative dialogue with GenAI. The GenAI will be used to develop learning experiences by situating questions, tasks, and series of lessons within culturally significant contexts that are likely to interest students. The teachers will then be asked to reflect upon the generated materials to determine how useful they are perceived to be. Using Guskey’s five levels of effective PD evaluations as a framework (Guskey, 2002), participants will be asked to evaluate each workshop’s effectiveness, demonstrate their understanding of the material by beginning a dialogue with the GenAI and reflect on any materials with their colleagues to promote teacher efficacy. Hattie lists collective teacher efficacy as the greatest influence on student attainment (Donohoo et al., 2018), and it is hoped that teacher collaboration and reflection, supported by this intervention, will increase through the collective use of GenAI to develop materials for the classroom.
While determining direct student outcomes from this research will not be possible, we aim to generate qualitative and quantitative data to measure teacher’s perceptions of the effects on students, as well as their own self-efficacy in the use of GenAI to plan and create mathematics lessons that are relevant and engaging for their learners.

Conclusions, Expected Outcomes or Findings
This research is in its early stages and to date only one PD workshop supporting teachers to engage with GenAI has been delivered to a small number of participants (<20). Feedback from the group has been very positive, with a satisfaction rating of 8.5 out of 10, with an obvious appetite for further PD. The workshop materials have also been integrated into an undergraduate mathematics education module for prospective teachers and a postgraduate course in initial teacher education.  
GenAI has shown to be excellent at linking mathematics to real-life topics and giving multiple explanations in simple language. An example of this was the use of ChatGPT 4 to create questions that frame a series of maths lessons to give meaning and context. It was also used to convert questions into scenarios that might interest different groups of students, changing a question about party planning to one situated in the context of hurling (a popular Irish sport) or Fortnite (a popular computer game) in seconds. There are apparent gender biases evident already from using the technology, the GenAI creates baking and flower examples when asked for a female context, sport and computer games when asked for a male context. This will be highlighted going forward along with any other issues which arise. This is a rapidly changing field both in terms of capability and the range of platforms becoming available which will focus solely on education. Ongoing research will be needed to ensure education stays relevant.

References
Ackermann E. (2001). Piaget’s constructivism, Papert’s constructionism: What’s the difference. Future of learning group publication, 5(3), 438.
Bennison, A., & Goos, M. (2010). Learning to teach mathematics with technology: A survey of professional development needs, experiences and impacts. Mathematics Education Research Journal, 22(1), 31-56.
Bray, A., & Tangney, B. (2017). Technology usage in mathematics education research–A systematic review of recent trends. Computers & Education, 114, 255-273.
Desimone, L. M. (2011). A primer on effective professional development. Phi Delta Kappan, 92(6), 68-71.
Donohoo, J., Hattie, J., & Eells, R. (2018). The power of collective efficacy. Educational leadership, 75(6), 40-44.
Giannini, S. (2023). Generative AI and the future of education. ADG; UNESCO: Geneva, Switzerland, 2.
Guskey, T. R. (2002). Does it make a difference? Evaluating professional development. Educational leadership, 59(6), 45-51.
Kaplan-Rakowski, R., Grotewold, K., Hartwick, P., & Papin, K. (2023). Generative AI and teachers’ perspectives on its implementation in education. Journal of Interactive Learning Research, 34(2), 313-338.
Kärkkäinen, K. (2012). Bringing about curriculum innovations. In OECD Education Working Papers, No. 82. OECD Publishing (NJ1).
NCCA. (2017). Junior cycle mathematics syllabus. Dublin: Department of Education and Skills
O’Meara, N., & Milinkovic, J. (2023). Learning from the past: Case studies of past ‘local’curriculum reforms. In Mathematics Curriculum Reforms Around the World: The 24th ICMI Study (pp. 67-85). Springer International Publishing Cham.
OECD. (2015). Students, Computers and Learning. https://doi.org/doi:https://doi.org/10.1787/9789264239555-en
Presenter, E. B., Presenter, A. B., Presenter, B. T., Presenter, E. B. (2024, Aug 27-30). Expectancy-Value Theory in professional development for math teachers in areas of low SES European Conference on Educational Research, Nicosia, Cyprus.
Sabzalieva, E., & Valentini, A. (2023). ChatGPT and artificial intelligence in higher education: quick start guide.
Schoenfeld, A. H. (2016). Learning to think mathematically: Problem solving, metacognition, and sense making in mathematics (Reprint). Journal of education, 196(2), 1-38.


24. Mathematics Education Research
Paper

Use of Learning Analytics in K-12 Mathematics Education – Systematic Scoping Review of Impact on Teaching and Learning

Rebecka Rundquist, Kristina Holmberg, John Rack, Zeynab {Artemis} Mohseni, Italo Masiello

Linnaeus University, Sweden

Presenting Author: Rundquist, Rebecka

The generation and use of digital data and analyses in education comes with promises and opportunities, especially where digital materials allow use of Learning Analytics (LA) as a tool in Data-Based Decision-Making (DBDM). LA implies, analysing educational data to understand and optimise learning and learning environments (Siemens & Baker, 2012). In this paper we discuss LA as “a sophisticated form of data driven decision making” (Mandinach & Abrams, 2022, p. 196) as we explore how LA is used to support mathematics teaching and learning with digital materials in classroom practice. Data driven decision making or DBDM has been defined by Schildkamp and Kuiper (2010) as “systematically analyzing existing data sources within the school, applying outcomes of analyses to innovate teaching, curricula, and school performance, and, implementing (e.g., genuine improvement actions) and evaluating these innovations” (p. 482). DBDM is a key for the interpretation of LA, and can use any form of data, but in this review, the term DBDM is restricted to digital data. Using LA as a tool for DBDM could streamline data, making it more readily interpretable. However, questions remain about how usage can translate into practice (Mandinach & Abrams, 2022).

Quality of technology integration is not merely about technology use, but also about pedagogical use (Ottestad & Guðmundsdottir, 2018), about transformation and amplification of teaching as well as learning through use of technology (Consoli, Desiron & Cattaneo, 2023). LA within Digital Learning Material (DLM) can offer learners adaptive functions seamlessly embedded in DLMs or, provide learners (and teachers) compiled student assessments in relation to learning goals extracted from learning activities (Wise, Zhao & Hausknecht, 2014). The role of the teacher in student learning is clearly of central importance (Hattie & Yates, 2013; Yackel & Cobb, 1996), and teachers have a key responsibility to make digital technology a recourse in teaching to support student learning (Scherer, Siddiq & Tondeur, 2019).

This paper present findings from an exploratory systematic scoping review which was conducted regarding the use and impact of LA and DBDM in classroom practice to outline aspects related to Digital Learning Material (DLM), teacher usage, and student learning in the context of K-12 mathematics education.

A scoping review was deemed most appropriate since it can be performed even if there is limited number of published primary research (Gough, Oliver & Thomas, 2017), fitting new research areas such as LA, as it provides “a technique to ‘map’ relevant literature in the field of interest” (Arksey & O’Malley, 2005, p. 20), as well as combine different kinds of evidence (Gough, et al., 2017).


Methodology, Methods, Research Instruments or Sources Used
The methodology used the five-stage framework (Arksey & O’Malley, 2005), identifying the research question, identifying relevant studies, study selection, charting the data, collating, summarizing, and reporting the results. The databases ACM Digital Library, ERIC, PsycINFO, Scopus and Web of Science were chosen as they cover a wide range of topics within both technology and educational science to answer:
RQ1: How are analyses of digital data from DLM used in mathematics education?
RQ2: How do analyses of digital data from DLM impact teaching and learning?
The key elements of the research questions, Participants, Phenomena of Interest, Outcome, Context, Type of Source of Evidence (Arksey & O’Malley, 2005) were used to create the eligibility criteria. Publications that were included reported qualitative and/or quantitative data and were connected to the use of DLM and LA based on digital data involving students (between 6–19 years old) and teachers in mathematics K-12 education. The search was limited to papers published from 2000 up-to-date (March 2023) in English, Swedish or Norwegian. Exclusion criteria were developed to ensure consistency within the selection process.
Each record was screened by two reviewers and the relevance were coded according to the inclusion criteria. An independent researcher outside of the review group was consulted to design and validate the results of an inter-rater reliability test. The calculated inter-rater reliability score was 0.822, greater than 0.8, indicating a strong level of agreement (McHugh, 2012). After further screening 57 records were assessed to be eligible. At this stage the review pairs swapped batches and preformed data extraction showing, authors, year, title, location, aim, population, digital technology, method, intervention, outcomes, and key findings was performed for each record.
The final selection of 15 articles was made by group discussion and consensus. Discussions mainly centred around four components (use, analysis, learning and teaching). The heterogeneity in our sample demanded a configurative approach to the synthesis to combine different types of evidence (Gough et al., 2017). A thematic summary provided the analysis with a narrative approach to answer RQ1. To explore RQ2 more deeply, a thematic synthesis was performed (Gough et al., 2017). The analysis focused on LA-usage based on digital data for student learning, for teaching, and for teachers’ DBDM. PRISMA Extension for Scoping Reviews (PRISMAScR) (Tricco, Lillie, Zarin, O'Brien, Colquhoun, Levac et al., 2018) was used as guidelines for reporting the results.

Conclusions, Expected Outcomes or Findings
3653 records were identified whereof 15 studies were included. Results show that LA-research is an emerging field, where LA-applications is used across many contents and curricula standards of K-12 mathematics education. LA were mainly based on continuously collected individual student log data concerning student activity in relation to mathematical content. Eight of the studies included embedded analytics and all 15 studies included extracted analytics, but accessibility varied for students and teachers. Overall, extracted analytics were mainly mentioned as a function for teacher-usage, available as tools for formative assessment, where analytics need to be translated by teachers into some kind of pedagogical action (i.e., into teaching).
LA-usage supports a wide variety of teachers’ data use, and while mathematics teachers seemed to have a positive attitude towards LA-usage, some teachers were unsure of how to apply it into their practice. The thematic synthesis yielded two themes regarding teaching, which showed that teaching by DBDM focused on Supervision and Guidance. Results indicate extracted analytics is more commonly used for Supervision than Guidance.
Results regarding learning suggest that LA-usage have a positive effect on student learning, where high-performing students benefit most. The included studies examine students’ digital learning behaviour, by describing sequences of actions related to LA, learning outcomes and student feelings. Hereby, through the thematic synthesis, we capture parts of students’ studying-learning process and how it can be affected by LA usage. Finally, we suggest a definition of an additional class of LA, which we introduce as Guiding analytics for learners.
Going forward, research on using LA and DBDM is essential to support teachers and school leaders to meet today’s demands of utilising data, to be aware of possible unwanted consequences, and to use technology to enhance active learners and students’ ownership of learning.

References
Arksey, H., & O'Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8(1), 19-32.
Consoli, T., Desiron, J., & Cattaneo, A. (2023). What is “technology integration” and how is it measured in K-12 education? A systematic review of survey instruments from 2010 to 2021. Computers & Education, 197, Article 104742.
Gough, D., Oliver, S., & Thomas, J. (red.) (2017). An introduction to systematic reviews. (2nd edition). Los Angeles, Ca.: SAGE.
Hattie, J., & Yates, G. (2013). Visible learning and the science of how we learn. Routledge.
Mandinach, E. B., & Abrams, L. M. (2022). Data Literacy and Learning Analytics. In Lang, C., Siemens, G., Wise, A. F., Gašević, D. & Merceron, A. (Eds.). Handbook of Learning Analytics (2nd. Ed., pp.196-204). SoLAR, Vancouver, BC.
McHugh M. L. (2012). Interrater reliability: the kappa statistic. Biochemia medica, 22(3), 276–282.
Ottestad, G., & Guðmundsdóttir, G. B. (2018). Information and communication technology policy in primary and secondary education in Europe. In J. Voogt, G. Knezek, R. Christensen, & K.-W. Lai (Eds.), Handbook of information technology in primary and secondary education (pp. 1–21). Springer.
Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education 128, 13–35.
Schildkamp, K., & Kuiper, W. (2010). Data-informed curriculum reform: Which data, what purposes, and promoting and hindering factors. Teaching and Teacher Education 26(3), 482–496.
Siemens, G., & Baker, R. S. J. d. (2012). Learning analytics and educational data mining: towards communication and collaboration. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12). Association for Computing Machinery, New York, NY, USA, 252–254.
Tricco, A. C., Lillie, E., Zarin, W., O'Brien, K. K., Colquhoun, H., Levac, D., Moher, D., Peters, M. D., Horsley, T., Weeks, L., Hempel, S., Akl, E. A., Chang, C., McGowan, J., Stewart, L., Hartling, L., Aldcroft, A., Wilson, M. G., Garritty, C., … Straus, S. E. (2018). PRISMA Extension for Scoping Reviews (PRISMAScR): Checklist and Explanation. Ann Intern Med, 169(7), 467–473.
Wise, A. F., Zhao, Y., & Hausknecht, S. N. (2014). Learning Analytics for Online Discussions: Embedded and Extracted Approaches. Journal of Learning Analytics, 1(2), 48‐71.
Yackel, E., & Cobb, P. (1996). Sociomathematical Norms, Argumentation, and Autonomy in Mathematics. Journal for Research in Mathematics Education, 27(4), 458–477.
 
12:45 - 13:3024 SES 10.5 A: NW 24 Network Meeting
Location: Room LRC 019 in Library (Learning Resource Center "Stelios Ioannou" [LRC]) [Ground Floor]
Session Chair: Elif Tuğçe Karaca
Network Meeting
 
24. Mathematics Education Research
Paper

NW 24 Network Meeting

Elif Tuğçe Karaca

KIRIKKALE UNIVERSITY, Turkiye

Presenting Author: Karaca, Elif Tuğçe

Networks hold a meeting during ECER. All interested are welcome.


Methodology, Methods, Research Instruments or Sources Used
.
Conclusions, Expected Outcomes or Findings
.
References
.
 
15:45 - 17:1524 SES 12 A: Mathematics Education in Challenging Contexts
Location: Room LRC 019 in Library (Learning Resource Center "Stelios Ioannou" [LRC]) [Ground Floor]
Session Chair: Elif Tuğçe Karaca
Paper Session
 
24. Mathematics Education Research
Paper

Supporting Mathematics Teachers in Areas of Educational Disadvantage: Initial Findings from a Systematic Literature Review

Aibhin Bray1, Emma Berry1, Anette Bagger2, Brendan Tangney1

1Trinity College Dublin, The University of Dublin, Ireland; 2Dalarna University, Sweden

Presenting Author: Bray, Aibhin

There are disparities in achievement and opportunity across the board in areas of socio-economic disadvantage. The gaps in mathematics are particularly stark and this has significant negative implications for student choice in post-secondary education and subsequent access to further education and occupations, particularly within STEM-fields. This study uses Bronfenbrenner and Morris’s (2007) Process-Person-Context-Time (PPCT) as a theoretical framework to present a snapshot of some of the influential factors at play, and then to examine the initial results of a systematic literature review (SLR) that explores empirical attempts that have been made to address these issues.

The importance of education in relation to future earnings, health and wellbeing is well understood, and, according to the Salamanca Statement and Framework outlined by UNESCO (1994), it behoves governments and other stakeholders around the world to implement strategies that will improve the educational opportunities for disadvantaged children. However, in order to do so, it is essential to firstly ask what factors might influence these outcomes, and secondly, how can we best address them. In this introductory section the PPCT theoretical framework is used to present some of the myriad factors at play specifically within the field of mathematics education, providing a holistic base upon with to consider any strategies to address them. Using PPCT as a lens, the following key points have emerged:

Process: According to Ekmekci, Corkin, and Fan (2019), while students from socio-economically disadvantaged backgrounds are particularly in need of effective pedagogy, they are more likely to “receive less effective instruction on average compared to their higher income peers” p. 58. Within such contexts, teacher’s pedagogic approaches tend to focus more on controlling behaviours (Megowan-Romanowicz, Middleton, Ganesh, & Joanou, 2013). These are examples of intrinsic didactical exclusion which reproduce structural disadvantage in societies, through mathematics.

Person: As noted by Ní Shuilleabhain, Cronin, and Prendergast (2020), students’ attitudes towards mathematics tend to be more negative in schools in areas of low Socio-Economic Status (SES), and pupils in such schools tend to have higher levels of mathematical anxiety and lower self-concept in mathematics.

Context: Low SES Neighbourhoods are often recognised as being less conducive to educational achievement, with less access to social capital via mentors or role models, and fewer resources (Dietrichson, Bøg, Filges, & Klint Jørgensen, 2017). Dotson and Foley (2016) highlight the challenges in hiring and retaining high quality mathematics teachers to schools in low SES areas, citing the “inherent difficulty” of working in such contexts. This can lead to a cycle of low expectations for students, and, given that “the development of student motivation flows at least partially through teacher motivations and motivation related behaviors” (Megowan-Romanowicz et al., 2013, p. 53), the influence of such low expectations can be damaging.

Time: The initial years in post-primary are understood as crucial for a student’s mathematical journey, with performance at this stage acting as a gatekeeper to higher-level mathematics courses and beyond that to STEM courses and careers. Unfortunately, it is precisely at this juncture that achievement gaps tend to widen for students from lower SES backgrounds (McKenna, Muething, Flower, Bryant, & Bryant, 2015).

This section has highlighted a few of the many reasons why achievement in mathematics is stratified along socio-economic lines. This study uses a SLR methodology to attempt to address the following research questions:

  1. What types of empirical research have been undertaken aiming to address the mathematical achievement gap between low SES students and their more affluent peers?
  2. What ‘best practices’ or ‘guidelines’ can be extrapolated from these studies to inform future work?

Methodology, Methods, Research Instruments or Sources Used
The goal of this study is to review empirical research reporting on interventions that aim to address issues in mathematics education associated with low SES, with a particular focus on the post-primary education sector. Where possible, emphasis will be placed on the 11 – 15 age group, reflecting the impact of the Time component of the PPCT model as highlighted above. Having identified relevant studies, this research aims to explore and build on what can be learned from such an analysis.
The search procedure drew on six relevant databases: ERIC (EBSCOhost), British Education Index, Academic Search Complete, SCOPUS, Web of Science, and APA PsycArticles. Concatenated (using the AND operator) search terms in each database related to subject (mathematics), education level (post primary), educational disadvantage (low SES), and interventions (empirical). In each database, the searches were conducted across title and abstract (using the OR operator) and the subject thesaurus where available.
Once duplicates were removed, a total of 528 studies remained for title and abstract screening. Inclusion and exclusion criteria relating to the population, intervention, outcome, and study characteristics (PICOS) were used to support the identification of relevant articles. Three of the four authors have been involved in the screening process and all of the titles/abstracts were screened by at least two researchers. There was approximately 90% agreement between the researchers, with any conflicts resolved by a third reviewer. Of the articles screened, 449 studies were deemed irrelevant, leaving 79 for full-text review.
At this point the full review has not been completed, but some very interesting initial findings have emerged, with possible implications for practice.

Conclusions, Expected Outcomes or Findings
At this early stage of analysis, the interventions identified in the literature fall under the two broad categories of teacher professional development (PD), and diverse pedagogic approaches implemented directly with students. Both fall under the category of Process within the PPCT framework, with the pedagogically focused interventions impacting on the Person at the centre of the model (the student) and the professional development on the Context and the teachers’ influence therein.
Given the significant extant research highlighting the fact that teacher’ self-efficacy and beliefs can have a substantial impact on student outcomes (Archambault, Janosz, & Chouinard, 2012), it stands to reason that initiatives that aim to support students from low SES backgrounds should also focus on PD in these areas. Promoting a positive classroom climate provides scope to improve student-teacher relationships and to potentially enhance student motivation and achievement. The work of Valerio (2021) points to the importance of structuring PD in a sustained way that supports collaboration between teachers, and an iterative approach to planning.
Regarding pedagogy that supports student engagement, results indicate that more focus should be placed on mastery rather than performance goals, emphasising active learning approaches (Megowan-Romanowicz et al., 2013). Mirza and Hussain (2014) highlight that it is important to take the time to ensure deep understanding using “rich” tasks. And Cervantes, Hemmer, and Kouzekanani (2015) note the positive impact of problem- and project-based learning on students from minority backgrounds
Results from the Programme for International Student Assessment (PISA) show that the strength of the relationship between test scores and socio-economic status (SES) varies markedly between countries (OECD, 2010, 2013), indicating that with the right supports, it can be possible to overcome a disadvantaged background (Dietrichson et al., 2017). The results of this research may go some way to providing a roadmap to achieving this.

References
Archambault, I., Janosz, M., & Chouinard, R. (2012). Teacher Beliefs as Predictors of Adolescents' Cognitive Engagement and Achievement in Mathematics. Journal of Educational Research, 105(5), 319-328. doi:http://dx.doi.org/10.1080/00220671.2011.629694
Bronfenbrenner, U., & Morris, P. A. (2007). The bioecological model of human development. Handbook of child psychology, 1.
Cervantes, B., Hemmer, L., & Kouzekanani, K. (2015). The impact of project-based learning on minority student achievement: implications for school redesign. Education Leadership Review of Doctoral Research, 2(2), 50-66.
Dietrichson, J., Bøg, M., Filges, T., & Klint Jørgensen, A.-M. (2017). Academic interventions for elementary and middle school students with low socioeconomic status: A systematic review and meta-analysis. Review of educational research, 87(2), 243-282. doi:10.3102/0034654316687036
Dotson, L., & Foley, V. (2016). Middle Grades Student Achievement and Poverty Levels: Implications for Teacher Preparation. Journal of Learning in Higher Education, 12(2), 33-44.
Ekmekci, A., Corkin, D. M., & Fan, W. (2019). A multilevel analysis of the impact of teachers' beliefs and mathematical knowledge for teaching on students' mathematics achievement. Australian Journal of Teacher Education (Online), 44(12), 57-80.
McKenna, J. W., Muething, C., Flower, A., Bryant, D. P., & Bryant, B. (2015). Use and Relationships among Effective Practices in Co-Taught Inclusive High School Classrooms. International Journal of Inclusive Education, 19(1), 53-70.
Megowan-Romanowicz, M. C., Middleton, J. A., Ganesh, T., & Joanou, J. (2013). Norms for participation in a middle school mathematics classroom and its effect on student motivation. Middle Grades Research Journal, 8(1), 51.
Mirza, A., & Hussain, N. (2014). Motivating Learning in Mathematics through Collaborative Problem Solving: A Focus on Using Rich Tasks. Journal of Education and Educational Development, 1(1), 26-39.
Ní Shuilleabhain, A., Cronin, A., & Prendergast, M. (2020). Maths Sparks engagement programme: investigating the impact on under-privileged pupils’ attitudes towards mathematics. Teaching Mathematics and Its Applications: International Journal of the IMA, 40(1), 133-153.
OECD. (2010). PISA 2009 Results: Overcoming Social Background.
OECD. (2013). PISA 2012 results: excellence through equity: giving every student the chance to succeed (volume II) (9789264201125 (print)). Retrieved from Paris: http://www.oecd.org/pisa/keyfindings/pisa-2012-results-volume-ii.htm
UNESCO. (1994). The Salamanca Statement and Framework for action on special needs education: Adopted by the World Conference on Special Needs Education; Access and Quality: UNESCO.
Valerio, J. (2021). Tracing take-up across practice-based professional development and collaborative lesson design. Paper presented at the Proceedings of the 43rd Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education.


24. Mathematics Education Research
Paper

Expectancy Value Theory in Professional Development for Math Teachers in Areas of Low Socio-Economic Status

Emma Berry, Aibhin Bray, Brendan Tangney, Eleanor Byrne

Trinity College Dublin, Ireland

Presenting Author: Berry, Emma

Despite attempts to address the well-documented issues in mathematics education with curriculum reform and associated professional development (PD) programmes, significant challenges remain in relation to the teaching and learning of mathematics in schools, particularly in areas of low socio-economic status (SES). In relation to recent curriculum reform in Ireland, research has highlighted teachers’ frustration with the new curriculum specification, a lack of faith in the teaching methodologies being promoted, and a demand for additional PD and support (Byrne & Prendergast, 2020). This lack of faith can mean that teachers often select, a la carte, the approaches they feel address their own concerns or align most with their own beliefs, leading to at best a hybridized version of practice (Cavanagh, 2006).

A wealth of research highlights the prevalence of what Corkin et al. (2015) refer to as “pedagogy of poverty”, noting that students from low SES backgrounds are at an increased risk of rigid, teacher-centric, formulaic pedagogical approaches, focusing on punctuality, and maintaining control. Factors influencing the approaches used include low teacher perception of student ability, which can often be related to, low teacher self-efficacy, out-of-field or inexperienced teachers, or lack of buy-in to reform practices, (Byrne & Prendergast, 2020; Ni Shuilleabhain et al., 2021; Yanisko, 2016). Given the domain-specific challenges of mathematics, and the additional challenge associated with educational disadvantage, there is a need for targeted intervention with schools that serve underrepresented cohorts.

PD is obviously central to such an intervention, but for it to be effective, the literature suggests that it must be a sustained, long running programme that acknowledges the iterative and reflective nature of development of teaching practices, and is deeply rooted in the context of the school (Desimone, 2011; Lieberman, 1995). It should jointly focus on a hands-on element and a co-creative, collaborative planning element within a community of practice. These separate but complimentary factors facilitate the iterative shift between knowledge building and practice through the reflective process (Valerio, 2021).

This paper describes a project that involves working with mathematics teachers in low SES schools in an effort to support them to make the most of curriculum reform and to ultimately help improve student engagement and attainment in the subject at lower secondary (ages ~12 – 15).

The theoretical framework underpinning this is expectancy-value theory (EVT), which posits that both one’s expectation for success (expectancy) and how one values a task (a combined measure of intrinsic, attainment, utility values and cost) directly influence the decision to undertake, and the level of persistence towards, the task (Wigfield & Eccles, 2000). The “task” in the context of this research, is conceptualised as faithful engagement with the new curriculum specification.

Based on the principals of EVT and the features of effective PD described by Desimone (2011) a series of PD interventions were co-planned and co-created, by the research team and participating teachers, with the aim of increasing task value and supporting growth in expectancy beliefs of the teachers. This was achieved by:

  • Creating bespoke PD sessions in direct response to feedback of perceived needs and barriers of participants in relation to their practice and implementation of the intended revised curriculum, thus increasing perceived utility.
  • Co-creative lesson planning, combined with in-school support in terms of planning time and co-teaching to reduce perceived cost of engagement.
  • Focusing on best-practice informed strategies of context-rich problems and inquiry-based learning to increase student engagement, which in turn increases teacher attainment value.
  • Giving teachers low-risk opportunities to experience reform practices, through observations, co-teaching and targeted workshops, scaffolds growth in expectancy and ability values.

Methodology, Methods, Research Instruments or Sources Used
The intervention is taking the form of a longitudinal mixed methods study involving teachers from five Irish schools in areas that serve underrepresented populations. A combination of convenience and voluntary sampling methods were used to recruit school partners. The researchers put out a call for expressions of interest to ~20 schools already involved in the university’s widening participation programme, the Trinity Access Programme (TAP), whose mission is aimed at increasing the number of students from low SES backgrounds applying to higher education. It does this though a suite of activities for students, teachers and schools (Bray et al., 2022). Of the 20 schools, five were selected and engagement began in 2022-23 academic year.

An annual survey is administered to participating mathematics teachers in each of the five schools, generating quantitative data. Comparative data is generated by mathematics teachers in the wider group of twenty schools, facilitating comparison with non-participants working in similar contexts. The first survey was administered at the start of the project with an aim of collecting baseline data relating to teacher beliefs, self-efficacy, confidence, and current practice. Teachers were also asked about the culture in their schools, their levels of collaboration with peers, and their perceived level of support from management. Questions used in the survey draw from the PISA 2022 survey – allowing for additional international comparison, along with more explicit questions in the areas listed. The quantitative data generated will be analysed using SPSS.

Additional qualitative data will be collected via interviews and focus groups of participating teachers. Transcripts of interviews will then be imported into NVivo for thematic analysis. Codes will be generated inductively through repeated readings and assigned and reassigned iteratively. These codes will then be analysed for commonalities and allocated into broad themes.

Conclusions, Expected Outcomes or Findings
Initial findings from the baseline survey (N=28) show that “chalk and talk” style methods and “use of textbook for guiding lessons” both rank highly in terms of usage (81% and 50% respectively stating often/always) and levels of comfort (41% and 28% respectively ranking most comfortable). However, respondents acknowledged that neither align well with the goals of the reformed curriculum, with over 60% ranking both as moderately to poorly aligned. Finally, the highest factors influencing methodologies used in class were “comfort and experience” and “facilities and resources available”, with 44% ranking facilities and resources as most influential. While not explicitly mentioned in the survey, it suggests that access to additional resources, e.g., planned lesson activities, and increased experience using them may result in increased usage of the recommended practices.

At this preliminary stage of implementation of the PD sessions, initial findings from ad-hoc interviews and feedback reports highlight: self-reported increased willingness to adopt reform practices; perceived increase in student engagement; and self-reported implementation of planning practices across other departments, which may be indicative of increased levels of self-efficacy; higher feelings of attainment value; and reduced feelings of cost, respectively.

Targeted and prolonged PD that addresses the struggles felt in both planning and applying reform practices is required to embed these practices in classrooms, with teachers in Ireland generally feeling unsupported with curriculum change and wanting further access to PD to support this (Byrne & Prendergast, 2020). The cyclical and reflective nature of embedding practices necessitates the prolonged, frequent, and bespoke nature of this PD. Furthermore, as evidenced by the literature the need for this PD is especially felt in schools which serve low SES cohorts, to improve expected outcomes for students (Corkin et al., 2015) and reduce the perceived workload and emotional exhaustion felt by teachers (Van Eycken et al., 2024).

References
Bray, A., Hannon, C., & Tangney, B. (2022). Large-scale, design-based research facilitating iterative change in Irish schools - the Trinity Access approach.
Byrne, C., & Prendergast, M. (2020). Investigating the concerns of secondary school teachers towards curriculum reform. 52(2), 286-306.
Cavanagh, M. (2006). Mathematics teachers and working mathematically: Responses to curriculum change. Identities, cultures and learning spaces, 115-122.
Corkin, D. M., Ekmekci, A., & Papakonstantinou, A. (2015). Antecedents of teachers' educational beliefs about mathematics and mathematical knowledge for teaching among in-service teachers in high poverty urban schools. Australian Journal of Teacher Education (Online), 40(9), 31-62.
Desimone, L. M. (2011). A Primer on Effective Professional Development. 92(6), 68.
Lieberman, A. (1995). Practices That Support Teacher Development: Transforming Conceptions of Professional Learning. 76(8), 591.
Ni Shuilleabhain, A., Cronin, A., & Prendergast, M. (2021). Maths Sparks Engagement Programme: Investigating the Impact on Under-Privileged Pupils' Attitudes towards Mathematics. 40(2), 133.
Valerio, J. (2021). Tracing Take-Up across Practice-Based Professional Development and Collaborative Lesson Design. 14.
Van Eycken, L., Amitai, A., & Van Houtte, M. (2024). Be true to your school? Teachers' turnover intentions: the role of socioeconomic composition, teachability perceptions, emotional exhaustion and teacher efficacy. 39(1), 24-49.
Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. 25(1), 68-81.
Yanisko, E. J. (2016). Negotiating Perceptions of Tracked Students: Novice Teachers Facilitating High-Quality Mathematics Instruction. 9(2), 153.
 
17:30 - 19:0024 SES 13 A: Mathematics Education in Early Years
Location: Room LRC 019 in Library (Learning Resource Center "Stelios Ioannou" [LRC]) [Ground Floor]
Session Chair: Elif Tuğçe Karaca
Paper Session
 
24. Mathematics Education Research
Paper

"Exploring Kindergartners’ Thinking in Division: A Case Study"

Galatia Kontakki, Iliada Elia

University of Cyprus, Cyprus

Presenting Author: Kontakki, Galatia

In the past few years, the interest in the mathematical development of preschool children has increased. An important reason for this is the evidence provided by research that children’s competence levels in numeracy before or at the beginning of school are significant predictors of their achievement over the school years (e.g., Watts et al., 2014). Considering also that mathematical literacy is a key component of STEM education, which contributes to the knowledge and skills individuals need to develop to live and grow in our modern societies of information and technology, (early) mathematics education should be regarded as one of the most important constituents of the educational system. Early years mathematics education aims to offer children mathematical experiences and learning opportunities through which the children shall strengthen their mental abilities, to be able to structure mathematical concepts and develop mathematical skills both in the present and in the future.

In recent years several researchers have studied preschool children’s number sense and number-related abilities, including quantitative reasoning, that is, additive reasoning, which refers to addition and subtraction (e.g., Purpura & Lonigan, 2013) and multiplicative reasoning, which refers to multiplication and division (e.g., Nunes et al., 2015; Van den Heuvel-Panhuizen & Elia, 2020). Multiplicative reasoning, which is more complex than additive reasoning (Urlich, 2015), has received less research attention.

The present study focuses on the mathematical concept of division. Specifically, the research objective of the study is to gain an in-depth insight into kindergartners’ thinking in division. The research questions that are addressed in the present study are the following: (a) How do kindergartners make sense of division?, (b) What strategies do kindergartners use to solve division problems?, (c) What difficulties do kindergartners encounter in division? A further concern of the study was to identify possible differences in making sense of division by kindergartners of different ages.

Division is the process of dividing a quantity or a set into equal parts. Partitive division and quotative division are two major types of division problems (Nunes et al., 2015). In partitive division a group of objects is divided into equal subgroups and the solver has to find the size of each subgroup. In the quotative division, the size of the whole group and the size of each equal subgroup are known and the solver must find out how many equivalent subgroups there are (Van de Walle et al., 2014).

From the two types of division, partitive division is the type of division that children develop first (Clements et al., 2004). An informal strategy that is often used by children in partitive division with concrete objects is the distribution of the objects one by one (one-by-one strategy) or two by two (two-by-two strategy) to the recipients (subgroups). The difficulties encountered by the children in division are often caused by the increase of the quantity children are asked to divide among a certain number of recipients and also by the increase of the number of recipients to whom the certain quantity must be divided in partitive division or by the increase of the number of items of each equal subgroup in quotative division (Clements et al., 2004).


Methodology, Methods, Research Instruments or Sources Used
The present study is a case study which explores the mathematical thinking of two kindergartners in the concept of division.  Child 1 was six years old (6 years and 4 months) and Child 2 was almost five years old (4 years and 10 months) at the time of the interview. The children did not receive explicit instruction on division before the study. For the data collection clinical semi-structured interviews (Ginsburg, 1997) were used in order to better understand how children think about division and solve problems of division.
Before the interviews, which were carried out individually for each child, a common question guide (protocol) was developed for both children, which included six division tasks and questions which aimed to reveal children’s ideas, conceptions and processes when solving each of the tasks. The six tasks involved either partitive or quotative division and were hierarchically ordered based on their difficulty level. During the interviews, for every task, each child had at his disposal relevant material (concrete objects or pictorial representations) which he was encouraged to use to solve the task and demonstrate his thinking. Two of the division problems that were used are the following: (1) John has some biscuits to give to his two dogs. He wants the two dogs to get the same number of biscuits. How can you help John to do this? Each child was asked to solve the task for different quantities of biscuits (n=2,4,6,10,14, or 20) (partitive division); (2) Mrs Rabbit has 7 carrots and she would like to put them into some baskets. She wants each basket to have 2 carrots. Draw the baskets that she will need (quotative division).  
Open-ended and more focused questions which prompted children to express their thinking were used at various moments throughout the interviews by the researcher, such as: “Can you explain to me how you got this answer”, “How did you do it?”, “Are there any carrots left? How many?”, “Can you draw the amount of carrots left?” The exact questions and their wording varied between the two children, depending on their responses.
The interviews were conducted at a quiet place familiar to the children. The interview with Child 1 lasted 29 minutes, and with Child 2 37 minutes. Short breaks were taken when needed. The interviews were videotaped and after they were transcribed, the data analysis was carried out using the method of thematic analysis (Boyatzis, 1998).  

Conclusions, Expected Outcomes or Findings
Both children in the study demonstrated adequate awareness of various aspects of the concept of division. The use of concrete objects or pictures was a major part of both children’s processes of representing, making sense and solving most of the division problems.
However, a few constraints were identified in the younger kindergartner’s thinking which were not found in the older kindergartner’s reasoning. Particularly, Child 1 (older) could solve both types of division problems which included quantities up to twenty items, while Child 2 (younger) could better solve partitive division problems with quantities of items up to ten and with up to two subgroups. Child 2 encountered difficulties in solving quotative division tasks mainly because he did not recognize that every group should have a specific size. Interestingly both children solved the incomplete division task successfully. This could be possibly due to the small quantity of the items included in the problem.
Both children often used the one-by-one strategy to solve the partitive division problems. Grouping of the items of the whole set was mainly used for the solution of the quotative tasks. The older child was also found to use mental strategies for some partitive and quotative tasks.  
As this is a case study, these findings cannot be generalized, but they indicate that children can reason in division even prior to receiving any instruction on the specific concept, and this could be considered by teachers before starting the formal teaching of division. This intuitive thinking in division was found to differ between the younger kindergartner and the older one. Further quantitative and qualitative studies could be conducted to specify, to what extent and in what ways, age and other children-related characteristics (e.g., gender, language, home environment) influence children’s performance, their thinking and its development in division at a kindergarten level.

References
Boyatzis, R. E. (1998). Transforming qualitative information: Thematic analysis and code development. Sage.
Clements, D.H., Sarama, J., & DiBiase, A.M. (Eds.) (2004). Engaging young children in mathematics. Standards for early childhood mathematics education. Mahwah, New Jersey: Lawrence Erlbaum Associates.
Ginsburg, H. P. (1997). Entering the child's mind: The clinical interview in psychological research and practice. Cambridge University Press.
Nunes, T., Bryant, P., Evans, D., & Barros, R. (2015). Assessing quan- titative reasoning in young children. Mathematical Thinking and Learning, 17(2–3), 178–196.
Purpura, D. J., & Lonigan, C. J. (2013). Informal numeracy skills: The structure and relations among numbering, relations, and arith- metic operations in preschool. American Educational Research Journal, 50(1), 178–209.
Ulrich, C. (2015). Stages in constructing and coordinating units additively and multiplicatively (Part 2). For the Learning of Math- ematics, 36(1), 34–39.
Van den Heuvel-Panhuizen, M., & Elia, I. (2020). Mapping kindergartners’ quantitative competence. ZDM Mathematics Education, 52(4), 805-819.
Van de Walle, J. A., Lovin, L. A. H., Karp, K. H., & Williams, J. M. B. (2014). Teaching Student-Centered Mathematics: Developmentally Appropriate Instruction for Grades Pre K-2 (Vol. 1). Pearson Higher Ed.
Watts, T. W., Duncan, G. J., Siegler, R. S., & Davis-Kean, P. E. (2014). What’s past is prologue: Relations between early mathematics knowledge and high school achievement. Educational Researcher, 43(7), 352-360.


24. Mathematics Education Research
Paper

Exploring the Possibilities of the Use of Picture Books for Inducing Mathematical Thinking in Early Childhood

Lucy Alambriti, Iliada Elia

University of Cyprus, Cyprus

Presenting Author: Elia, Iliada

In recent years, there is a growing interest in early childhood mathematics education research at an international level (Elia et al., 2023). This interest is attributed to a large extent to the increasing emphasis given on preschool education in many countries (e.g., Kagan & Roth, 2017) and to the findings of various studies which provide evidence for the significant role of young children’s early mathematical competences in their mathematics learning and performance later at school (Watts et al., 2014). Based on the above, the need of high-quality mathematics learning experiences from the beginning of children’s education is stressed.

A major pedagogical tool that is systematically used in early childhood education is picture books. Picture books are books that convey information either through a combination of images - text, or only through a series of images (Kümmerling – Meibauer et al., 2015). Picture books are used to nurture children’s emotional, social, and intellectual development as well as to develop children in content areas such as mathematics (Cooper et al., 2020). Particularly, picture books can provide a meaningful framework for learning mathematics and provide an informal base of experience with mathematical ideas that can be a starting point for more formal levels of understanding (Van den Heuvel-Panhuizen et al., 2009). Based on the findings of van den Heuvel-Panhuizen et al.’s study (2016), reading picture books should have an important place in the kindergarten curriculum to support children’s mathematical development.

Picture book reading in preschool can be done as an informal and spontaneous activity in which children are involved during free play and also as an activity that is organized and guided by the teacher (Van den Heuvel-Panhuizen & Elia, 2013). Considering the latter case, picture books can be used in all phases of the learning process, such as introducing new mathematical concepts, assessing children’s prior knowledge, deepening understanding and revising topics (Van den Heuvel-Panhuizen & Elia, 2012). Educators can make use of picture books by asking questions, posing problems to children, offering opportunities to discuss mathematical ideas and by adding relevant activities to provoke further exploration of the mathematics included in picture books.

In previous studies, different types of picture books were used to stimulate children’s mathematical development. With respect to the mathematical content included in the picture books, based on Marston’s (2014) work, a distinction can be made between (a) picture books with explicit mathematical content, which are written with the purpose to teach children mathematics, (b) picture books with embedded mathematical content, which are written primarily to entertain but the mathematics is intentional, and (c) picture books with perceived mathematical content, which tell an appealing story and in which mathematics is unintentional and implicit in the story.

According to the recent review on picture book reading in early years mathematics by Op ‘t Eynde et al. (2023), research studies that investigate the interplay between the picture books characteristics and the quality of picture book reading in early mathematics, based on the children’s and/or readers’ utterances, are rare. The present study could be considered as a step towards this research dimension, as it aims to explore the potential of the use of picture books with different characteristics in prompting children’s mathematical thinking.

Considering that, even if picture books are not written to teach mathematics, they may offer many opportunities for the exploration of mathematical ideas by young children (e.g., Dunphy, 2020), our study addresses the following research question: What are the possibilities offered by the use of picture books with embedded mathematical content and picture books with perceived mathematical content for inducing mathematical thinking in early childhood?


Methodology, Methods, Research Instruments or Sources Used
To provide a deeper insight into the possibilities of using different types of picture books to stimulate mathematical thinking in the early years, we conducted a case study in which a 4-year-old girl participated. The girl has attended nursery and then kindergarten since the age of 4 months. She has not received formal instruction in mathematics or reading.
Two picture books were used in the study: “The Very Hungry Caterpillar” (Carle, 2017) and “How to hide a Lion from Grandma” (Stephens, 2014). These picture books are high quality books, which tell appealing stories and are not written to teach children mathematical concepts or skills. However, the book “The Very Hungry Caterpillar” (Book 1) includes mathematical content that is intentional, while in the book “How to hide a Lion from Grandma” (Book 2) the mathematics is unintentional and incidental. Therefore, based on Marston’s (2014) proposed distinction, in Book 1 the mathematical content is embedded, while in Book 2 the mathematics is perceived.
The story of Book 1 is about a small caterpillar that comes out of its egg very hungry. So, every day of the week, she eats a different amount of fruit or sweets, starting with one fruit on Monday, two fruits on Tuesday, etc., until it is full and makes her cocoon where she falls asleep. After two weeks it comes out, and from a small caterpillar, it turns into a beautiful butterfly.
The story of Book 2 is about a little girl named Elli, who has a secret: she lives with a lion. Elli has to hide the lion so that her grandmother, who will stay with her on the weekend, does not find it. In the end, however, it seems that Elli’s grandmother is also hiding something she brought from home in her bedroom.
For the data collection, the researcher (first author of this paper) read each picture book to the child in a separate session. A book reading scenario was used during each session. The reading scenarios were developed for the two books separately, prior to the reading sessions, and included questions and activities related to the mathematical content of the books, aiming at inducing the child’s mathematical thinking during the picture book reading. Both sessions took place in a quiet place in the school and were recorded.  Each session lasted 20-30 minutes. The child’s mathematical thinking was examined by analyzing her utterances and her productions.

Conclusions, Expected Outcomes or Findings
The findings of the study show that using the picture books had the power to elicit the child’s mathematical thinking and activate her cognitively. Based on the child’s utterances, the use of both the book with the embedded mathematical content (Book 1, Caterpillar) and the book with the perceived mathematical content (Book 2, Lion) elicited mathematical thinking related to different mathematical concepts. Specifically, although the embedded mathematical content of Book 1 focuses on numbers and counting, its use evoked thinking not only in numbers, but also in measurement and algebra. The use of Book 2 elicited the child’s spatial reasoning and thinking in measurement and numbers. These possibilities for engaging the child in mathematics were offered by the picture books through their rich environment, but also by the discussions and interactions with the reader/researcher and the additional activities that accompanied the narrative. This finding provides evidence for the important role of the reader in evoking the child’s mathematical thinking. For example, in our study more specific questions were asked to the child by the reader to trigger her mathematical thinking in the pages of the picture books in which mathematical content is not explicit. This occurred to a larger extent with Book 2 in which mathematical concepts are incidental and unintentional. Based on our findings, this variation in how the reader used the picture books during reading seemed to be effective, but additional research is needed to provide further insight into this issue.
Finally, based on our findings the pictures of both picture books had a crucial role in stimulating the child’s mathematical thinking, since most of the child’s mathematical utterances were focused on the pictures of the books irrespectively of the way the picture books were used (e.g., dialogic reading or accompanying mathematical activities related to the book).

References
Carle, E. (2017). Μια κάμπια πολύ πεινασμένη [The very hungry caterpillar]. Kalidoskopio.
Cooper, S., Rogers, R. M., Purdum-Cassidy, B., & Nesmith, S. M. (2020).  Selecting quality picture books for mathematics instruction: What do preservice teachers look for? Children’s Literature in Education, 51(1), 110-124.
Dunphy, L. (2020).  A picture book pedagogy for early childhood mathematics education.  In A. MacDonald, L. Danaia, & S. Murphy (Eds.), STEM Education across the learning continuum (pp. 67-85).  Singapore: Springer.
Elia, I., Baccaglini-Frank, A., Levenson, E., Matsuo, N., Feza, N., & Lisarelli, G. (2023). Early childhood mathematics education research: Overview of latest developments and looking ahead. Annales de Didactique et de Sciences Cognitives, 28, 75-129.
Kagan, S. L., & Roth, J. L. (2017). Transforming early childhood systems for future generations: Obligations and opportunities. International Journal of Early Childhood, 49, 137-154.
Kümmerling-Meibauer, B., Meibauer, J., Nachatigäller, K., & Rohlfing, J. K. (2015).  Understanding learning from picturebooks.  In B. Kümmerling-Meibauer, J. Meibauer, K. Nachatigäller, & J. K. Rohlfing (Eds.), Learning from Picturebooks: Perspectives from child development and literacy studies (pp. 1-10).  New York: Routledge.
Marston, J. (2014). Identifying and Using Picture Books with Quality Mathematical Content: Moving beyond" Counting on Frank" and" The Very Hungry Caterpillar". Australian Primary Mathematics Classroom, 19(1), 14-23.
Op ‘t Eynde, E., Depaepe, F., Verschaffel, L., & Torbeyns, J. (2023). Shared picture book reading in early mathematics: A systematic literature review. Journal für Mathematik-Didaktik, 44(2), 505-531.
Stephens, H. (2014). Πώς να κρύψεις ένα λιοντάρι από τη γιαγιά [How to hide a lion from grandma]. Athens: Ikaros.
Van den Heuvel-Panhuizen, M., & Elia, I. (2012).  Developing a framework for the evaluation of picturebooks that support kindergartners’ learning of mathematics.  Research in Mathematics Education, 14(1), 17-47.
Van den Heuvel-Panhuizen, M., & Elia, I. (2013).  The role of picture books in young children’s mathematical learning.  In L. English & J. Mulligan (Eds.), Advances in Mathematics Education: Reconceptualizing Early Mathematics Learning (pp. 227-252).  New York: Springer.
Van den Heuvel-Panhuizen, M., Elia, I., & Robitzsch, A. (2016).  Effects of reading picture books on kindergartners’ mathematics performance.  Educational Psychology, 36(2), 323-346.
Van den Heuvel-Panhuizen, M., van den Boogaard, S., & Doig, B. (2009).  Picture books stimulate the learning of mathematics.  Australian Journal of Early childhood, 34(3), 30-39.
Watts, T. W., Duncan, G. J., Siegler, R. S., & Davis-Kean, P. E. (2014). What’s past is prologue: Relations between early mathematics knowledge and high school achievement. Educational Researcher, 43(7), 352-360.


24. Mathematics Education Research
Paper

Primary School Students and Prospective Teachers' Perspective Drawing Abilities in Geometry

Elif Tuğçe Karaca

KIRIKKALE UNIVERSITY, Turkiye

Presenting Author: Karaca, Elif Tuğçe

In primary education, geometrical drawing abilities hold pivotal importance. The ability to visually represent geometric shapes is a foundational skill that not only introduces students to the world of mathematics but also serves as a precursor to advanced spatial reasoning capabilities (Clements & Battista, 1992). This research aims to assess primary school students' geometrical drawing abilities comprehensively. By employing paper-pencil tests utilizing grid and isometric paper, the objective is to gauge the student's proficiency in visually representing two- and three-dimensional geometric shapes. This endeavor seeks to understand primary school students' current geometrical drawing skills.
The second objective involves an evaluation of the geometrical drawing abilities of pre-service primary school teachers. Through similar paper-pencil tests, the aim is to gauge the aptitude of prospective teachers to represent geometric shapes in various dimensions. This assessment is crucial for identifying potential areas of improvement in teacher training programs to ensure that future educators are equipped to impart geometric concepts effectively. The third objective
involves a comparative analysis of primary school students and pre-service teachers' performance in two- and three-dimensional geometric drawing tasks. By discerning potential differences in their abilities, this research seeks
to contribute valuable insights into the relationship between educational background and geometrical drawing proficiency. For these purposes, the three research questions are as follows: (a) What are the geometrical drawing abilities of primary school students? (b) What are the geometrical drawings? What are the abilities of pre-service primary school teachers? (c) What are the similarities and differences in drawing abilities for 4th graders and prospective teachers?


Methodology, Methods, Research Instruments or Sources Used
The participants will consist of primary school students in 4th grade from a public school and pre-service primary school teachers from a primary school teacher education program in Kırıkkale province in Türkiye. The data will be collected in the 2024 spring semester by the researcher. The data will be analyzed qualitatively.
Paper-pencil tests will be designed for primary school students and pre-service teachers to assess geometrical drawing abilities. Grid paper and isometric paper will be utilized to facilitate the representation of two- and three-dimensional geometric shapes, respectively. The tests will encompass a range of shapes, including squares, rectangles, cubes, and prisms, ensuring a comprehensive evaluation of participants' abilities. Scoring rubrics will be developed to measure accuracy, precision, and creativity in geometric representation, providing a multifaceted assessment of geometrical drawing proficiency.

Conclusions, Expected Outcomes or Findings
The data will be collected in the 2024 spring semester, and the findings will be reported according to the data. Understanding the participant's proficiency levels and identifying the strengths and weaknesses in their abilities are the expected outcomes of this research.
References
Clements, D. H., & Battista, M. T. (1992). Geometry and spatial reasoning. Handbook of research on mathematics teaching and learning, 420, 464
 
Date: Friday, 30/Aug/2024
9:30 - 11:0024 SES 14 A: Diverse Approaches to Mathematics Education
Location: Room LRC 019 in Library (Learning Resource Center "Stelios Ioannou" [LRC]) [Ground Floor]
Session Chair: Julien-Pooya Weihs
Paper Session
 
24. Mathematics Education Research
Paper

Development of Students ' Research Skills through Small Mathematical Research Activities

Nurziya Uspanova, Gulzina Nagibova

Nazarbayev Intellectual School, Uralsk, Kazakhstan

Presenting Author: Uspanova, Nurziya; Nagibova, Gulzina

Formation of a model of an inquisitive, intelligent, thoughtful, sociable, consistent, fair, caring, risky, harmonious, reflective student through the organization of research work in mathematics lessons. To show students the importance of organizing research work in mathematics lessons in educating a person with comprehensively developed high moral values, who is ready to apply the acquired knowledge in the process of continuing education in unfamiliar situations.
The article discusses how students can develop their research skills through small research activities. The work of various scientists is analyzed, the results of jointly planned classes on the development of students ' motivation for learning and research skills are analyzed. In the course of organizing research work in action, effective points of joint planning of teachers were identified and outlined. As a result of the study, it was found that the compilation of problems related to real life in a practical direction develops the ability of thinking to synthesize, analyze.

Conducting meaningful research work in mathematics lessons is the basis for developing students ' deeper understanding of the subject and the ability to apply it in real life. The fact that students learn, Act and reflect in a repeated cycle can lead them from academic knowledge to practical insight and the development of its positive attitude to learning, as well as personal and social responsibility.

The purpose of the study: to study the logical abilities of students through a problematic learning approach

to increase interest in their work, to teach students to work consciously on themselves, as well as to achieve solid knowledge, high learning outcomes through this method of teaching.
Research objectives:
Definition of the theoretical, basis of problem-based learning in the scientific and methodological literature;
- Consider ways to solve problems in the development of students ' thinking;
- Pedagogical and psychological description of the level of development of students;
Scientific forecast of the study: if the organized work is organized systematically, purposefully, it will be possible to develop students ' thinking through problem-based learning approaches.

A mathematical study is a long-term, open-ended study consisting of a set of questions, the answers of which are interconnected and mutually contribute to obtaining a solution. The problems are open-ended, unfinished, because students always come up with new questions based on their observations. Additional characteristics of student research include the following:
Students use the same methods used in mathematical research. They work through data acquisition, visualization, abstractions, and proof cycles.
Students communicate with each other through mathematical language: they describe their thoughts, write their judgments and predictions, use symbols, prove their conclusions, and study mathematics.
If the study consists of class or group work, then students become a community of mathematicians, exchanging experience and complementing each other with questions, assumptions, theorems.

Influence of mathematical research work on the subject
The student has a high memory and ability to concentrate, develops the ability to quickly complete a task in unfamiliar situations, and develops the skills of logical thinking, effective use of information.
It is clearly seen that the student is more motivated in the learning process, the ability to identify and find an effective solution to the problem is improved, and he gets pleasure in solving it.
The student has a high ability to think creatively, is able to identify complex patterns using mathematical approaches, such as mathematical language, developed creative thinking, and the ability to visualize tasks in space.
Every research work shows that students can think critically, analyze and present something new, new ideas with energy, whether on their own or in a group. When we find mathematical patterns, we feel that real pleasure is experienced through emotion.


Methodology, Methods, Research Instruments or Sources Used
According to the statement of Artemenkova in the article "the role of a differentiated approach in the development of personality", "learning must somehow coincide with the level of development of the child – this is a well-established and repeatedly verified fact that cannot be empirically disputed." on the basis of this opinion, when analyzing with colleagues, we realized that the need to create conditions for learning and development depends on how students perceive information (audial, visual, kinesthetic). According to the work of Lebedeva, in addition to education, it is the acquisition by students of the skills of conducting research activities as a universal way of mastering the world around them. The General task is to find an answer to the question through interaction, cultural information between students, the result of which should be the formation of the worldview of students and the formation of a research position.
Based on the foregoing, we aimed to improve the skills of critical thinking, interpretation, research, choosing methods of active teaching and learning that cover the entire class. We organized the work by dividing it into small groups to increase the motivation of students to learn, taking into account the needs of all students. As a result of the Gardner test obtained from students, we were convinced of the need to divide them into groups according to the level of perception of information.
In accordance with the evaluation criteria, practical research work and tasks related to real life based on the jigsaw method not only develop students ' research skills, critical thinking skills, but are important for achieving the purpose of the lesson and evaluation criteria.
When summarizing the practical work, students were able to compare the data obtained with reference values. To explain to them the reasons for the difference between these data from each other, they compiled a list of evidence, and also analyzed what changes in the technique and equipment of the experiment allowed to obtain a more accurate result.
The use of assessment strategies developed students ' skills of preparation for work, skills of working with information, skills of induction (generalization), skills of deduction (transfer), skills of substantiating their point of view, skills of decision-making, the ability to see the benefits of communication in accordance with educational achievements.

Conclusions, Expected Outcomes or Findings
In summarised,  mathematical research the student engages in more mathematics, he improves his confidence in the form of mathematical contemplation and enthusiasm. Creativity, risk, decision-making, surprises, and achievements that are part of the study help students answer questions about the meaning of learning mathematics. They learn new techniques to be able to answer their questions.
Scientific practice requires the repeated use of technical skills in the process of searching for templates and testing assumptions. In the context of incentives and important issues, it is this repetition trend that leads to a deeper understanding and maintenance of mathematical skills. In the course of the research work, students create a close relationship between the retention of further acquired knowledge and the ideas that increase it.
The student will determine which side of the problem he will study and develop his mathematical vision through the skill of making a choice.
In the study of students, written mathematics and problem solving occupy a leading place.
It fosters the student's unwavering perseverance in achieving the goal and tolerance for perfection, as it is strengthened that they reach their goal by encouraging, encouraging and giving them the opportunity to think again in a few days or weeks.
In conclusion, the implementation of research work related to real life in a practical direction develops the ability of students to synthesize, analyze their thinking. This section led to an increase in the research abilities of students with a high concentration of attention.
We hope that the organization of research work will be very effective not only for the student, but also for the teacher to master the discipline and find a great application in the future.
We are ready to bring up the modern generation and realize the coming changes in education.

References
1. Meier and Rishel (1998). Writing in the Teaching and Learning of Mathematics.
2. Sterrett (1990). Using Writing to Teach Mathematics.
3. Barkley E. F., Cross K. P., and Major C.H. (2005).Collaborative Learning Techniques.San Francisco, CA: Jossey-Bass.
4. Artemenkova I.V. (2004). The role of a differentiated approach in personality development. The known about the known.
5. Talyzina N.F. (2020). Development of research skills among students. Yekaterinburg.
6. Lebedeva O.V. (2019). Preparation of a physics teacher for the design and organization of educational and research activities of students.
7. Obukhov A.S. (2015). Development of students' research activities. 2nd edition. Moscow..
8. Bryzgalova S.I. (2003). Introduction to scientific and pedagogical research.


24. Mathematics Education Research
Paper

Math Choice as a Key for Finnish Academic Upper Secondary Students' Study Choices, School Performance, Later Educational Choices, and Well-Being

Sirkku Kupiainen, Risto Hotulainen

University of Helsinki, Finland

Presenting Author: Kupiainen, Sirkku

The gendered choice and role of mathematics in pre-tertiary education is maybe one of the most pertinent research topics in education literature (e.g., Ellison & Swanson, 2023; Else-Quest et al., 2010; Uerz et al, 2004; Van der Werfhorst et al., 2003). While Finnish girls outperform boys in mathematics in the comprehensive school, it seems that once they have a possibility to make educational choices after the comprehensive school, the interplay of the internal versus external frame of reference for academic self-concept (Marsh & Shavelson, 1985) sets in motion and leads girls away from math (see also Marsh, 1990; Marsh et al., 2015). In Finland, this has been reported in students’ choice both between the two tracks of the Finnish dual model of upper secondary education (academic vs. vocational), among the different vocational programs, and within the relatively open syllabus of academic upper secondary education (Kupiainen & Hotulainen, 2019). In the current presentation, we set to explore the interplay of students’ gender and math choice in the academic upper secondary education, and its relation to students’ later educational choices.

In the dual model of Finnish upper secondary education (academic and vocational tracks, 56 % vs. 44 % of the age cohort, respectively), ninth grade students have a right to choose among all programs across the country but entrance to academic track schools is based on students’ ninth grade GPA (grade point average). Reflecting girls’ better achievement, they form a majority among academic track students (56 %). Yet, reflecting a longstanding gender-imbalance in students’ attitude toward mathematics and despite Finnish girls outperforming boys in the OECD PISA study (e.g., Hiltunen et al., 2023) and their better grades in math in the comprehensive school (Kupiainen & Hotulainen, 2022, p. 140), there is a clear gender difference in students’ choice between the Basic and Advanced syllabi in mathematics at the upper secondary level after the comprehensive school where all students follow the same syllabus for all subjects (Kupiainen et al., 2018).

The context of the presentation is a recent study of the impact of the Finnish higher education student selection reform of 2018 on academic upper secondary students’ study choices and wellbeing. Despite the long tradition of the Finnish matriculation examination with separate exams for each subject, Finnish tertiary education student admission has traditionally relied on a combination of field-specific entrance examinations and matriculation examination results. In 2018, a reform decreed that half of students in all fields of study shall be accepted based solely on their matriculation examination results and the other half solely on an entrance examination. The main goal of the reform was to speed Finnish students’ slow transit from secondary to tertiary education as due to a backlog of older matriculates vying for a place, two thirds of new matriculates have been yearly left without a place in higher education. The reform was backed by research on the drawbacks of the earlier entrance examination-based student selection (Pekkarinen & Sarvimäki, 2016) and tied the credit awarded for each subject-specific exam to the number of courses covered by the exam. The reform raised vocal criticism, mainly for Advanced Mathematics bringing most credit with its biggest course-load even in fields where it might appear of less value. Yet, the only earlier study on students’ relative success in the matriculation examination showed that on average, students of Advanced Mathematics fared in all exams they included in their examination (average 5,6 exams) better than students sitting for the exam in Basic Mathematics or with no mathematics exam, also allowed in the Finnish system (Kupiainen et al. 2018).


Methodology, Methods, Research Instruments or Sources Used
We set for the presentation two research questions:
RQ1 How do students who choose Advanced Mathematics differ from students who choose Basic Mathematics? Dimensions to be explored will be a) gender, b) previous school achievement, c) current school achievement, d) choice of and investment in other subjects, d) plans for future education, e) motivational profile, and f) wellbeing/burnout?
RQ2 How has the altered importance of matriculation examination results in higher education student admission affected upper secondary students’ choice of the subject-specific exams they choose for their matriculation examination, and how do students sitting for the Advanced vs. Basic Math exam (or not sitting for either) differ in their overall matriculation examination success?
The data for the present study come from a wider research project regarding the impact of the higher education student admission reform of 2018, comprising register data for the 204,760 matriculates of 2016–2022, and survey and register data on the 4,620 first, second and third-year upper secondary students who participated in the study in autumn 2022. In the current presentation, we use the matriculation data to investigate the impact of the reform on students’ choices of the exams they include in their matriculation examination, using gender, math choice and overall success as the main references for group comparisons. The survey data and the related register data on the participating students’ study achievement (9th grade GPA and their grades for the study courses passed before the cut point of October 2022) will allow a closer exploration of the way students’ choice between Basic and Advanced Mathematics is related to their interest and commitment to studies in the other subjects, their motivation (goal orientation and agency beliefs), and their wellbeing or lack of it (burn-out). Reflecting the research questions, we will mainly rely on descriptive methods with group-level comparisons using MANOVA with a possible use of structural equation modelling for confirmatory factor analysis and mediation studies.

Conclusions, Expected Outcomes or Findings
While 67 percent of boys choose the Advanced syllabus in mathematics, only 54 percent of girls make the same choice. Students’ choice between Basic and Advanced Mathematics, done after the first, common-to-all course on mathematics of the first period (à 7 weeks) of upper secondary studies was the strongest differentiator in almost all topics covered in the study, including not just students' learning and study success but also their well-being (Kupiainen et al. 2023). Students of Advanced Mathematics entered upper secondary education with a significantly higher GPA than students of Basic Math, and the situation remained almost the same in upper secondary school despite students being able to concentrate on subjects of their choice. The differences were statistically highly significant (p ≤ 0.001), with the choice of mathematics explaining 16-21 percent of the variation in students’ academic performance, varying slightly by duration of study (1st, 2nd and 3rd year students). Math choice also emerged as the clearest source for differences in students' future plans. The difference was most evident in students' intention to continue from upper secondary school to university.  
Students of Advanced Math presented stronger mastery orientation than students of Basic Math and they reported less burnout (exhaustion, cynicism, reduced efficiency). The latter result is partially explained by gender difference in burnout but even among girls, students of Basic Math reported more burnout than students of Advanced Math.
The higher education student selection reform seems to have increased students’ readiness to include a math exam in their matriculation examination, with the growth centering on the exam of Advanced Math for boys and on Basic and Advanced math for girls. Despite the increase, students who sat for the Advanced Math exam outperformed other students in all exams, girls among them outperforming boys in all but Math, English, Physics and Chemistry.

References
Ellison, G., & Swanson, A. (2023). Dynamics of the gender gap in high math achievement. Journal of Human Resources, 58(5), 1679-1711.

Else-Quest, N. M., Hyde, J. S., & Linn, M. C. (2010). Cross-national patterns of gender differences in mathematics: a meta-analysis. Psychological bulletin, 136(1), 103.

Kupiainen, S. & Hotulainen R. (2022). Peruskoulun päättäminen ja toisen asteen opintojen aloittaminen. Teoksessa J. Hautamäki & I. Rämä (toim.), Oppimaan oppiminen Helsingissä. Pitkittäistutkimus peruskoulun ensimmäiseltä luokalta toiselle asteelle. Helsingin yliopiston Koulutuksen arviointikeskus HEAn raportit 1/2022, 129–160.
Kupiainen, S., Rämä, I., Heiskala, L., & Hotulainen, R. (2023). Valtioneuvoston selvitys- ja tutkimustoiminnan julkaisusarja 2023:44.
Marsh, H. W. (1990). The structure of academic self-concept: The Marsh/Shavelson model. Journal of Educational psychology, 82(4), 623.

Marsh, H. W., Abduljabbar, A. S., Parker, P. D., Morin, A. J., Abdelfattah, F., Nagengast, B., ... & Abu-Hilal, M. M. (2015). The internal/external frame of reference model of self-concept and achievement relations: Age-cohort and cross-cultural differences. American Educational Research Journal, 52(1), 168-202.

Marsh, H. W., & Shavelson, R. (1985). Self-concept: Its multifaceted, hierarchical structure. Educational psychologist, 20(3), 107-123.

Uerz, D., Dekkers, H. P. J. M., & Béguin, A. A. (2004). Mathematics and language skills and the choice of science subjects in secondary education. Educational Research and Evaluation, 10(2), 163-182.
Van de Werfhorst, H. G., Sullivan, A., & Cheung, S. Y. (2003). Social class, ability and choice of subject in secondary and tertiary education in Britain. British educational research journal, 29(1), 41-62
 

 
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