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99 ERC SES 04 G: Mathematics Education Research
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99. Emerging Researchers' Group (for presentation at Emerging Researchers' Conference)
Paper An Exploration of the Impact of Mathematical Modelling and Culturally Relevant Pedagogy on Students’ motivation in Mathematics Trinity College Dublin, Ireland Presenting Author:Historically, school mathematics has been viewed as a complex and abstract subject with little relevance to daily life (Ernest, 2016). Eccles (1983) found that student negativity towards mathematics increases over time, mirroring a decline in self-belief and motivation. Eccles et al. (1993) subsequently investigated the causes of declining motivation, and found that getting older was not the primary driver; rather the decline was influenced by teachers exhibiting more control over students as they advanced through grades, restricting student decision-making and conveying lower expectations in students’ ability. In their seminal report, Kilpatrick et al. (2001) identified five interconnected components that are necessary to learn mathematics successfully. One of these components is productive disposition, essentially a combination of self-efficacy and perceived usefulness for mathematics (Kilpatrick et al., 2001). Both self-efficacy and seeing that mathematics demonstrates utility (useful for future goals) are considered vital for motivation (Gafoor & Kurukkan, 2015). For this study, Eccles & Wigfield’s (2020) Situated Expectancy-Value Theory will be used as a theoretical framework. The framework indicates primarily that expectancies and values drive future performance. Eccles (1983) found that motivation is boosted when students value the tasks that they are engaging with. Task values are a function of attainment values (Importance of succeeding), intrinsic values (Enjoyment), utility values (help with forthcoming goals) and cost(Eccles & Wigfield, 2020). In their framework, Eccles & Wigfield (2020) indicate that utility value is the most ‘malleable’ of task values. Utility value interventions have shown promise in improving student effort generally (Hulleman et al., 2008), but also specifically within mathematics (Liebendörfer & Schukajlow, 2020). However, despite evidence that utility value interventions positively impact student motivation, many teachers are unaware of its relevance (Hulleman & Barron, 2013). While utility value interventions may improve motivation, what one person might see as useful another may not; it is important to remain cognisant of the fact that utility values are individual, and can be influenced by cultural differences. It is therefore worthwhile considering the potential of culturally responsive teaching as a method of enhancing students’ perceived utility values towards mathematics. Hunter et al. (2016) noted student reactions to culturally relevant interventions, citing comments such as “When the problems are about us you can see that maths is real and it’s useful……not just something random you do at school”. This demonstrates that relating mathematics to familiar contexts can impact utility value. Lowrie (2004) also highlights the benefits of using artefacts to make mathematical tasks more realistic, which may lead to students seeing increased utility value in mathematics. Another approach that has been noted as supporting students to understand the relevance of more abstract mathematical concepts is mathematical modelling (Liebendörfer & Schukajlow, 2020). With mathematical modelling there is no definite answer; students take real-life scenarios, mathematise them, identify variables, make assumptions, generate initial solutions before iteratively reviewing the process (Sahin et al., 2019). By engaging with the process of modelling, students can reflect and generate further examples themselves. Regular Mathematical modelling tasks can enable students to encounter numerous concepts routinely in a variety of contexts, benefitting productive disposition and indeed all five components of mathematical proficiency (Kilpatrick et al., 2001). The goal of this research is to draw together mathematical modelling and culturally responsive teaching in an approach to mathematics teaching that aims increase students’ perceived utility values, productive disposition and motivation, ultimately contributing to successful learning of mathematics. The overarching research question is: What impact does incorporating culturally relevant mathematical modelling tasks have on students’ utility value for mathematics? Methodology, Methods, Research Instruments or Sources Used The research will be conducted via a mixed-methods case study, using Situated Expectancy-Value as a theoretical framework. The intervention will be conducted over the course of two academic years, with students and teachers from a single school. Quantitative data in relation to utility values of students - will be generated by way of a questionnaire administered at various points throughout the research. Qualitative data from both teachers and students via focus group discussions and exit tickets throughout will be collected. The sample of students will be age ~12-13 at the beginning of the intervention (ISCED 2) and three of their teachers. The choice of conducting this intervention with this age group (first year, lower secondary in Ireland) is due to the recent addition of mathematical modelling to the Irish curriculum for this cohort ("Junior Cycle Mathematics," 2024). In addition to teaching students, training for teachers will be provided, where eventually they will be facilitating mathematical modelling lessons. If successful, the intervention will be expanded to more schools. In terms of professional development for teachers, the principles of ‘Experiential Learning Design’ will be followed. Participants will have opportunities to teach in the manner that the training has suggested. They can then reflect on the teaching and learning of students, abstract their reflections and embed this into their practice going forward. This form of professional development is participant-centred and, while quite intensive, it has been shown to be very beneficial for participants (Girvan et al., 2016). Research Questions: 1. Does incorporating culturally relevant artefacts into task designing mathematical modelling tasks increase student utility value for mathematics? 2. Does engaging with mathematical modelling tasks increase student’s conceptual understanding of abstract mathematical concepts? 3. Does incorporating culturally relevant artefacts into task designing mathematical modelling tasks increase student performance in Mathematical Investigation assessment (2nd year Classroom Based Assessment in Ireland, (ISCED 2)) Data 1. Quantitative data from student surveys. 2. Students will complete reflective exit tickets following lessons. 3. Focus group discussions will be conducted with both teachers and students. They will allow for capturing of real-life complexities that quantitative data may not (Zainal, 2007). Focus group discussions topics will include task values, expectations, attributions of past performance and self-concept of ability (Eccles & Wigfield, 2020). 4. A thorough analysis will then be compiled of both qualitative feedback from students and teachers and quantitative data from student utility values and in-class assessments. Conclusions, Expected Outcomes or Findings Ultimately, the goal is for students to be successful. Motivation is strongly correlated with future success (Amrai et al., 2011), however, research has shown that motivation, tends to decline as students get older ((Parsons), 1983). Many factors contribute to this decline, but one that has been noted by some authors is the lack of perceived relevance of the subject. However, it is hoped that by situating the mathematics in situations that are relevant to the students, it may be possible to slow, or even halt, this decline (Eccles et al., 1993). The Situated Expectancy-Value theory provides a useful framework through which to explore the effect of the kinds of teaching and learning promoted by this study. Students may identify increased cultural relevance in their mathematics due to culturally relevant artefacts being the basis for mathematical modelling tasks thereby increasing utility value. In sum, this research aims to investigate whether incorporating culturally relevant mathematical modelling tasks leads to increased utility values as outlined in Eccles & Wigfield (2020) and improved academic performance for students. References (Parsons), J. E. (1983). Expectancies, Values and Academic Behaviours. In J. T. Spence, Achievement and Achievement Motives (pp. 75-146). San Francisco: W.H. Freeman and Company. Amrai, K., Motlagh, S. E., & Parhon, H. A. (2011). The relationship between academic motivation and academic achievement students. Procedia Social and Behavioural Sciences, 399-402. An Roinn Oidicheas agus Scileanna. (2024, January 31). Junior Cycle Mathematics. Retrieved from curriculumonline.ie: https://www.curriculumonline.ie/Junior-cycle/Junior-Cycle-Subjects/Mathematics/ Eccles, J. S., & Wigfield, A. (2020). From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation. Contemporary Educational Psychology, 1-13. Eccles, J. S., Wigfield, A., Midgley, C., Reuman, D., MacIver, D., & Feldlaufer, H. (1993). Negative Effects of Traditional Middle Schools on Students' Motivation. The Elementary School Journal, 554-574. Ernest, P. (2016). The Collatoral Damage of Learning Mathematics. Philosophy of Mathematics Education Journal, 13-55. Gafoor, K. A., & Kurukkan, A. (2015, August 18). Why High School Students Feel Mathematics Difficult? An Exploration of Affective Beliefs. Retrieved from https://files.eric.ed.gov: https://files.eric.ed.gov/fulltext/ED560266.pdf Girvan, C., Conneely, C., & Tangney, B. (2016). Extending experiential learning in teacher professional development. Teaching and Teacher Education, 129-139. Hulleman, C. S., & Barron, K. E. (2013, May 1). Teacher Perceptions of Student Motivational Challenges and Best Strategies to Enhance Motivation. Charlotsville, Virginia, United States of America: American Educational Research Association. Hulleman, C. S., Durik, A. M., Schweigert, S. A., & Harackiewicz, J. M. (2008). Task Values, Achievement Goals, and Interest: An Integrative Analysis. Journal of Educational Psychology, 398-416. Hunter, J., Hunter, •. R., Bills, T., Cheung, I., Hannant, B., Kritesh, K., & Lachaiya, R. (2016). Developing Equity for Pa¯sifika Learners Within a New Zealand Context: Attending to Culture and Values. NZ J Educ Stud, 197-209. Kilpatrick, J., Swafford, J., & Findell, B. (2001). Adding it Up; Helping Children Learn Mathematics Successfully. Washington D.C.: National Academy Press. Liebendörfer, M., & Schukajlow, S. (2020). Quality matters: how reflecting on the utility valu of mathematics affects future teachers' interest. Educational Studies in Mathematics, 199-218. Lowrie, T. (2004). Making mathematics meaningful, realistic and personalised: Changing the direction of relevance and applicability. Towards Excellence in Mathematics (p. 10pp). Brunswick, Australia: The Mathematics Association of Victoria. Sahin, S., Dogan, M., Cavus Erdem, Z., Gurbuz, R., & Temurtas, A. (2019). Prospective Teachers’ Criteria for Evaluating Mathematical Modeling Problems. International Journal of Research in Education and Science, 730-743. Zainal, Z. (2007). Case study as a research method. Jurnal Kemanusiaan, 1-6. 99. Emerging Researchers' Group (for presentation at Emerging Researchers' Conference)
Paper Model of Coping Strategies for Primary School Students' Mathematical Problem-Solving Difficulties Kaunas University of Tech, Lithuania Presenting Author:Educational assessment studies show that students have difficulties in mathematics, particularly in problem solving. This could be a difficulty in at least one of the four phases (Polya, 1945), namely: understanding the problem, making a plan, carrying out the plan, and looking back. Other studies have also examined the different ways in which students cope with such difficulties. Problem solving is a fundamental skill, both now and in the future. Researchers have long been concerned with its development, and its relevance remains undiminished. The academic study of problem solving emerged in the second half of the 20th century. In the 1970s and 1980s, it focused primarily on elucidating the nature of mathematical problems, students' approaches to solving them, and the salient aspects of problem solving that warrant investigation (Schoenfeld, 1985). More recently, scholarly attention has shifted to educators' perspectives on problem solving and strategies for its improvement (Boaler, 2002; Schoenfeld, 2010, 2014; Stein et al., 2008). In this study, we have investigated the multifaceted domain of problem solving, with a particular focus on the strategies employed in solving mathematical word problems. Van der Schoot et al. (2009) investigated the factors that differentiate successful and less successful problem solvers in their approach to word problems, highlighting in particular the impact of consistency and markedness. Recognised as a fundamental tool for assessing students' practical application of mathematical knowledge, mathematical word problems are often presented in text form rather than using purely mathematical symbols (Daroczy et al., 2015). In solving these problems, as highlighted by Verschaffel et al. (2000), the solver is required to use mathematical operations on known or inferred numerical values from the problem statement to arrive at a solution. This process, according to Kang et al. (2023), can serve as an indicator of the problem solver's abstract reasoning ability. Recently, the scholarly focus has shifted to exploring educators' perspectives on problem solving and coping strategies to improve it (Boaler, 2002; Schoenfeld, 2010, 2014; Stein et al., 2008). Significantly, not every mathematical word problem is sufficiently challenging for students, highlighting the need for exposure to truly complex tasks that promote mathematical sense making (Marcus & Fey, 2003; NCTM, 1991; van de Walle, 2003). Word problems are a particularly difficult type of problem for mathematics students (Verschaffel et al., 2020). Jacobson (2023) defines dyscalculia as a term for specific learning disabilities that affect a child's ability to do arithmetic and number. The estimated prevalence is 5-7% in primary school children. Mathematics covers a wide range of areas: arithmetic, problem solving, geometry, algebra, probability and statistics. Solving mathematical problems requires students to mobilise a range of skills related to number sense, symbol decoding, memory, visuospatial skills, logic, etc., and may lead to difficulties in any one or a combination of these skills (Karagiannakis et al., 2014). Even if these students have not been diagnosed with a mathematical disorder, they need systematic support to learn mathematics because, according to a study by Nelson and Powel (2017), they are likely to continue to experience mathematical difficulties in the future. This paper aims to construct a model for overcoming mathematics learning difficulties by taking into account the congruent abilities required for problem solving, based on Feuerstein's (2015) mediated learning method and Karagiannakis et al.'s (2014) mathematics learning difficulties. Methodology, Methods, Research Instruments or Sources Used The Scopus and Web of Science databases were used for the study because of their reputation for providing reliable and comprehensive data, ease of data extraction, and extensive coverage of relevant articles. After automated data screening in both databases, the selected articles were catalogued in Research Information Systems (RIS) format to ensure the compilation of a scientifically rigorous body of evidence. All identified articles were then imported into Zotero. This meticulous curation process was facilitated by assigning codes to the articles and applying exclusion criteria within the Zotero platform. The selected articles were integrated into the MAXQDA program, and the data were coded using an inductive approach. Inductive reasoning, as postulated by Leavy (2017), is often used in qualitative research, where the primary aim is to uncover entirely new and unexplored data, thus promoting the generation of new knowledge rather than reinforcing existing theoretical frameworks. The qualitative codes derived from the data were then analysed within the interpretive paradigm, in line with the principles elucidated by Leavy (2017). Conclusions, Expected Outcomes or Findings This work is expected to result in a theoretical model that reflects the level of flexibility needed to overcome students' learning difficulties and the potential for teachers to apply this model in schools to improve students' use of problem-solving strategies. References 1.Boaler, J. (2002). Experiencing school mathematics. In Routledge eBooks. https://doi.org/10.4324/9781410606365 2.Feuerstein, R., Falik, L., & Feuerstein, R. S. (2015). Changing Minds and Brains—The Legacy of Reuven Feuerstein: Higher Thinking and Cognition Through Mediated Learning. Teachers College Press. 3.Karagiannakis, G., Baccaglini-Frank, A., & Papadatos, Y. (2014). Mathematical learning difficulties subtypes classification. Frontiers in Human Neuroscience, 8. https://doi.org/10.3389/fnhum.2014.00057 4.Leavy, P. (2017). Research design: Quantitative, Qualitative, Mixed Methods, Arts-Based, and Community-Based Participatory Research Approaches. Guilford Publications. 5.Schoenfeld, A. H. (2010). How we think. In Routledge eBooks. https://doi.org/10.4324/9780203843000 6.Schoenfeld, A. H. (2014a). Mathematical problem solving. Elsevier. 7.Stein, M. K., Engle, R. A., Smith, M. S., & Hughes, E. K. (2008). Orchestrating Productive Mathematical Discussions: Five practices for helping teachers move beyond show and tell. Mathematical Thinking and Learning, 10(4), 313–340. https://doi.org/10.1080/10986060802229675 8.Van Der Schoot, M., Arkema, A. H. B., Horsley, T., & Van Lieshout, E. (2009). The consistency effect depends on markedness in less successful but not successful problem solvers: An eye movement study in primary school children. Contemporary Educational Psychology, 34(1), 58–66. https://doi.org/10.1016/j.cedpsych.2008.07.002 99. Emerging Researchers' Group (for presentation at Emerging Researchers' Conference)
Paper How to Develop Skills and Motivation to Learn Mathematics? Federacja Akademii Wojskowych, Poland Presenting Author:How to develop skills and motivation to learn mathematics? I speak from the perspective of Polish experiences in developing maths education. I refer to transmissive teaching in accordance with the curriculum culture. I do this with hope this might be interesting for an international audience as the beyond Polish specificity this case pertains to a more universal validity. The results my research show the importance of individualization of teaching and the role of building a sense of self-competence and mathematical self-confidence. At school, mathematics education is often based only on providing students with knowledge and implementing the core curriculum. According to Małgorzata Żytko (2013), the National Survey of Third-Grade Skills [Ogólnopolskie Badanie Umiejętności Trzecioklasistów, OBUT] suggested that the main aim of education is the implementation of the core curriculum, not the development of children and meeting their individual educational needs. Anna Brzezińska (1986) similarly stated that the teaching and communication style in the teaching-learning process should be "child-oriented" and not "core curriculum-oriented". She said that you should talk to the child and organize situations in which the student actively participates, investigates and tries to solve problems on his own. In turn, Edyta Gruszczyk-Kolczyńska (2011) proved that primary school reduces mathematical abilities. She showed that more than 50% preschoolers have mathematical abilities such as ease of learning mathematics, great cognitive curiosity, creativity, accuracy and independence in solving mathematical tasks. In the group of first-graders, only 12,5% students has outstanding talents. Gruszczyk-Kolczyńska noticed that after eight months of school, children are less creative, less courageous and have a lower sense of meaning in learning than in kindergarten. Therefore, the priority of my research was to focus on the developing the skills and motivation to learn mathematics of students with different levels of competence and meeting individual educational needs of each student. The basic questions that guided the research were: how to work on individualised strategies of teaching mathematics being a schoolteacher, so that each student makes progress in learning mathematics? What is the importance of strengthening a child's self-confidence and motivation in learning mathematics? What teaching methods and forms of work will be best for each student? I did the research among eight-grade primary school students. There were 21 students in this group. The research lasted from September 2022 to February 2023. The study group were students from Ukraine, students with dyslexia, selective auditory processing disorders and hyperactivity. I created an original program. It considered the individualization of teaching mathematics. I used a scaffolding strategy and various methods and forms of work (e.g. tutoring, project method, problem-based learning, using tasks with different levels of difficulty) and adapted the subject matter to the cognitive capacity of each student. Methodology, Methods, Research Instruments or Sources Used In my study, I used both qualitative (action research) and quantitative (survey) methods of collecting data for triangulation. I considered that this methods would complement each other and thus provide a comprehensive answer to the research questions. I wanted to triangulate diagnostic data from the survey with the quantitative data gathered during action research. The former allowed to obtain a lot of information of interest about the each student in a short period of time. I used survey to identify the specific mathematical areas where students have the most problems. I learned about both mathematical skills and approach to learning and learning-related problems, as well as individual differences of students (e.g. learning style, gender, emotional intelligence). While action research allowed the teacher to contribute to educational and didactic changes and benefit all participants involved. The analysis of the data collected has made it possible to specify areas for further action research. Based on the survey, I developed specific teaching strategies to help develop each pupil's mathematical skills. I created the original program and used various methods and forms of work and adapted the subject matter to the cognitive capacity of each student. The combination of diagnostic surveys and action research allowed for an individual approach to developing learning abilities in mathematics, taking into account the needs of each student. I used techniques such as a questionnaire, interview, document analysis and participant observation. Conclusions, Expected Outcomes or Findings The research results confirmed the effectiveness of individualizing teaching and students' motivation, as well as strengthening the child's faith in their own abilities. The best methods of motivating students to learn mathematics were: using tasks with different levels of difficulty playing "hook for the teacher", tutoring and problem-based learning. The research showed qualitative and quantitative progress in the work of most eighth-graders. Students improved their results on the eighth-grade trial exam in December compared to the September national diagnostic test. The January nationwide project „Sesja z plusem” [Session with Plus] also saw improvement. The average result in this class is 51% and is 13 percentage points higher than the average nationwide result. It's worth asking yourself: if the majority of students in this class made progress in their mathematics learning skills within a few months, then what progress would there be if the teacher used such methods in the earlier years of primary school? Would the school then reduce students' mathematics abilities, as proved by Gruszczyk-Kolczyńska? I agree with Małgorzata Żytko (2013) that the main aim of teaching should not only be the implementation of the core curriculum, but primarily focusing on the development of each child's mathematics learning skills. I believe that if this is our priority in mathematics education, students' results on national tests will also be satisfactory. References Bruner, J.S. (1974). W poszukiwaniu teorii nauczania. Państwowy Instytut Wydawniczy. Warszawa. Brzezińska, A. Styl komunikacji dorosłego z dzieckiem a aktywność twórcza dziecka w sferze języka. Życie Szkoły. 1986, 9. 502-512. Cervinkova, H. Badania w działaniu i zaangażowana antropologia edukacyjna, Teraźniejszość -Człowiek-Edukacja. 2012, 1. 7-18. Czerepaniak-Walczak, M. Badanie w działaniu w kształceniu i doskonaleniu nauczycieli, Przegląd Badań Edukacyjnych. 2014, 2,. p. 185. Chlewiński, Z. (1991). Kształtowanie się umiejętności poznawczych. Identyfikacja pojęć. Państwowe Wydawnictwo Naukowe. Warszawa. p. 11. Creswell, J.W. (2013). Projektowanie badań naukowych. Metody jakościowe, ilościowe i mieszane. Wydawnictwo Uniwersytetu Jagielońskiego. Kraków. Dąbrowski, M. (2007). Pozwólmy dzieciom myśleć. O umiejętnościach matematycznych polskich trzecioklasistów. Centralna Komisja Edukacyjna. Warszawa. p. 95. Filipiak, E. (2008). Rozwijanie zdolności uczenia się, Wydawnictwo Uniwersytetu Kazimierza Wielkiego, Bydgoszcz. Grochowska, L. Metody aktywizujące na lekcjach matematyki i nie tylko…. Gdyński Kwartalnik Oświatowy. 2016, 1. 42-45. Gruszczyk-Kolczyńska, E.Szkoła, rzeźnia talentów, Dziennik Gazeta Prawna, 90, 10.05.2013. Kopaliński W., Słownik języka polskiego i zwrotów obcojęzycznych z almanachem, Klub Świat Książki, Warszawa 2000. Hornowski B., Rozwój inteligencji i uzdolnień specjalnych, Warszawa 1986, p. 48. Mietzel, G. (2002). Psychologia kształcenia. Praktyczny podręcznik dla pedagogów i nauczycieli. Gdańskie Wydawnictwo Psychologiczne. Gdańsk. p. 374. Nowak-Łojewska, A. (red.). (2021). Action research w praktyce. Wydawnictwo Uniwersytetu Gdańskiego. Gdańsk. Nowakowska, M. Uśmiech przy tablicy, Psychologia w szkole, 2013, 3 . 92-93. Piaget, J. P (1970). Science of education and the psychology of the child, Viking Press. New York. p. 151. Pietrasiński, Z. (1975). Zdolności, [w:] T. Tomaszewski (red.), Psychologia. Warszawa. p. 736. Pilch , T., Bauman T. (2001). Zasady badań pedagogicznych. Strategie ilościowe i jakościowe, Wydawnictwo Akademickie „Żak”., Warszawa. Reason P., Bradbury H. (2006). The SAGE Handbook of Action Research. Participative Inquiry and Practice. SAGE Publications. Los Angeles. Teliszewska A. (2012). Jak asertywnie chwalić i krytykować. Psychologia w szkole. 4. p. .42. Wygotski L.S.(1971). Problem nauczania i rozwoju umysłowego w wieku szkolnym, [w]: Wygotski L.S., Wybrane prace psychologiczne. Wydawnictwo Naukowe PWN. Warszawa. p. 542. Zimbardo P.G., Johnos R.L. (2014). McCann V., Psychologia. Kluczowe koncepcje. Motywacja i uczenie się, Wydawnictwo Naukowe PWN. Warszawa. p. 222. Żytko, M. Ogólnopolskie Badanie Umiejętności Trzecioklasistów (OBUT) – pedagogiczny eksperyment z „politycznymi konsekwencjami”. Teraźniejszość – Człowiek – Edukacja. 2013, 4(64), p.101 – 116. www.ls.gwo.pl/raporty-do-pobrania [acces date 30.04.2023]. www.operon.pl [acces date 30.04.2023]. 99. Emerging Researchers' Group (for presentation at Emerging Researchers' Conference)
Paper A glance on Out-of-Field mathematics teaching. Insights from England and New South Wales. The University of Sydney, Australia Presenting Author:The shortage of mathematics teachers has raised several concerns in education systems around the world. One pressing issue involves addressing the vacancies in classrooms, often leading to the emergence of the out-of-field (OOF) teaching phenomenon. This phenomenon entails teaching a subject without a background in the subject or preparation for teaching it. Part of the literature have focused on the impact of teacher qualifications on students’ academic performance. There are studies that reveal disadvantages for students taught by OOF teachers (Porsch & Whannell, 2019). In subjects with cumulative content, such as mathematics, the complexity of which escalates across grade levels, the significance of teachers' qualifications becomes notably pronounced (Hobbs & Törner, 2019). Other strand of literature focus on the consequences for teachers. Challenges in competence and the additional workload associated with OOF teaching are often connected to job dissatisfaction and emotional challenges, including stress, anxiety, and burnout (Buenacosa & Petalla, 2022). Consequently, different policies have emerged to address the issue of OOF mathematics teaching. Focusing on the English former Teacher Subject Specialism Training (TSST) programme and the Australian (NSW) Mathematics Retraining program, this study was guided by the question: how is the phenomenon of OOF mathematics teaching constructed in these two policies? Remembering that policies are designed by people makes us reflect on the assumptions that were made about the phenomenon, and which were left out In 2023, the media has echoed the phenomenon, highlighting that 12% mathematics lessons are taught by someone without a mathematics degree in England, while in Australia 33% of secondary maths teachers were OOF (Carey & Caroll., 2023; Weale, 2023). England and Australia share historical ties, but they also exhibit distinctive educational systems shaped by unique cultural, policy, and contextual factors. This paper shedding light on the nuanced ways each case problematizes and therefore acts upon the same phenomenon. This paper has two objectives. On the one hand, to identify, through the analysis of two international cases, the assumptions regarding the phenomenon of OOF teaching. On the other hand, to compare the representations given to the phenomenon in England and NSW. Traditionally in policy analysis, there has been a conventional belief that policy documents are rational and objective reactions to pre-established and fixed social problems (Bacchi, 2009; Ball, 1993). Therefore, analysts often inquire “what is this policy doing to fix the identified problem?” (Bacchi, 2009). Bacchi argues that these texts, by outlining necessary changes, incorporate implicit representations of the issue or problem they intend to address. Moreover, she contends that such policy documents may inadvertently contribute to defining and spreading the very issues they seek to solve. Methodology, Methods, Research Instruments or Sources Used The WPR methodology is based on three fundamental assumptions. First, it recognises policy-as-discourse, encompassing assumptions, presumptions, values, and subjectivities. Second, it examines problematizations by analysing how the problem is represented, focusing on the importance of studying the articulation of 'problems'. Third, the WPR underscores the necessity of scrutinizing these problematizations, emphasizing the evaluation of their underlying assumptions and their consequences (Bacchi 2009, xxi). In a way, one of the advantages of the WPR approach is its simplicity. Bacchi offers a structure that allows for an orderly and transparent analysis. Six questions were posed to address the policy. •Question 1: What are the problems represented in policies that directly address the OOF teaching? •Question 2: What deep-seated presuppositions or assumptions underlie this representation of the ‘problem’? •Question 3: How has this representation of the ‘problem’ come about? •Question 4: What remains unproblematic in this problem representation? Where are the silences? Can the ‘problem’ be conceptualized differently? •Question 5: What effects are produced by this representation of the ‘problem’? •Question 6: How and where has this representation of the ‘problem’ been produced, disseminated, and defended? How has it been and how can it be disrupted and replaced? These questions guide analysts and require breaking away from traditional (solution-focused) approaches, unravelling the root of the policy and the birth of the particular problem to be addressed. The WPR appeals to look at the policy not only in the official text (not publicly accessible in most cases), but also in the discourses, constructions that can stem from it. Thus, for this paper, policy can be defined as official public documents that articulate structured statements and directives, representing efforts to address the OOF phenomenon. Therefore, the official public documents used for this study are: • Teacher subject specialism training (TSST): programme details • Teacher subject specialism training (TSST): course directory • Blog. Teaching: Taking on a new challenge - making the move from PE to maths • Mathematics Retraining Program- General Information • Mathematics Retraining Programme – frequently asked questions • Mathematics Retraining Programme - Participant Information Session • Mathematics Retraining/Mentoring Programme Drop-in Session • Mathematics Retraining programme and Mentoring Programmes Conclusions, Expected Outcomes or Findings The primary problem representation identified is the lack of subject-specific expertise among teachers which these policies aim to address through professional development and retraining programs. This methodology underscores a belief in enhancing teacher qualifications as a strategy for improving quality teaching and addresses the immediate need for subject-specific skills in secondary schools. There is an implicit suggestion that the primary solution to OOF teaching lies in individual teacher improvement, rather than systemic changes or broader support mechanisms. The effects of these problem representations are multifaceted. On the one hand, they lead to initiatives that directly enhance teacher competencies and may improve classroom teaching quality. On the other hand, they may inadvertently place additional pressures on teachers, requiring them to undertake further training, often without addressing the broader structural challenges that lead to OOF teaching. In examining the literature on OOF teaching, it becomes apparent that the policies in both England and NSW frame OOF teaching as a detriment to educational quality. Consequently, these policies propose training as a solution, operating under the assumption that enhancing teachers' qualifications will positively impact student learning outcomes. However, this approach to problematisation often neglects the wellbeing of the teachers themselves. While the primary aim of these programs is to retrain teachers for mathematics teaching, it's important for policies addressing OOF teaching to consider those educators who continue to teach OOF but do not participate in these programs. Providing support for teachers who remain in OOF positions, yet are not beneficiaries of these retraining programs, is crucial. Such support can mitigate issues like teacher burnout, stress, and anxiety, potentially averting long-term consequences like teacher attrition. This focus on teacher welfare within OOF teaching policies is essential for a comprehensive approach to addressing the challenges in this area. References Bacchi, C., 2009. Analysing policy: what’s the problem represented to be? Frenchs Forest: Pearson. Bacchi, C., 2012. Why study problematisations? Making politics visible. Open journal of political science, 2 (1), 1–8. doi:10.4236/ojps.2012.21001 Ball, S.J., 1993. What is policy? Texts, trajectories and toolboxes. Discourse: studies in the cultural politics of education, 13 (2), 10–17. doi:10.1080/0159630930130203. Buenacosa, M.S.A. & Petalla, M. B. (2022). Embracing the Unknown: Adaptability and Resiliency of Out-of-Field Secondary Teachers Teaching English in Public Schools. Asian Journal of Education and Social Studies, 37(2), 1-29. https://doi.org/10.9734/ajess/2022/v37i2796 Carey, A. & Caroll, L. (2023, June 14). ‘Number of specialist maths teachers just doesn’t add up’. The Sydney Morning Herald. https://www.smh.com.au/education/number-of-specialist-maths-teachers-just-doesn-t-add-up-20230614-p5dgjm.html Hobbs, L. & Törner, G. (2019). Teaching Out-of-Field as a Phenomenon and Research Problem. In L. Hobbes & G. Törner (eds.), Examining the Phenomenon of “Teaching Out-of-field” (3-20). Springer. https://doi.org/10.1007/978-981-13-3366-8_1 Porsch, R., and R. Whannell. 2019. “Out-of-Field Teaching Affecting Students and Learning: What Is Known and Unknown.” In Examining the Phenomenon of “Teaching Out-of-Field”: International Perspectives on Teaching as a Non-Specialist, edited by L. Hobbs and G. Törner, 179–191. Singapore: Springer. doi:https://doi.org/10.1007/978-981-13-3366-8_7. Weale, S. (2023, April 17). ‘Shortage of teachers will be a big maths problem for Rishi Sunak. The Guardian. https://www.theguardian.com/education/2023/apr/17/shortage-of-teachers-will-be-a-big-maths-problem-for-rishi-sunak |