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27 SES 07 B: Secondary School Science Education
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27. Didactics - Learning and Teaching
Paper Has English Curriculum Reform Improved the Effectiveness of Practical Work in Science? Evidence From the Post-2016 GCSE Context University of East London, United Kingdom Presenting Author:Since the turn of the millennium, curriculum reform across many education systems has shifted from input regulation, focused on specifying content, towards output regulation, where educational quality is judged through attainment data, inspection and performance indicators (Nieveen & Kuiper, 2012). This reorientation reflects a “new curriculum” settlement in which curriculum policy is positioned as a lever for economic competitiveness and system improvement (Priestley & Biesta, 2013; Yates & Young, 2010). In England, the GCSE science curriculum has undergone sustained reform. The 2012 shift from modular to linear, terminal examinations increased the volume of content students must retain over two or three years (Ofqual, 2015). Reforms implemented from 2016 further reconfigured assessment through the introduction of required practical, mandating recall of up to 24 activities for the written examination (DfE, 2015). Together, these changes heightened concerns about memory, retention and cognitive overload, contributing to the growing prominence of Cognitive Load Theory in science education discourse (Sweller, 1988, 2016; Wiliam, 2017). This study revisits and extends Abrahams and Millar’s (2008) analysis of the effectiveness of practical work for conceptual learning. This paper draws on doctoral research to examine the effectiveness of practical work under the reformed GCSE science curriculum, focusing on how teachers interpret, enact, and adapt practical activities within increasingly constrained curricular and assessment frameworks. The study is guided by three research questions: The analysis is informed by the analytical framework developed by Abrahams and Millar (2008), which conceptualises the effectiveness of practical work across two domains: the doing of practical activity and the learning of underlying scientific ideas. This framework is integrated with Cognitive Load Theory (Sweller, 1988; Sweller, Ayres & Kalyuga, 2011), which provides a theoretical explanation for why practical work often succeeds procedurally while failing to support conceptual learning, particularly when cognitive demands compete with conceptual processing. Methodologically, the study adopts a qualitative multiple-case design involving classroom observations, semi-structured teacher interviews and student focus group interviews. Findings indicate continuity with Abrahams and Millar’s (2008) conclusion that conceptual learning during practical activity itself remains weak, largely due to the high cognitive load students experience while managing procedures, apparatus, and data simultaneously. However, the study extends this analysis by showing that conceptual development is increasingly relocated to post-practical, assessment-oriented instruction. Teachers actively deploy strategies to optimise cognitive load, such as simplifying procedures during practical lessons, increasing scaffolding, and using structured discussion and retrieval practice post-practical, to support learning. Although the reformed curriculum places renewed emphasis on conceptual understanding of practical work, this emphasis is predominantly realised through assessment backwash (Au, 2007). Acting as street-level bureaucrats (Hall & Hampden-Thompson, 2022), teachers exercise professional judgement to reconcile curriculum intentions, assessment accountability, and classroom constraints. As England enters another proposed curriculum review, this study offers timely insights into the need for greater coherence across curriculum, assessment design, and pedagogical guidance if practical work is to become epistemically, as well as procedurally, effective. Methodology, Methods, Research Instruments or Sources Used This doctoral study adopted a qualitative multiple-case study design to examine the effectiveness of required practical work within the post-2016 Key Stage 4 (KS4) GCSE science curriculum in England. The research is informed by a critical realist ontology, recognising an external classroom reality while acknowledging that access to that reality is mediated through interpretation, and an interpretive epistemological orientation appropriate for studying complex, context-dependent classroom practice (Bhaskar, 1978; Cohen, Manion & Morrison, 2017). The design focused on processes of enactment in situ rather than causal attribution, consistent with qualitative case study approaches to contemporary educational phenomena (Stake, 1995; Merriam, 1998; Yin, 2009). Four schools were recruited using availability/convenience sampling following challenges in gatekeeper access. Each case comprised a sequence of lessons organised around a GCSE required practical, enabling analysis of how practical work was developed across pre-practical, practical and post-practical phases. Data collection used methodological triangulation through: (1) non-participant classroom observations with field notes and multiple audio recordings to capture classroom interaction in real time (Adler & Adler, 2009) (2) semi-structured teacher interviews to elicit rationales, constraints and pedagogical strategies (Kvale, 1996; 2011; Qu & Dumay, 2011); and (3) student focus group interviews to explore learner perspectives on practical work, recall, and conceptual understanding (Krueger & Casey, 2000; Wilkinson, 2008). Documentary sources (curriculum specifications and awarding-body materials) were analysed to contextualise intended objectives and assessment expectations (DfE, 2015). Analysis followed a theory-driven thematic approach (Braun & Clarke, 2006; 2022), structured by an adapted analytical framework combining Abrahams and Millar’s effectiveness matrix (building on Millar et al., 1999; Tiberghien, 2000; Abrahams & Millar, 2008) with Cognitive Load Theory to examine strategies to optimise the cognitive load and support recall/retention (Sweller, Ayres & Kalyuga, 2011; Sweller, 2015). Rigour was supported through maintaining a chain of evidence and using multiple sources of evidence to enable convergent inquiry (Yin, 2009). Ethical approval and informed consent procedures followed institutional and BERA guidelines, with anonymity assured and participants able to withdraw (BERA, 2018). Conclusions, Expected Outcomes or Findings The findings suggest continuity with Abrahams and Millar’s conclusion that conceptual learning during practical activity is weak. This weakness is largely due to the high cognitive load imposed on students as they manage procedures, apparatus, and data simultaneously. Extending this analysis, the doctoral findings draw on observations of lesson sequences surrounding practical work, rather than the practical task alone. This broader lens shows that teachers actively deploy strategies to optimise cognitive load, including simplifying procedures during the practical, increasing scaffolding, and relocating conceptual work to post-practical lessons through structured discussion, retrieval practice, and guided application. These pedagogical adaptations must be understood within the wider context of curriculum reform. The post-2016 GCSE changes introduced linear, terminal examinations at the end of two or three years of study. This increased the volume of content students were expected to retain, intensifying concerns about memory, retention, and cognitive overload, and contributing to the growing prominence of Cognitive Load Theory in teacher discourse. While the reformed curriculum places renewed emphasis on conceptual understanding of practical work, the findings indicate that this emphasis is predominantly realised through assessment backwash. Epistemic talk and sense-making are frequently mediated by awarding-body exam questions and official assessment tasks, with conceptual learning increasingly driven by post-practical, assessment-oriented instruction rather than by inquiry during practical activity itself. The study highlights the difficulty teachers faced in coming to grips with curriculum change, often with limited pedagogical guidance beyond assessment requirements. Acting as street-level bureaucrats, teachers exercised professional judgement to reconcile curriculum intentions, assessment accountability, and classroom constraints. As England enters another proposed curriculum review, the findings underline the need for greater coherence across curriculum, assessment, and pedagogical support if practical work is to become epistemically, as well as procedurally effective-a challenge shared across European science education system. References Abrahams, I. and Millar, R. (2008) ‘Does practical work really work? A study of the effectiveness of practical work as a teaching and learning method in school science’, International Journal of Science Education, 30(14), pp. 1945–1969. Au, W. (2007) ‘High-Stakes Testing and Curricular Control: A Qualitative Metasynthesis’, Educational Researcher, 36(5), pp. 258–267. Available at: https://doi.org/10.3102/0013189x07306523. Deng, Z. (2022) ‘Powerful knowledge, educational potential and knowledge-rich curriculum: pushing the boundaries’, Journal of Curriculum Studies, 54(5), pp. 599–617. Available at: https://doi.org/10.1080/00220272.2022.2089538. DfE (2015) Biology, chemistry and physics GCSE subject content. Available at: Available at: https://www.gov.uk/government/publications/gcse-single-science (Accessed: 14 February 2017). Hall, M. and Hampden-Thompson, G. (2022) ‘The teacher as street-level bureaucrat: science teacher’s discretionary decision-making in a time of reform’, International Journal of Science Education, 44(6), pp. 980–999. Available at: https://doi.org/10.1080/09500693.2022.2059588. Magee, J., O’Connor, K. and Swain, N. (2025) ‘Knowledge-rich curriculum: towards definitional clarity in the context of reform in Australia and England’, Education 3-13, 53(7), pp. 1190–1203. Available at: https://doi.org/10.1080/03004279.2025.2514696. Millar, R. (2010) Analysing practical science activities to assess and improve their effectiveness. Hatfield. Nieveen, N. and Kuiper, W. (2012) ‘Balancing curriculum freedom and regulation in the Netherlands’, European Educational Research Journal, 11(3), pp. 357–368. Available at: https://doi.org/10.2304/eerj.2012.11.3.357. Priestley, M. and Biesta, G. (2013) Priestley, M., & Biesta, G. J. J. (Eds.). (2013). Reinventing the curriculum: New trends in curriculum policy and practice, Reinventing the Curriculum. London: Bloomsbury Publishing Plc. Available at: https://doi.org/10.5040/9781472553195. Sweller, J. (2020) ‘Cognitive Load Theory’, in S. Tindall-Ford, S. Agosthinho, and J. Sweller (eds.) Advances in Cognitive Load Theory. 1st ed. London and NY: Routledge, pp. 1–11. Yates, L. and Young, M. (2010) ‘Globalisation, knowledge and the curriculum’, European Journal of Education, 45(1), pp. 4–10. Available at: https://doi.org/10.1111/J.1465-3435.2009.01412.X;. 27. Didactics - Learning and Teaching
Paper Assessing Scientific Reasoning and Critical Thinking Through Textbook Analysis – Challenges for Science Education University of Prishtina, Kosovo Presenting Author:Science education is a curriculum that incorporates scientific knowledge, reasoning, organizing, and problem-solving skills, equipping students to apply scientific knowledge to complex real-life situations and challenges (Noor, 2021). Therefore, science is considered essential for understanding the world around us and fostering innovation (Reiss et al., 2017). Hence, a curriculum that promotes and supports the development of scientific literacy should be central to discussions aimed at strengthening students’ skills to engage critically with the world (Young, 2008). In this regard, the school and learning resources are expected to play a critical role. In 2011, Kosovo drafted its first educational curriculum framework, which it redesigned in 2016 to emphasize competency development and equip students with 21st-century skills (MESTI, 2017). Scientific literacy is considered an important goal of science in our intended curriculum, but it remains desirable whether it is treated as a core topic of content and teaching approach. This becomes even more challenging when we consider that, in our context, books are the primary teaching resources. In this regard, the textbook content and tasks, which are fundamental to assessing students’ learning, do not always meet standards of rigorous research or align with what the curriculum often anticipates (Authors et al., 2025; Kahveci, 2010; Wan et al., 2024). This is partly linked to a broader disregard for epistemological knowledge in national curricular standards, as highlighted by studies in this field (Wan et al., 2024). Results indicate a trend of decline in students' performance in PISA over the years in Kosovo (OECD 2019). Hence, aligning textbook content with the PISA framework requirements can be a vital step toward improving students’ performance in science. As such, textbooks have the potential to support the development of science literacy and related competences (Hatzinikita et al., 2008; Wan et al, 2024). Therefore, analysing the content of science textbooks and the extent to which these questions promote critical thinking is both timely and relevant. Moreover, this analysis aligns with European policies and strategies, particularly the updated EU’s Key Competencies for Lifelong Learning framework (2018), which emphasizes that competencies that foster critical thinking and inquiry-based teaching should be essential for science education curricula and considered foundational global skills for the 21st century. For Kosovo, textbooks are challenging due to several factors related to educational reforms and teachers limited formal education in science. In addition, teachers ‘poor epistemological knowledge and comprehension of the nature of science (Wan et al.,2024; Zhang & Lamb, 2024) have influenced the fact that they mainly rely on textbooks. Textbook analyses have revealed that science textbooks frequently incorporate questions that emphasise lower cognitive skills, with little emphasis on inquiry-based learning and scientific reasoning (Author et al., 2025) often failing to provide tasks that require scientific reasoning and development of epistemic knowledge (Hofstein & Lunetta, 2004). Inquiry-based tasks are typically guided and procedural, offering few opportunities for students to engage in evidence-based argumentation or reasoning (Yang et al., 2019). Science books should incorporate practical, real-life tasks to engage students and help them apply scientific knowledge in their daily lives. This study uses the PISA Science Framework (PISA-SF) (2018) to explore the characteristics of end-of-chapter questions in science textbooks, with a focus on scientific competencies as an important dimension for promoting critical thinking. Hence, two research questions are posed:
Methodology, Methods, Research Instruments or Sources Used A total of 2074 science textbooks questions at the end of the chapters from four 8th-grade textbooks (chemistry, biology, and physics) currently in use by the Kosovo educational system served as the data source for analysis. This research focused on the selected textbooks that the MESTI approved and catalogued as in use for each school year (republished with duplicate content in consecutive years, with minor text changes), according to Kosovo's education system. Textbooks at this grade level are considered important for preparing students who participate in international assessments such as PISA and TIMSS. They are crucial because they encompass all the content covered in earlier years. This study employed qualitative content analysis (Mayring, 2014). The PISA Science Framework (PISA-SF) provides a powerful lens for assessing the content of books, particularly questions. The content of the questions served as a qualitative indicator to code the science textbook questions in alignment with PISA-SF (three domain competencies of scientific literacy: ‘explaining phenomena scientifically, ‘evaluating and designing scientific research, and ‘interpreting data and evidence scientifically’). These dimensions are crucial for understanding how students use their cognitive skills to learn and solve problems, providing valuable insights into opportunities and challenges in the classroom and in learning resources (Pickard, 2007). In addition, after coding, frequencies and percentages were calculated and presented, serving as quantitative indicators (Cohen et al., 2017). At the secondary level, to provide more valuable insights into the cognitive level these questions depict and how they are constructed, an inductive approach was employed. This procedure enabled us to highlight the characteristics of these questions and provide suggestions for upgrading them to questions that encourage critical thinking. This aspect of the methodology would add value by providing practical, concrete guidance on designing questions that encourage critical thinking. Conclusions, Expected Outcomes or Findings This study aimed to examine the characteristics of science textbook questions and their alignment with the PISA-SF (scientific competencies). Results indicated that, of the 2074 questions examined in 8th-grade science textbooks, a wide range aligned with the first scientific competence, ‘explain phenomena scientifically’, and primarily addressed lower cognitive demands, downplaying critical thinking skills. In addition, qualitative content analysis of the questions indicated that most could stimulate critical thinking and scientific reasoning, but their formulations and failure to connect them to a real-life context led to short answers that focused mainly on explaining scientific phenomena. This implies that our textbooks provide opportunities to explore concepts, theories, and their reinterpretation, thereby hindering understanding of scientific inquiry, consistency, reasoning, and argumentation, and hence minimizing relationships among dimensions of thought. When examined for higher scientific competencies, results indicated a comparatively uncommon presence of ‘interpret data and evidence scientifically’ and ‘evaluate and design scientific inquiry’. In this regard, while epistemic knowledge was limited, content information was overemphasised. Similar findings were reported by Wan et al. (2024), who emphasized a predominance of questions requiring ‘explanations of scientific phenomena’ and disconnected from real-life contexts. This suggests that students' ability to think critically is limited by the large percentage of textbook questions that place greater emphasis on memorisation than conceptual understanding (Kömürcü & Türkoğlu, 2022; Beníčková et al., 2021; Vojir & Rusek, 2022). This is the first national analysis showing that our schools’ basic resources lack complex tasks and fall short of scientific literacy standards, hindering performance improvements and alignment with global science education trends. Findings add value to educational policymakers, textbook authors, and instructional designers by emphasizing the need to harmonize curricula and advance teaching practices to promote science education through critical thinking. References Authors et al., 2025 Beníčková, Z., Vojíř, K., & Held, L. (2021). A comparative analysis of text difficulty in Slovak and Canadian science textbooks. Chemistry-Didactics-Ecology-Metrology, 26(1-2), 89–97. https://doi.org/10.2478/cdem-2021-0007 Cohen, L., Manion, L., & Morrison, K. (2017). Research design and planning. In Research methods in education (pp. 173-201). Routledge. Council of the European Union. (2018, May 22). Council recommendation on key competences for lifelong learning. Official Journal of the European Union. https://op.europa.eu/en/publication-detail/-/publication/6fda126a-67c9-11e8-ab9c-01aa75ed71a1/language-en Hatzinikita, V., Dimopoulos, K., & Christidou, V. (2008). PISA test items and school textbooks related to science: A textual comparison. Science Education, 92(4), 664-687. Hofstein, A., & Lunetta, V. N. (2004). The laboratory in science education: Foundations for the twenty‐first century. Science education, 88(1), 28-54. Kahveci, A. (2010). Quantitative analysis of science and chemistry textbooks for indicators of reform: A complementary perspective. International journal of science education, 32(11), 1495-1519.3 Kömürcü, A. S., & Türkoğlu, A. Y. (2022). Fen bilimleri ders kitaplarındaki soruların PISA’da tanımlanan fen okuryazarlığı yeterlik düzeylerine göre incelenmesi. Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi, 22(3), 1001-1025. Mayring, P. (2014). Qualitative content analysis: Theoretical foundation, basic procedures and software solution. Klagenfurt: Beltz. Retrieved from https://www.ssoar.info/ssoar/handle/document/39517 MESTI. (2017). Curricular Framework of Pre-University Education of the Republic of Kosovo. Noor, M. S. A. M. (2021). Assessing secondary students’ scientific literacy: A comparative study of suburban schools in England and Malaysia. Science Education International, 32(4), 343-352. OECD (2019), PISA 2018 Assessment and Analytical Framework, PISA, OECD Publishing, Paris, https://doi.org/10.1787/b25efab8-en Reiss, S., Garrigan, K., Mixon, B., Hunter, D., Quade, B., & Zaninno, D. (2017). Transforming the world through science. National Science Foundation. Vojíř, K., & Rusek, M. (2022). Of teachers and textbooks: lower secondary teachers' perceived importance and use of chemistry textbook components. Chemistry Education Research and Practice, 23(4), 786-798. Wan, D., Lee, Y. J., Chen, S., & Yu, Q. (2024). How scientific literacy is conceptualized in tasks from junior secondary physics textbooks. International Journal of Science Education, 1-24. Yang, W., Liu, C., & Liu, E. (2019). Content analysis of inquiry-based tasks in high school biology textbooks in Mainland China. International Journal of Science Education, 41(6), 827-845. Young, M. (2008). From constructivism to realism in the sociology of the curriculum.Review of research in education, 32(1), 1-28. Zhang, Z, & Lamb, M. (2024). Teachers’ questioning practices in Chinese secondary biology classrooms. International Journal of Science and Mathematics Education, in press. 27. Didactics - Learning and Teaching
Paper Cultivating Scientific Attitudes in the Classroom: A Phenomenological Study of Turkish Science High School Students Middle East Technical University Presenting Author:This phenomenological study investigates science high school (SHS) students' classroom experiences in developing scientific attitudes such as curiosity, open-mindedness, skepticism, objectivity, perseverance, and intellectual honesty (Gardner, 1975; Pitafi & Farooq, 2012). Positioned within the didactics of science education, it examines how teaching-learning processes and pedagogical interactions shape scientific dispositions (Osborne et al., 2003). This research reveals gaps between science high schools' stated educational missions and enacted classroom practices (Bal, 2020; Göloğlu-Demir & Kaplan-Keleş, 2021). Methodology, Methods, Research Instruments or Sources Used This study employs Interpretative Phenomenological Analysis (IPA) (Smith et al., 2009), examining how students make meaning of classroom experiences in developing scientific attitudes. IPA's idiographic focus allows deep exploration of teaching-learning dynamics from students' lived perspectives (Creswell, 2007). Conducted at a public Science High School in southern Türkiye (2024-2025), the study employed purposeful maximum variation sampling (Patton, 2015) to capture diverse classroom experiences. The sample comprised 59 students across grades 9-12, varying by gender, boarding status, parental education, prior schooling, and project engagement. Data saturation was reached after approximately 50 interviews. Semi-structured interviews (45-60 minutes) in Turkish explored: perceptions of scientific attitudes, experiences with different instructional methods (lecturing, inquiry-based, student-centered), teacher-student interactions, laboratory work, classroom climate, assignment practices, and the influence of examination pressure. Analysis followed IPA's idiographic approach: verbatim transcription, repeated reading, within-case theme identification, cross-case analysis, and superordinate theme development. MAXQDA facilitated coding. Trustworthiness was established through member checking, triangulation, prolonged engagement (six months), peer debriefing, and thick description (Lincoln & Guba, 1985). Ethical approval was obtained from university and Ministry of National Education Conclusions, Expected Outcomes or Findings Findings reveal one overarching theme “Classroom Experiences in Developing Scientific Attitudes” with instructional practices as the central category, revealing teaching-learning processes and quality gaps between institutional missions and classroom realities. Instructional Practices in Science Subjects yielded six subcategories: (1) Predominant Use of Lecturing revealed that traditional methods dominated, suppressing curiosity and questioning (Göloğlu-Demir & Kaplan-Keleş, 2021); (2) Curiosity-Focused Strategies involving out-of-curriculum knowledge and open-ended questions heightened engagement; (3) Student-Centered Learning as collaborative problem-solving fostered open-mindedness and self-confidence; (4) Classroom Atmosphere revealed as student-initiated questions created intellectually stimulating environments with psychological safety; (5) Development of Scientific Mindset referring to presenting multiple solutions promoted critical thinking and questioning of assumptions; (6) Hands-On Laboratory Learning unveiled as sparked curiosity and creativity, though opportunities diminished in upper grades due to exam pressures. Instructional Practices in Social Subjects revealed five subcategories: (1) Dialogic Engagement as conversational styles enhanced engagement despite lecturing dominance; (2) Critical Dialogue indicating philosophy and literature fostered questioning; (3) Interdisciplinary Curiosity revealed as connecting science with humanities sparked broader inquiry; (4) Exam Pressure including narrowed curricular focus and reduced exploration; (5) Classroom Dynamics revealed as supportive climates enabled expression; restrictive ones suppressed questioning. Assignment Practices included five subcategories: (1) Routine Assignments developing procedural fluency, not attitudes; (2) Writing Tasks fostering creativity and critical thinking; (3) Research-Oriented Assignments enhancing questioning and synthesis; (4) Term Papers revealed as significantly developing research skills, curiosity, and perseverance; (5) Intrinsic/Extrinsic Motivation revealing that assignment type influenced engagement quality. Critical Quality Assurance Finding: A fundamental tension emerged between institutional mission (developing scientific thinking) and enacted pedagogy (examination preparation). Inquiry-based learning was increasingly displaced by test-oriented instruction as students progressed. This misalignment represents a significant quality gap requiring systemic restructuring of assessment contexts (Black & Wiliam, 2009). References Bal, A. P. (2020). The evaluation of mission, aims, and structure of Science High Schools in Turkey. Turkish Studies-Educational Sciences, 15(3), 1643-1667. Black, P., & Wiliam, D. (2009). Developing the theory of formative assessment. Educational Assessment, Evaluation and Accountability, 21(1), 5-31. Creswell, J. W. (2007). Qualitative inquiry and research design (2nd ed.). Sage. Denzin, N. K., & Lincoln, Y. S. (2011). The SAGE handbook of qualitative research (4th ed.). Sage. Gardner, P. L. (1975). Attitudes to science: A review. Studies in Science Education, 2(1), 1-41. Göloğlu-Demir, C., & Kaplan-Keleş, Ç. (2021). Reflections from science high schools: A cultural historical activity theory perspective. Education and Science, 46(207), 157-186. Jones, A. T., & Butts, D. P. (1983). Assessing students' perceptions and learning in the laboratory. Journal of Research in Science Teaching, 20(5), 465-469. Kuhn, D. (2002). What is scientific thinking and how does it develop? In U. Goswami (Ed.), Blackwell handbook of childhood cognitive development (pp. 371-393). Blackwell. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage. Merriam, S. B. (2009). Qualitative research: A guide to design and implementation. Jossey-Bass. Ministry of National Education [MONE]. (1999). Science High Schools regulation. Official Gazette No: 23804. Ministry of National Education [MONE]. (2024). 2024-2028 Strategic Plan. MEB. National Research Council [NRC]. (2012). A framework for K-12 science education. National Academies Press. OECD. (2019). OECD Learning Compass 2030. OECD Publishing. Osborne, J., Simon, S., & Collins, S. (2003). Attitudes towards science: A review of the literature. International Journal of Science Education, 25(9), 1049-1079. Patton, M. Q. (2015). Qualitative research and evaluation methods (4th ed.). Sage. Pitafi, A. I., & Farooq, M. (2012). Measurement of scientific attitude of secondary school students in Pakistan. Academic Research International, 2(2), 379-392. Smith, J. A., Flowers, P., & Larkin, M. (2009). Interpretative phenomenological analysis: Theory, method and research. Sage. van Manen, M. (2016). Researching lived experience: Human science for an action sensitive pedagogy (2nd ed.). Routledge. Zimmerman, C. (2007). The development of scientific thinking skills in elementary and middle school. Developmental Review, 27(2), 172-223. 27. Didactics - Learning and Teaching
Paper Motivation and Optimal Learning Moments Predicting Enjoyment, Cooperativeness, Concentration, and Perceived Success: An Experience Sampling Study in High School Science Classes 1: University of Helsinki, Finland; 2: University of Turku, Finland; 3: Michigan State University, United States; 4: University of Johannesburg, South Africa Presenting Author:Understanding how students engage with learning tasks requires sustained attention to the situational motivational states that arise in authentic classroom contexts. Recent research has emphasized that student engagement fluctuates from moment to moment and is sensitive to how learning activities are framed, how relevant they appear, and how students perceive their own role within them (Ronkainen et al., 2025; Salmela‐Aro et al., 2021; Vilhunen et al., 2022). These momentary fluctuations matter because engagement is not simply a stable trait or a general attitude toward school; rather, it reflects a dynamic process shaped by immediate experiences, affective responses, and perceptions of autonomy and competence. As a result, examining engagement at the situational level provides a powerful lens for understanding why certain tasks elicit deep, sustained involvement while others lead to distraction or minimal participation.
For teachers, this raises a practical question: What kinds of motivational signals in everyday instruction support meaningful engagement, and under what conditions is this engagement most likely to emerge? Addressing this question requires a research approach that links students’ motivations in the moment to their actual experiences as they participate in classroom activities. In this study, we examine how students’ instructional motivation relates to their momentary engagement and whether this relation is mediated by optimal learning moments (Schneider, 2016). More broadly, our aim is to contribute to an evidence base that can inform instructional practice by clarifying how classroom environments may foster the momentary motivational conditions under which meaningful engagement is most likely to occur.
Instructional motivation refers to the specific motivational processes that arise during learning activities in the classroom—moment‑to‑moment feelings, goals, and perceptions that shape how students engage with instruction. We conceptualize instructional motivation through students’ self‑reported reasons for engaging in an activity (“want to,” “had to,” or “had nothing else to do”). These categories align with Self‑Determination Theory (SDT), which differentiates autonomous motivation, controlled motivation, and amotivation (Deci & Ryan, 1985, 2000). Optimal learning moments refer to situations in which students experience simultaneously high levels of interest, skill, and challenge. This formulation follows prior work using experience‑sampling methods to identify conditions under which students feel most engaged during science learning (Schneider et al., 2016). In turn, situational engagement is captured through four momentary indicators: enjoyment, cooperativeness, concentration, and perceived success. These map onto commonly recognized dimensions of engagement: emotional, social/behavioral, and cognitive engagement (Finn & Zimmer, 2012; Fredricks et al., 2004, 2019). Our conceptual model tests three pathways. First, we examine the effect of instructional motivation (i.e., “want to,” “had to,” or “had nothing else to do”) on optimal learning moments (Path A in the mediation model). Second, we investigate whether optimal learning moments predict momentary engagement variables: concentration, enjoyment, cooperativeness, and perceived success (Path B in the mediation model). Third, we assess whether instructional motivation also has direct effects on the four engagement indicators (Path C in the mediation model). Methodology, Methods, Research Instruments or Sources Used This study comprises two sub-studies. In both studies, data were gathered in authentic classroom environments using the experience sampling method (ESM; Zirkel et al., 2015). Study 1 was conducted in Finnish upper secondary school science classes between 2018 and 2019. The participants (n = 439) were upper secondary school students from 19 classes. In each class, data were collected during a study period of five to seven consecutive lessons (75 min each). Students completed an ESM questionnaire using their smartphones, three times during each science lesson in the study period. Thus, each student received 15 to 21 opportunities to answer the questionnaire, resulting in a total of 5,741 ESM observations. Study 2 was conducted in U.S. high school science classrooms. Data were collected in Michigan from 2013 to 2019 and in California during the 2018–2019 period. The full dataset included 38,753 momentary observations from 1,909 students; due to missingness, the analytic sample size varied by model, ranging from 34,782 to 38,176 observations nested within 1,161 to 1,291 students. In the ESM questionnaire, motivation to task was assessed with a single item asking “Were you doing the main activity because you…” with the response options: “wanted to”, “had to”, or “nothing else to do”. Students were able to choose only one option. The components of optimal learning moments were examined using the following questions: “Were you interested in what you were doing?”, “Did you feel skilled at what you were doing?”, and “Did you feel challenged by what you were doing?”. A four-point Likert scale, with the response categories from 1 = ‘not at all’ to 4 = ‘very much’ was used. A situation was considered as an optimal learning moment if a student responded the option 3 or 4 to all the three questions. Task engagement was measured using four items: “Do you enjoy what you are doing?”, “Were you feeling cooperative”, “How much were you concentrating?”, and “Were you succeeding?”. Again, a four-point Likert scale, with the response categories from 1 = ‘not at all’ to 4 = ‘very much’ was used. A series of multilevel regression models were estimated to test the proposed mediation framework (i.e., Paths A, B, and C). All analyses were conducted in R using the lme4 package, separately for Finnish and U.S. data. Conclusions, Expected Outcomes or Findings For Path A, instructional motivation was strongly associated with the likelihood of experiencing an optimal learning moment. In both countries, want-to activities were associated with a significantly higher likelihood of engagement than had-to activities. The difference between want-to and had-to seemed to be somewhat larger in the Finnish than in the U.S. data. Activities reported as being engaged in because there was nothing else to do were associated with an even lower likelihood of experiencing an optimal learning moment. In both countries, for Path B, experiencing an optimal learning moment was positively associated with momentary concentration, enjoyment, cooperativeness, and perceived success. The effects in Finnish data appeared somewhat smaller than in U.S. data. Finally, Path C results from both countries indicated that instructional motivation was directly associated with engagement outcomes (i.e., concentration, enjoyment, cooperativeness, and perceived success). Compared to want-to situations, both had-to and nothing-else-to-do situations were associated with significantly lower levels of concentration, enjoyment, cooperation, and perceived success across momentary experiences. The full mediation models with detailed results will be presented in the full paper. Overall, the results of this study indicate that students report systematically poorer engagement-related outcomes when activities are externally imposed or lack clear motivational framing, relative to activities they want to engage in. This finding has several implications for both research and practice. The results highlight the need to examine the situational features of instruction that shape students’ motivational states. Future research should therefore investigate how instructional activities support or hinder the emergence of optimal learning moments and student engagement. Also, the findings suggest that creating classroom environments in which students frequently interpret tasks as something they want to engage in is central to sustaining momentary engagement. Activities that enhance autonomy, relevance, and positive emotional climate may therefore enhance learning processes. References Deci, E. L., & Ryan, R. M. (1985). 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