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03 SES 07 A: Science Curriculum: Big Ideas, Content and Textbooks
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03. Curriculum Innovation
Paper Expert Reflection on Big ideas in Science Curriculum: The topic of Energy in Iran and the Netherlands 1: Department of Educational Sciences, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran.; 2: Graduate School of Teaching (ICLON), Leiden University, Leiden, The Netherlands. Presenting Author:In recent decades, science education has faced a persistent and widely acknowledged challenge: a lack of conceptual coherence stemming from overloaded curricula and the fragmented presentation of scientific topics. Such fragmentation limits students’ opportunities to develop deep, connected, and transferable understanding and can distance learners from science while hindering efforts to relate scientific ideas to real-life contexts (Harlen, 2010, 2015). In response, “big ideas” have been proposed as a conceptual framework for structuring science learning. Big ideas in science learning are the fundamental, generative, and explanatory concepts that help learners make sense of a wide range of phenomena within a coherent meaning system and across developmental time (Plummer & Krajcik, 2010; Perkins, 2014). Empirical research suggests that big-ideas-based curriculum design can strengthen both horizontal and vertical coherence, facilitate integration across scientific domains, and enhance student engagement (Bell et al., 2018; Chalmers et al., 2017), and that teachers may use big ideas to strengthen links between school science and students’ everyday experiences (Bravo & Reiss, 2021). Despite this prominence, two gaps remain in the literature. First, there is still limited consensus regarding what constitutes a big idea and how its scope, boundaries, and criteria for identification should be defined (Siemon, 2022; Nosrati, 2025). Second, it remains unclear which features of big ideas are generalizable across educational contexts and which are shaped by cultural, structural, and curricular traditions within particular education systems (Nosrati, Talaee, Hatami, & Mehrmohammadi, 2025). Recent work suggests that overarching ideas can be framed through different disciplinary lenses for sense-making, reinforcing the need for comparative investigations of how big ideas are interpreted across educational ecosystems (De Boer, Janssen, Van Driel, & Dam, 2019). In the Dutch context, curriculum developments such as Curriculum.nu (2019) further underscore expectations for science teaching that combine conceptual understanding with societal relevance, illustrating how national frameworks may align with big-idea thinking. Against this backdrop, the present study investigates how science education experts in two contrasting educational systems, Iran and the Netherlands, interpret and operationalize the Big Ideas of Energy, and how these interpretations relate to broader cultural, linguistic, and structural characteristics of the systems. The central research question guiding the study is: Which characteristics of big ideas and conceptual coherence are context-dependent, and which possess a more universal, cross-cultural nature? The study’s objectives are (a) to map expert conceptualizations of coherence in relation to Energy as a curriculum topic; (b) to identify convergences and divergences in how big ideas are understood as curriculum organizers across contexts; and (c) to generate implications for context-responsive curriculum design and implementation. The theoretical framing positions big ideas as curriculum organizers that support conceptual coherence by connecting ideas within and across domains (Cartier & Pellathy, 2009; Plummer & Krajcik, 2010). Conceptual coherence is treated as learner-centered, acknowledging that what appears coherent to disciplinary experts may not necessarily support student understanding. The study also draws conceptual contrasts with Threshold Concepts to clarify the status of big ideas as organizers of learning progressions rather than gateways tied to individual conceptual transformation. Building on Nosrati’s (2025) typology, big ideas are approached through core features related to intradisciplinary and interdisciplinary coherence, while recognizing that their interpretation and implementation are mediated by local educational ecosystems (Nosrati, 2025). Methodology, Methods, Research Instruments or Sources Used This study adopts a descriptive–analytical and comparative design to examine how the Big Ideas of Energy are interpreted and operationalised in two educational contexts: Iran and the Netherlands. The dataset was generated through an online questionnaire completed by eight Iranian and six Dutch science education experts. Experts were recruited via purposeful sampling using equivalent criteria in both countries to ensure comparability. Selection criteria included professional experience in science education, physics education, curriculum design, or teacher education; documented expertise in teaching and/or curriculum development related to energy (e.g., textbook authorship or scholarly publications); recent involvement in curriculum initiatives or teacher professional development; and professional recognition evidenced through institutional roles, publication records, or nominations by senior experts. The study uses four Big Ideas of Energy as the analytical reference framework: (1) Energy is conserved and transforms when systems interact; (2) the amount of nergy available to any system is limited; (3) the quality and direction of energy transfer determine system outcomes; and (4) all living and non-living systems depend on a continuous flow of energy for survival, functioning, or growth. These Big Ideas, developed by Nosrati’s (2025), were validated through expert consensus, structured the questionnaire and the subsequent analysis. The questionnaire consisted of short, structured yet open-ended items designed to elicit reflective, conceptually rich responses while minimizing respondent burden. Items were developed based on the study’s conceptual model and addressed three analytical dimensions: Big Ideas of energy, intra- and interdisciplinary coherence, and contextual/cultural interpretation. Participants responded in Persian, English, or Dutch according to preference; all responses were translated into English for analysis. Translation quality was supported through review by proficient speakers, participant clarification of ambiguous phrases when needed, and reference to both original and translated texts in cases of interpretive uncertainty. Data were analysed using qualitative content analysis. Responses were read iteratively to identify conceptual patterns and context-dependent interpretations. Coding was guided by theoretically derived categories from the conceptual model while remaining interpretive. Analysis proceeded in two stages: within-context analysis for each country, followed by cross-context comparison to identify convergences, divergences, and culturally mediated interpretations. Rigour was strengthened through independent coding by two coders with iterative consensus-building, maintenance of an audit trail, use of direct quotations to ground interpretations, and reflexive memos throughout the analytic process. Ethical procedures included informed consent, anonymisation, and secure data storage with restricted access. Conclusions, Expected Outcomes or Findings The study is expected to show how expert interpretations of the Big Ideas of energy are shaped by the cultural, linguistic, and structural characteristics of educational systems, and how conceptual coherence is pursued through different “implementation levers” across contexts. In the Iranian context, experts are expected to identify the core conceptual challenge of teaching Energy as the abstractness of content, weak coherence in textbooks, curriculum overload, and limited connections to everyday life; consequently, they tend to view Big Ideas primarily as a structural and organizational tool for curriculum design, emphasizing textbook coherence and deliberate sequencing as key levers for improving understanding. In the Dutch context, experts are expected to foreground linguistic and semantic ambiguity as the dominant barrier, particularly tensions between everyday and scientific meanings of “Energy”, and to emphasize scientific language, semantic precision, and model-based reasoning as essential conditions for conceptual coherence. Dutch experts are also expected to express more critical stances toward the current four-part Big Ideas framework, highlighting the need for clearer system boundaries, explicit attention to measurement-related principles, and greater conceptual precision. Across both contexts, the findings are expected to surface partially overlapping concerns (e.g., school–university discontinuities and the need for effective teaching approaches), while also revealing differences in what is treated as the primary driver of students’ interpretations. Iranian experts are expected to emphasize teacher-, textbook-, resource-, and assessment-related factors, whereas Dutch experts are expected to highlight broader socio-cultural and linguistic influences such as the home language environment and students’ everyday engagement with scientific ideas. Overall, the results are expected to support the claim that Big Ideas do not operate as fixed, universally transferable constructs; rather, they function as context-responsive frameworks whose effectiveness depends on culturally aligned implementation that combines internal conceptual integration with meaningful connections to real-life contexts. References •Boer, E. de, Janssen, F. J. J. M., Driel, J. H. van, & Dam, M. (2019). Perspective-Based Generic Questions as a Tool to Promote Student Biology Teacher Questioning. Research In Science Education, 51(5). doi:10.1007/s11165-019-9853-9 •Bell, T., Tymann, P., & Yehudai, A. (2018). The big ideas in computer science for K-12 curricula. Bulletin of EATCS, 1(124). •Bravo Gonzalez, P., & Reiss, M. J. (2021). Science teachers’ views of creating and teaching Big Ideas of science education: experiences from Chile. Research in Science & Technological Education, 1-21. •Chalmers, C., Carter, M., Cooper, T., & Nason, R. (2017). Implementing “Big Ideas” to Advance the Teaching and Learning of Science, Technology, Engineering, and Mathematics (STEM). International Journal of Science and Mathematics Education, 15(1), 25-43. •Cartier, J. L., & Pellathy, S. L. (2009). Integration with Big Ideas in Mind. Science and Children, 46(8), 44. •Harlen, W. (2010). Principles and big ideas of science education (W. Harlen Ed.): Association for Science Education. •Harlen, W. (2015). Working with big ideas of science education. Trieste: The Science Education Programme (SEP) of IAP. •Nosrati, S. (2025). Redesigning the intended lower secondary science curriculum based on big ideas design principles and proposing a sample big-ideas-based curriculum for the topic of energy (doctoral dissertation). Tarbiat Modares University, Faculty of Humanities. •Nosrati, S., Talaei, E., Hatami, J., & Mehrmohammadi, M. (2025). Features and elements of a big-ideas-based science curriculum: A systematic review. Curriculum Studies Theory and Practice, X(X), 187–210. https://doi.org/10.22034/cstp.2025.548359.1108 •Perkins, D. (2014). Future wise: Educating our children for a changing world. John Wiley & Sons. •Plummer, J. D., & Krajcik, J. (2010). Building a learning progression for celestial motion: Elementary levels from an earth-based perspective. Journal of research in science teaching, 47(7), 768-787. •Siemon, D. (2022). Teaching with the Big Ideas in Mathematics. ISSUES IN THE TEACHING OF MATHEMATICS. State of Victoria (Department of Education and Training). 03. Curriculum Innovation
Paper Shifts in SSI-Based Curriculum Among Pre-Service Science Teachers Middle East Technical University, Turkey (Türkiye) Presenting Author:SSI have been used extensively in science education to help students develop their ability to argue, reason ethically, and make decisions (Zeidler et al., 2005; Sadler, 2004). Additionally, SSI-based instruction supports students' responsible actions and helps them relate science to their daily life (Zeidler & Nichols, 2009). However, studies indicate that the existing curricular structure presents difficulties for science teachers implementing SSI (Kilinc et al., 2013; Tidemand & Nielsen, 2017). For instance, the centralized and content-heavy structure of the science curriculum provides limited opportunity for interdisciplinary, ethical, and open-ended argumentation. To address these difficulties, teacher education programs should support PSTs to critically examine the science curriculum and develop skills to integrate SSI-based teaching to existing science curriculum. Therefore, this study examined how PSTs' beliefs regarding science curriculum were influenced by SSI-based instruction. Hodson (2003) identifies four primary goals of science education: learning science (content acquisition), learning about science (understanding the nature of science), doing science (inquiry practice), and connecting with science in society (addressing SSI). Leung (2022) categorized curriculum models as linear, circular, or multidirectional. Linear models reflect a sequential and discipline-based approach, often aligning with traditional science curricula (Profile A). Circular models indicate interconnected yet unidirectional perspectives across disciplines (Profile B). Multidirectional models, used by Profile C teachers, represent dynamic, non-linear structures that integrate ethical reasoning, real-life contexts, and SSI. These models are pedagogically meaningful, as they align with the aims of SSI-based instruction to promote holistic and flexible curriculum thinking. Moreover, these profiles were in parallel with science education goals (Hodson, 2003) accepted for this study. These objectives and curriculum profiles provide a useful perspective for interpreting the science curriculum profiles of PSTs and understanding change in PSTs’ science curriculum during SSI based instruction. The purpose of the study was to investigate the beliefs of PSTs about socioscientific issues (SSI) science curriculum and how their beliefs changed during SSI-based instruction. The study's goal was to understand how PSTs' curricular models and components for science curriculum changed through SSI-based instruction. In line with this purpose, the following research question was asked: How do preservice science teachers’ beliefs about SSI science curriculum change through SSI-based instruction? According to the study's findings, PSTs used curriculum design tasks to develop their beliefs about SSI science curriculum. This is consistent with the idea that teacher beliefs are not static but can change through organized tasks, dialogic reflection, and authentic teaching environments (Luft & Roehrig, 2007). In particular, they developed their skills to develop science curriculum and changed their beliefs from discipline-based and traditional to a more interdisciplinary and transdisciplinary approach to science curriculum. These findings are noteworthy because they demonstrate how teacher education programs can give PSTs the opportunity to gain a deeper comprehension of the science curriculum and incorporate characteristics of SSI teaching into science curriculum and instruction. By participating in ongoing curriculum design and microteaching tasks, PSTs were able to test, update, and negotiate their understanding about science curriculum and how and why to integrate SSI teaching to science curriculum within a supportive learning community. This study makes a methodological and practical contribution by extending Leung's (2022) curricular profile approach to investigate shifts across time. It offers insight on how PSTs’ curriculum decisions change during SSI-based instruction, and how these decisions represent epistemic beliefs that go beyond surface-level content selection. The study also adds to the body of knowledge regarding curriculum beliefs and how instructional design and reflective practices might alter them. It also provides empirical evidence for how curriculum design activities can be valuable instruments for redesigning science teacher education programs in line with SSI and interdisciplinary science teaching goals. Methodology, Methods, Research Instruments or Sources Used A qualitative case study design was used in this study (Creswell, 2002; Yin, 2014). The case was bounded to an interdisciplinary science teaching course. The course was compulsory for fourth-year undergraduate PSTs and focused on SSI-based teaching. A total of 38 PSTs took the course, and all of them participated to the study voluntarily. The 14-week course was structured in two main phases. In Phase 1, PSTs investigated the theoretical and conceptual foundations of SSI, such as socioscientific reasoning, interdisciplinary science instruction, the nature of science, and argumentation. In Phase 2, PSTs collaborated to develop and implement SSI-based lesson plans. Each group conducted a 90-minute microteaching session centered on an SSI (such as vaccinations, GMOs, or nuclear energy). This approach enabled the integration of theory and practice while also demonstrating how curriculum design thinking changed over time. Throughout the semester, PSTs were required to finish a curriculum design task three times: at the beginning, middle, and end of the course. The curriculum design task, adapted from Leung (2022), was implemented three times throughout the course and included three parts: (1) identifying five key components of the science curriculum, (2) justifying these selections, and (3) generating a science curriculum visualization. The participants' responses in all three parts were used to assign each PST to one of three teacher profiles. PSTs assigned the Profile A (traditional) when their responses represented content-driven and discipline-based thinking with linear curriculum models. PSTs’ responses in Profile B (interdisciplinary) reflected circular structures and incorporated inquiry and skill development. Finally, in Profile C (transdisciplinary), PSTs’ responses represented multidirectional models that emphasized ethical reasoning, real-life connections, and integration of SSI. The PSTs were not encouraged to integrate characteristics of SSI teaching in their curriculum design. They decided whether to include SSI or not. Curriculum visualizations were analyzed based on structural patterns: linear models followed a sequential path; circular models showed looping or cyclical relationships; and multidirectional models illustrated complex, non-linear interactions connecting scientific, societal, and ethical dimensions. Each PST completed the design task three times, producing a total of 114 tasks. The selection of curriculum components was coded into categories (e.g., science content, interdisciplinary, SSI), and frequencies were calculated to observe shifts over time. These shifts revealed a change in beliefs from Profile A toward Profile C. In addition to profile transitions, changes in selected components added or removed were also tracked throughout the course. Conclusions, Expected Outcomes or Findings Profile A is indicated by the components of science content and science process skills, Profile B is indicated by the integration of SSI, interdisciplinary, and science process skills components, and Profile C is indicated by the integration of SSI, science content, and interdisciplinary components. Additional elements had been added in addition to the essential ones. These are problem-based learning, laboratory approach, ethical issues, moral issues, higher order thinking skills, open-ended questions, creativity, meaningful learning, assessment through argumentation, direct teaching, and connection with real life. Furthermore, the three models of curricular visualizations were analyzed in linear, circular, and multidirectional approaches to better observe the changes between teacher profiles. In terms of Profile A, the most frequently seen model in the initial implementation of the curriculum design task was a linear model. Unlike the first application, the multidirectional model was more frequently seen in the second one. Similar to the second application, the third application's most popular model was the multidirectional model. This visual change indicated a more adaptable and holistic approach among PSTs. Considering Profile B, throughout the process, the circular model remained unchanged. The multidirectional model showed an apparent increase, but the linear model showed a drop and a continuous shift. Regarding Profile C, as the number of circular and multidirectional models among these models increased over the course, the frequency of linear models declined. The number of Profile A students dropped during SSI-based instruction, while the number of Profile C students rose. This pattern suggests that SSI-based instruction influenced PSTs to move beyond traditional curriculum structures. The results of the curriculum design tasks showed that, although the majority of PSTs had a traditional view at the start of the SSI-based instruction, they had more Profile Cs than Profile A and Profile B by the completion of the instruction. References Creswell, J. W. (2002). Educational Research. Planning, Conducting, and Evaluating Quantitative and Qualitative Research (Fourth Edition). London: Pearson Education. Creswell, J.W. (2013) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (Fourth Edition). SAGE Publications, Inc., London. Hodson, D. (2020). Going beyond STS education: Building a curriculum for sociopolitical activism. Canadian Journal of Science, Mathematics and Technology Education, 20(4), 592–622. https://doi.org/10.1007/s42330-020-00114-6 Kara, Y. (2012). Pre-service biology teachers’ perceptions on the instruction of socioscientific issues in the curriculum. European Journal of Teacher Education, 35(1), 111–129. https://doi.org/10.1080/02619768. 2011.633999. Kilinc, A., Watt, H., & Richardson, P. (2012). Factors influencing teaching choice in Turkey. Asia-Pacific Journal of Teacher Education, 40(3), 199–226. https://doi.org/10.1080/1359866X.2012.700048 Leung, J. S. C. (2022). Shifting the teaching beliefs of preservice science teachers about socioscientific issues in a teacher education course. International Journal of Science and Mathematics Education, 20(4), 659–682. https://doi.org/10.1007/s10763-021-10177-y Leung, J. S. C., Wong K. L., & Chan, K. K. H. (2020). Pre-service secondary science teachers’ beliefs about teaching socio-scientific issues. In J. Dillon, M. Evagorou & J. A. Nielsen (Eds.), Science teacher education for responsible citizenship (pp. 21–39). Springer. https://doi.org/10.1007/978-3-030-40229- 7_3. Roberts, D., & Bybee, R. (2014). Scientific literacy, science literacy and science education. In N. G. Lederman, & S. K. Abell, Handbook of Research on Science Education (pp. 545-558). New York: Routledge. Sadler, T. D. (2004). Informal reasoning regarding socioscientific issues: A critical review of research. Journal of Research in Science Teaching, 41(5), 513–536. https://doi.org/10.1002/tea.20009 Stake, R. E. (2000). Case Studies. In N. K. Denzin, & Y. S. Lincoln (Eds.), Handbook of qualitative research (pp. 435-453). Thousand Oaks, CA: Sage. Tidemand, S., & Nielsen, J. (2016). The role of socioscientific issues in biology teaching: From the perspective of teachers. International Journal of Science Education, 39(1), 1–18. https://doi.org/10.1080/09500693.2016.1264644 Yin, R. (2014). Case study research: Design and methods (5th ed.). Thousand Oaks, CA: Sage Publications, Inc. Zeidler, D. L., Applebaum, S. M., & Sadler, T. D. (2011). Enacting a socioscientific issues classroom: Transformative transformations. In T. D. Sadler (Ed.), Socioscientific issues in the classroom (pp. 277– 305). Springer. Zeidler, D. L., Sadler, T. D., Simmons, M. L., & Howes, E. V. (2005). Beyond STS: A research based framework for socioscientific issues education. Science Education, 89(3), 357–377. https://doi.org/10.1002/sce.20048 Zeidler, D., & Nichols, B. (2009). Socioscientific issues: Theory and practice. Journal of Elementary Science Education, 21(2), 49–58. https://doi.org/10.1007/BF03173684 03. Curriculum Innovation
Paper The Role of the Body: Looking Closely at How Elementary Students Engage with Science Practices East China Normal University, China Presenting Author:Research has not established a clear relationship between laboratory experiences and student learning (Hofstein & Mamlok-Naaman, 2007), nor have popular learning theories of the past few decades demonstrated a necessary or rational connection between body and mind (Roth, 2018). Reflecting on the limitations of stylized laboratory work and traditional "hands-on" learning, science education now views authentic scientific practice as the ideal framework (García-Carmona, 2020; NGSS Lead States, 2013), advocating that students should reason and act like scientists (Ford, 2015). However, while the field emphasizes balancing "conceptual, epistemic, and social" learning goals (Duschl, 2008), substantial research has focused on the mechanisms of "thinking processes and verbal interactions"—such as argumentation and explanation (Newton et al., 1999; Tang et al., 2020)—while paying little attention to the heavily embodied aspect of "doing science." Consequently, while the field has effectively answered how students "think" and "speak," it has largely overlooked the equally important question of "how they do"—that is, how the student's body engage with science practices. This oversight may stem from historical scientific, philosophical, and cultural traditions that privilege "reason" and perpetuate a mind-body dualism (Almqvist & Quennerstedt, 2015; Alsop, 2011; Hardahl, 2019). When discussing science, associations are more readily made with "mind," "logic," and "truth" rather than "body," "emotion," and "process." Educators often ignore bodily engagement or view "doing" merely as evidence for conceptual learning, while researchers tend to emphasize disembodied and immaterial aspects of learning (Kersting et al., 2024; Ross, 2004). Yet, can school science truly "liberate the mind from the body to see the world as it is" (Descartes, 1990)? In doing and learning science, bodily participation in the material and socio-cultural world is ubiquitous (Kersting et al., 2024). Studies in the philosophy of science and anthropology emphasize that bodily engagement is indispensable in core scientific practices such as producing phenomena, experimentation, and engineering (Goodwin, 1997; Hardahl et al., 2019). Beyond book knowledge, a scientist requires the personal understanding that comes only from rich, focused sensory experience; their senses must be sharpened, and their hands disciplined (Sibum, 2004). Indeed, scientific epistemology can be described as performative (Pickering, 2010). Empirical studies confirm that, like scientists, the body plays a crucial role in students' observational and experimental practices (Almqvist & Quennerstedt, 2015; Hardahl, 2019; Kersting et al., 2021; Orlander & Wickman, 2011). As Jaber and Hammer (2016) note, while there is growing attention to engaging students in scientific practice, "there is much to learn about how students step into and sustain those practices." Therefore, this study adopts a student-centered and process-oriented perspective to examine "how they do" through the lens of the body. It aims to open the "black box" of the body in "practicing like a scientist," expanding our understanding of the body's role and significance in science education (Kersting et al., 2024), and deepening insights into what can be learned within the act of "doing." In school science, the body is often presented as an invisible locus of learning (Alsop, 2011), an object to be disciplined, rather than a source of meaning-making. However, phenomenologically, the body is our primary perspective on the world, the zero-point that gives meaning to all other coordinates (Zahavi, 2019), not an object we observe from a perspective. This study posits the student's body as the source of meaning-making—the zero-point—rather than an object or isolated coordinate, thereby avoiding dualistic traps. As Merleau-Ponty (2013) states, to understand a subject, we must seek it not in its pure form, but at the intersection of its dimensions. Starting from the body as the zero-point, we uncover its intersecting dimensions: tacit knoing, mind, speech, affect. Methodology, Methods, Research Instruments or Sources Used Adopting Spradley’s (2016) metaphor of the interpretivist "explorer" rather than the positivist "petroleum engineer," I entered the field without a rigid coding framework. Instead, I sought to describe the people and events observed in classroom life, utilizing a theoretical lens to reveal what students experience during the process of "doing" and how the body becomes meaningful (Hardahl, 2019). Specifically, "bodily engagement" is defined here as how the student's body interacts with scientific apparatus, acknowledging the apparatus as an "actor" that influences interactions. This definition deliberately excludes general somatic activities such as reading or writing. Data were collected from 75 science lessons (Grades 1–5) across three public primary schools in District X, City S—a developed eastern coastal region of China known for its high educational standards. The dataset comprises 125 episodes of student bodily engagement, triangulated with teacher interviews, textual artifacts, and scientific narratives to achieve data saturation. The study employs a situated, narrative approach aiming for "ethnographically adequate description" (McDermott, 1987). This involves detailing: (1) how participants construct their context; (2) how they organize body postures to activate this context; (3) how they coordinate behaviorally to integrate into others' contexts; and (4) how they hold each other accountable within that context. Methodologically, we utilized Interaction Analysis (Jordan & Henderson, 1995) and Erickson’s (2006) "whole-to-part" inductive strategy for video analysis. The procedure included: (1) continuous viewing for immersion; (2) identifying themes and participation structures; (3) detailed multimodal transcription of core episodes; (4) identifying mechanisms; (5) conducting video-cued interviews (Tobin et al., 1989); and (6) checking for representativeness. To address the challenge of translating visual meanings into text (Goodwin, 2007; Vossoughi et al., 2020), the analysis combines written narrative with visual depictions to highlight moments of embodied interaction. Conclusions, Expected Outcomes or Findings Viewing the body as the "zero-point," this study identifies four dimensions of the body’s role: the body in tacit learning, the body linking speech, the body as a clue to the mind, and the affective body. Specifically, we identified 15 roles of bodily engagement in scientific practice, such as "the body in focal awareness," "action speaking louder than words," "the body producing new phenomena," "the empathetic body," and "the frustrated body when unable to do science." First, the study challenges the tradition of "propositional knowledge" and its verbal assumptions. It highlights "tacit cognition" within the practice/body turn, using classroom examples to show how students learn "how to do" tacitly when practicing like scientists. Second, as students do science together, their bodies are often "speaking." This involves immediate sharing of bodily sensations, failures during multi-body participation lacking verbal explanation, or producing visible phenomena to persuade others when words fail. Thus, bodily engagement bridges the plural scientific practices of observation, experimentation, explanation construction, argumentation, and evaluation. Third, through case studies, we demonstrate that while body and mind are distinct, they are not separate. Bodily engagement serves as a clue to the mind in science learning, revealing the bodily roots of knowledge and how the mind inhabits the body. Finally, we show that the affective presence of the body is a crucial manifestation of practicing like a scientist. We explore its significance beyond the official curriculum script, including the embodied frustration students experience when "doing science." Overall, the study suggests that the significance of bodily engagement lies in introducing uncertainty, learning to "think" and "speak" within "doing," and allowing students to manifest intelligence, interact with others, and "exist" in the world through action. References Almqvist, J., & Quennerstedt, M. (2015). Is there (any) body in science education? Interchange, 46, 439–453. Alsop, S. (2011). The body bites back! Cultural Studies of Science Education, 6, 611–623. Ford, M. J. (2015). Educational implications of choosing "practice" to describe science in the Next Generation Science Standards. Science Education, 99(6), 1041–1048. Goodwin, C. (2007). Participation, stance and affect in the organization of activities. Discourse & Society, 18(1), 53–73. Hardahl, L. K. (2019). Bodies in science education: A videographic study [Doctoral dissertation, Aalborg University]. Aalborg Universitetsforlag. Hardahl, L. K., Wickman, P.-O., & Caiman, C. (2019). The body and the production of phenomena in the science laboratory: Taking charge of a tacit science content. Science & Education, 28(8), 865–895. Hofstein, A., & Mamlok-Naaman, R. (2007). The laboratory in science education: The state of the art. Chemistry Education Research and Practice, 8(2), 105–107. Jaber, L. Z., & Hammer, D. (2016). Learning to feel like a scientist. Science Education, 100(2), 189–220. Jordan, B., & Henderson, A. (1995). Interaction analysis: Foundations and practice. The Journal of the Learning Sciences, 4(1), 39–103. Kersting, M., Amin, T. G., Euler, E., & Gregorcic, B. (2024). What is the role of the body in science education? A conversation between traditions. Science & Education, 33(5), 1171–1210. Kersting, M., Haglund, J., & Steier, R. (2021). A growing body of knowledge: On four different senses of embodiment in science education. Science & Education, 30(5), 1183–1210. Orlander, A. A., & Wickman, P.-O. (2011). Bodily experiences in secondary school biology. Cultural Studies of Science Education, 6, 569–594. Pickering, A. (2010). The mangle of practice: Time, agency, and science. University of Chicago Press. Ross, J. (2004). The instructable body: Student bodies from classrooms to prisons. In L. Bresler (Ed.), Knowing bodies, moving minds: Towards embodied teaching and learning (pp. 169–181). Springer. Roth, W.-M. (2018). Thinking with Spinoza about 'hands-on' learning. Educational Philosophy and Theory, 50(9), 839–848. Sibum, H. O. (2004). What kind of science is experimental physics? Science, 306(5693), 60–61. Tang, X., Elby, A., & Hammer, D. (2020). The tension between pattern‐seeking and mechanistic reasoning in explanation construction: A case from Chinese elementary science classroom. Science Education, 104(6), 1071–1099. Vossoughi, S., Jackson, A., Chen, S., Roldan, W., & Escudé, M. (2020). Embodied pathways and ethical trails: Studying learning in and through relational histories. Journal of the Learning Sciences, 29(2), 183–223. Zahavi, D. (2019). Phenomenology: The basics. Routledge. | ||
