RESEARCH PAPER
Models and Modelling: Science Teachers’ Perceived Practice and Rationales in Lower Secondary School in the Context of a Revised Competence-Oriented Curriculum
 
More details
Hide details
1
University College Copenhagen, DENMARK
 
2
Department of Science Education, University of Copenhagen, DENMARK
 
 
Publication date: 2021-03-19
 
 
EURASIA J. Math., Sci Tech. Ed 2021;17(4):em1954
 
KEYWORDS
ABSTRACT
As part of curriculum reforms, models and modelling (MoMo) are playing an increasingly prominent role in science education. Through a questionnaire study, this paper investigates lower secondary school teachers’ (n = 246) perceived practices of, rationales behind, and possibilities for working with MoMo in the context of the revised science curriculum. Our findings suggest that: (1) teachers prioritize the subject-specific knowledge embedded in models over and above the modelling process and meta-knowledge; (2) teachers prioritize engaging students in MoMo activities for descriptive rather than predictive purposes; (3) the process of designing, evaluating and revising models based on students’ own inquiry only plays a minor role in teachers’ practice and; (4) a content-heavy curriculum and multiple-choice exam are counterproductive to teachers’ efforts to implement a more competence-oriented approach to MoMo. Our study also sheds light on, and discusses implications for, how to enhance teachers’ possibilities of teaching for modelling-competence.
REFERENCES (49)
1.
Baek, H., & Schwarz, C. V. (2015). The Influence of Curriculum, Instruction, Technology, and Social Interactions on Two Fifth-Grade Students’ Epistemologies in Modeling Throughout a Model-Based Curriculum Unit. Journal of Science Education and Technology, 24(2-3), 216-233. https://doi.org/10.1007/s10956....
 
2.
Berland, L. K., Schwarz, C. V., Krist, C., Kenyon, L., Lo, A. S., & Reiser, B. J. (2016). Epistemologies in practice: Making scientific practices meaningful for students. Journal of Research in Science Teaching, 53(7), 1082-1112. https://doi.org/10.1002/tea.21....
 
3.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/147808....
 
4.
Campbell, T., & Oh, P. S. (2015). Engaging students in modeling as an epistemic practice of science. Journal of Science Education and Technology, 24(2-3), 125-131. https://doi.org/10.1007/s10956....
 
5.
Campbell, T., Oh, P. S., Maughn, M., Kiriazis, N., & Zuwallack, R. (2015). A review of modeling pedagogies: Pedagogical functions, discursive acts, and technology in modeling instruction. Eurasia Journal of Mathematics, Science and Technology Education, 11(1), 159-176. https://doi.org/10.12973/euras....
 
6.
Crawford, B. A., & Cullin, M. J. (2004). Supporting prospective teachers’ conceptions of modelling in science. International Journal of Science Education, 26(11), 1379-1401. https://doi.org/10.1080/095006....
 
7.
Crujeiras, B., & Jiménez-Aleixandre, M. P. (2013). Challenges in the implementation of a competency-based curriculum in Spain. Thinking Skills and Creativity, 10, 208-220. https://doi.org/10.1016/j.tsc.....
 
8.
Dolin, J., Bruun, J., Nielsen, S. S., Jensen, S. B., & Nieminen, P. (2018). The Structured Assessment Dialogue. In J. Dolin & R. Evans (Ed.), Transforming Assessment: Through an Interplay Between Practice, Research and Policy - Contributions from Science Education Research (vol. 4, pp. 109-140). Springer, Cham. https://doi.org/10.1007/978-3-....
 
9.
Dolin, J., Nielsen, J. A., & Tidemand, S. (2017). Evaluering af naturfaglige kompetencer [Assessment of scientific competences]. Acta Didactica Norge - nasjonalt tidsskrift for fagdidaktisk forsknings- og utviklingsarbeid, 11(3), 1-28. [In Danish]. https://doi.org/10.5617/adno.4....
 
10.
Gilbert, J. K., & Justi, R. (2016). Modelling-based teaching in science education. Switzerland: Springer.
 
11.
Gouvea, J., & Passmore, C. (2017). ‘Models of’ versus ‘Models for’: Toward an Agent-Based Conception of Modeling in the Science Classroom. Science and Education, 26(1-2), 49-63. https://doi.org/10.1007/s11191....
 
12.
Gray, R., & Rogan-Klyve, A. (2018). Talking modelling: examining secondary science teachers’ modelling-related talk during a model-based inquiry unit. International Journal of Science Education, 40(11), 1345-1366. https://doi.org/10.1080/095006....
 
13.
Hodson, D. (2014). Learning science, learning about science, doing science: Different goals demand different learning methods. International Journal of Science Education, 36(15), 2534-2553. https://doi.org/10.1080/095006....
 
14.
Janssen, F., Westbroek, H., & Doyle, W. (2014). The practical turn in teacher education: Designing a preparation sequence for core practice frames. Journal of Teacher Education, 65(3), 195-206. https://doi.org/10.1177/002248....
 
15.
Justi, R. S., & Gilbert, J. K. (2002). Science teachers’ knowledge about and attitudes towards the use of models and modelling in learning science, International Journal of Science Education, 24(12), 1273-1292. https://doi.org/10.1080/095006....
 
16.
Khan, S. (2011). What’s Missing in Model-Based Teaching. Journal of Science Teacher Education, 22(6), 535-560. https://doi.org/10.1007/s10972....
 
17.
Kind, P., & Osborne, J. (2017). Styles of scientific reasoning: A cultural rationale for science education? Science Education, 101(1), 8-31. https://doi.org/10.1002/sce.21....
 
18.
Krell, M., & Krüger, D. (2016). Testing Models: A Key Aspect to Promote Teaching Activities Related to Models and Modelling in Biology Lessons? Journal of Biological Education, 50(2), 160-173. https://doi.org/10.1080/002192....
 
19.
Krell, M., Reinisch, B., & Krüger, D. (2015). Analyzing students’ understanding of models and modeling referring to the disciplines biology, chemistry, and physics. Research in Science Education, 45(3), 367-393. https://doi.org/10.1007/s11165....
 
20.
Lehrer, R., & Schauble, L. (2015). The development of scientific thinking. In L. S. Liben, U. Müller, & R. M. Lerner (Eds.), Handbook of child psychology and developmental science: Cognitive processes (pp. 671-714). John Wiley & Sons, Inc. https://doi.org/10.1002/978111....
 
21.
Lin, J. W. (2014). Elementary School Teachers’ Knowledge of Model Functions and Modeling Processes: A Comparison of Science and Non-Science Majors. International Journal of Science and Mathematics Education, 12(5), 1197-1220. https://doi.org/10.1007/s10763....
 
22.
Miller, A. R., & Kastens, K. A. (2018). Investigating the impacts of targeted professional development around models and modeling on teachers’ instructional practice and student learning. Journal of Research in Science Teaching, 55(5), 641-663. https://doi.org/10.1002/tea.21....
 
23.
Ministry of Education (2014). Fælles Mål, Biologi [Common Objectives Biology]. [In Danish].
 
24.
National Research Council (NRC) (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. National Academies Press. https://doi.org/10.17226/13165.
 
25.
Nicolaou, C. T., & Constantinou, C. P. (2014). Assessment of the modeling competence: A systematic review and synthesis of empirical research. Educational Research Review, 13, 52-73. https://doi.org/10.1016/j.edur....
 
26.
Nielsen, J. A., Dolin, J., & Tidemand, S. (2018). Transforming assessment research: recommendations for future research. In J. Dolin, & R. Evans (Ed.), Transforming Assessment: Through an Interplay Between Practice, Research and Policy - Contributions from Science Education Research (vol. 4, pp. 279-290). Springer, Cham. https://doi.org/10.1007/978-3-....
 
27.
Nielsen, S. S. (2015). Fælles Mål og modelleringskompetence i biologiundervisningen – forenkling nødvendiggør fortolkning [The common curriculum goals and modelling competence in biology teaching - simplification calls for interpretation]. MONA, 4, 25-43. [In Danish].
 
28.
Nielsen, S. S. (2018). Prospects and challenges in teachers’ adoption of a new modeling orientated science curriculum in lower secondary school in Denmark. In Electronic Proceedings of the ESERA Conference (pp. 1333-1344). ESERA Conference Proceedings Series.
 
29.
Nielsen, S. S., & Nielsen, J. A. (2019). A competence-oriented approach to models and modelling in lower secondary science education: Practices and rationales among Danish teachers. Research in Science Education, 1-29. https://doi.org/10.1007/s11165....
 
30.
Nielsen, S. S., Dolin, J., Bruun, J., & Jensen, S. B. (2018). The design and implementation of an assessment method combining formative and summative use of assessment. Electronic Proceedings of the ESERA 2017 Conference: Research, Practice and Collaboration in Science Education (pp. 1468-1479). ESERA Conference Proceedings series.
 
31.
OECD. (2017). PISA 2015 Assessment and analytical framework: Science, reading, mathematic, financial literacy and collaborative problem solving (Revised edition). OECD Publishing. https://doi.org/10.1787/978926....
 
32.
OECD. (2019). OECD Future of Education and Skills 2030. OECD: Learning Compass 2030. A series of Concept Notes. OECD Publishing.
 
33.
Oh, P. S., & Oh, S. J. (2011). What teachers of science need to know about models: An overview. International Journal of Science Education, 33(8), 1109-1130. https://doi.org/10.1080/095006....
 
34.
Papaevripidou, M., Nicolaou, C. T., & Constantinou, C. P. (2014). On Defining and Assessing Learners’ Modeling Competence in Science Teaching and Learning. Annual Meeting of American Educational Research Association (AERA).
 
35.
Passmore, C., Gouvea, J. S., & Giere, R. (2014). Models in science and in learning science: Focusing scientific practice on sense-making. In M. R. Matthews (Ed.), International Handbook of Research in History, Philosophy and Science Teaching (pp. 1171-1202). Springer. https://doi.org/10.1007/978-94....
 
36.
Passmore, C., Stewart, J., & Cartier, J. (2009). Model-based inquiry and school science: Creating connections. School Science and Mathematics, 109(7), 394-402. https://doi.org/10.1111/j.1949....
 
37.
Razali, N. M., & Wah, Y. B. (2011). Power comparisons of Shapiro-Wilk, Kolmogorov- Smirnov, Lilliefors and Anderson-Darling tests. Journal of Statistical Modeling and Analytics, 2(1), 21-33.
 
38.
Rey, D., & Neuhäuser, M. (2011). Wilcoxon-Signed-Rank Test. In M. Lovric (Ed.), International Encyclopedia of Statistical Science (pp. 1658-1659). Springer Berlin Heidelberg.
 
39.
Rönnebeck, S., Nielsen, J.A., Olley, C., Ropohl, M., & Stables, K. (2018) The teaching and assessment of inquiry competences. In: J. Dolin & R. Evans (Ed.), Transforming Assessment. Contributions from Science Education Research (vol. 4, pp. 27-52). Springer, Cham.
 
40.
Schwarz, C. V., & White, B. Y. (2005) Metamodeling Knowledge: Developing Students’ Understanding of Scientific Modeling. Cognition and Instruction, 23(2), 165-205. https://doi.org/10.1207/s15326....
 
41.
Schwarz, C. V., Reiser, B. J., Davis, E. A., Kenyon, L., Achér, A., Fortus, D., Schwartz, Y., Hug, B., & Krajcik, J. (2009). Developing a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learners. Journal of Research in Science Teaching, 46(6), 632-654. https://doi.org/10.1002/tea.20....
 
42.
Svoboda, J., & Passmore, C. (2013). The strategies of modeling in biology education. Science & Education, 22(1), 119-142. https://doi.org/10.1007/s11191....
 
43.
Treagust, D. F., Chittleborough, G. D., & Mamiala, T. L. (2004). Students’ understanding of the descriptive and predictive nature of teaching models in organic chemistry. Research in Science Education, 34(1), 1-20. https://doi.org/10.1023/B:RISE....
 
44.
Van Der Valk, T., Van Driel, J. H., & De Vos, W. (2007). Common characteristics of models in present-day scientific practice. Research in Science Education, 37(4), 469-488. https://doi.org/10.1007/s11165....
 
45.
Van Driel, J. H., & Verloop, N. (1999). Teachers’ knowledge of models and modelling in science. International Journal of Science Education, 21(11), 1141-1153. https://doi.org/10.1080/095006....
 
46.
Van Driel, J. H., & Verloop, N. (2002). Experienced teachers’ knowledge of teaching and learning of models and modelling in science education. International Journal of Science Education, 24(12), 1255-1272. https://doi.org/10.1080/095006....
 
47.
Vo, T., Forbes, C. T., Zangori, L., & Schwarz, C. V. (2015). Fostering third-grade students’ use of scientific models with the water cycle: Elementary teachers’ conceptions and practices. International Journal of Science Education, 37(15), 2411-2432. https://doi.org/10.1080/095006....
 
48.
Windschitl, M., & Thompson, J. (2006). Transcending Simple Forms of School Science Investigation: The Impact of Preservice Instruction on Teachers’ Understandings of Model-Based Inquiry. American Educational Research Journal, 43(4), 783-835. https://doi.org/10.3102/000283....
 
49.
Windschitl, M., Thompson, J., & Braaten, M. (2008). Beyond the scientific method: Model‐based inquiry as a new paradigm of preference for school science investigations. Science Education, 92(5), 941-967. https://doi.org/10.1002/sce.20....
 
eISSN:1305-8223
ISSN:1305-8215
Journals System - logo
Scroll to top