PROMOTING METACOGNITION IN CLASS. USE OF MODEL ELICITING ACTIVITIES AND REVERSE ENGINEERING IN INITIAL TEACHER TRAINING
Abstract
The contribution reflects on the need for teacher training to promote metacognitive skills in the classroom. The sample is composed of 110 teachers from the teacher training courses outlined in the DPCM 4/08/2023. We gave them Model-Eliciting Activities whose structural elements had to be identified through reverse engineering. The hypothesis we aim to test is whether collaborative and metacognitive reflection on MEAs could improve teachers' self-regulation and sense of self-efficacy
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Almeida, P., & Alves Lopes, A. (2023). The use of reverse engineering concept to develop education. Retrieved from http://hdl.handle.net/10400.26/47149
Arianto, F., & Hanif, M. (2024). Evaluating metacognitive strategies and self-regulated learning to predict primary school students self-efficacy and problem-solving skills in science learning. Journal of Pedagogical Research, 3. DOI:10.33902/JPR.202428575
Azevedo, R., & Cromley, J. G. (2004). Does Training on Self-Regulated Learning Facilitate Students’ Learning With Hypermedia? Journal of Educational Psychology, 96(3), 523–535. DOI:10.1037/0022-0663.96.3.523
Battaglia, M. V., & Melchiori, F. M. (2025). Enhancing Teacher Self-Efficacy through Self-Regulated Learning and Visualisation Strategies: A Pilot Study in Initial Teacher Education. 1.
Bongers, A., Northoff, G., & Flynn, A. B. (2019). Working with mental models to learn and visualize a new reaction mechanism. Chemistry Education Research and Practice, 20(3), 554–569. DOI:10.1039/C9RP00060G
Brenner, C. A. (2022). Self-regulated learning, self-determination theory and teacher candidates’ development of competency-based teaching practices. Smart Learning Environments, 9(1), 3. DOI:10.1186/s40561-021-00184-5
Cappelen, H., & Plunkett, D. (2020). Introduction: A Guided Tour of Conceptual Engineering and Conceptual Ethics. In A. Burgess, H. Cappelen, & D. Plunkett (Eds.), Conceptual Engineering and Conceptual Ethics (1ª ed., 1–34). Oxford: University Press. DOI:10.1093/oso/9780198801856.003.0001
Clement J., Rea-Ramirez M.A. (2008). Model Based Learning and instruction in science. New York: Springer
Diefes-Dux, H., Capobianco, B., Zawojewski, J., Hjalmarson, M., Imbrie, P.K., & Follman, D. (2004). Model Eliciting Activities: An In Class Approach To Improving Interest And Persistence Of Women In Engineering. 2004 Annual Conference Proceedings, 9.919.1-9.919.15. DOI:10.18260/1-2--12973
Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: The MASRL model. Educational Psychologist, 46(1), 6–25. DOI:10.1080/00461520.2011.538645
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906–911. DOI:10.1037/0003-066X.34.10.906
Garfield, J., delMas, R., & Zieffler, A. (2009). Inventing and Testing Models: Using Model-Eliciting Activities. Retrieved 17 aprile 2025 from https://serc.carleton.edu
Gentner, D. (2002). Mental Models, Psychology of. In N.J. Smelser & P.B. Bates (Eds.) International Encyclopedia of the Social & Behavioral Sciences (9683–9687). Amsterdam: Elsevier Science. DOI:10.1016/B0-08-043076-7/01487-X
Gentner, D., & Stevens, A. L. (Eds.). (2014). Mental Models. Psychology Press. DOI:10.4324/9781315802725
Giere R. (2004), How models are used to represent reality. Philosophy of Science, 71, 742-52.
Greca, I. M., & and Moreira, M. A. (2000). Mental models, conceptual models, and modelling. International Journal of Science Education, 22(1), 1–11. DOI:10.1080/095006900289976
Greene, J. A. (2018). Self-regulation in education. In D.H. Schunk & J.A. Greene (Eds.), Handbook of self-regulation of learning and performance (2nd ed., 129–141). New York: Routledge.
Hadwin, A. F., Järvelä, S., & Miller, M. (2011). Self-regulated, co-regulated, and socially shared regulation of learning. In B. J. Zimmerman & D. H. Schunk (Eds.), Handbook of self-regulation of learning and performance (65–84). New York: Routledge.
Hamilton, E. (2008). Model-Eliciting Activities (MEAs) as a Bridge Between Engineering Education Research and Mathematics Education Research. AEE Journal 1(2).
Johnson-Laird P.N. (2005), Mental Models and Thought. In K.J. Holyoak, R.G. Morrison (Eds.), The Cambridge Handbook of Thinking and Reasoning (185-208). Cambridge: University Press.
Johnson-Laird, P. N. (1983). Mental Models: Towards a Cognitive Science of Language, Inference, and Consciousness. Harvard University Press.
Johnson-Laird P.N., & Khemlani S. (2014), Toward a unified theory of reasoning. Psychology of Learning and Motivation, 59, 1-42.
Karlen, Y., Hirt, C. N., Jud, J., Rosenthal, A., & Eberli, T. D. (2023). Teachers as learners and agents of self-regulated learning: The importance of different teachers competence aspects for promoting metacognition. Teaching and Teacher Education, 125, 104055. DOI:10.1016/j.tate.2023.104055
Lajoie, S. P. (2008). Metacognition, Self Regulation, and Self-regulated Learning: A Rose by any other Name? Educational Psychology Review, 20(4), 469–475. DOI:10.1007/s10648-008-9088-1
Lesh, R. & Zawojewski, J.S. (2007) Problem Solving and Modeling. In:
Lester, F., Ed., Second Handbook of Research on Mathematics Teaching and Learning, Information Age Publishing, Greenwich, CT, 763-802.
Lesh, R., & Harel, G. (2003). Problem Solving, Modeling, and Local Conceptual Development. Mathematical Thinking and Learning, 5. DOI:10.1207/S15327833MTL0502&3_03
Lesh, R., Hoover, M., Hole, B., Kelly, A., & Post, T. R. (2000). Principles for Developing Thought- Revealing Activities for Students and Teachers. In A. Kelly & R. Lesh (Eds.), Research Design in Mathematics and Science Education (591–646). Lawrence Erlbaum Associates, Inc.
MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000). Equivalence of the mediation, confounding and suppression effect. Prevention Science, 1(4), 173–181. DOI:10.1023/A:1026595011371
McCrudden, M. T., & Rapp, D. N. (2017). How Visual Displays Affect Cognitive Processing. Educational Psychology Review, 29(3), 623–639. DOI:10.1007/s10648-015-9342-2
Moore, T., Self, B., Hjalmarson, M., Zawojewski, J., Olds, B., Miller, R., Diefes-Dux, H., & Lesh, R. (2010). Special Session: Model Eliciting Activities: A Construct For Better Understanding Student Knowledge And Skills. 2010 Annual Conference & Exposition Proceedings, 15.1085.1-15.1085.14. DOI:10.18260/1-2--16662
Moos, D.C., & Ringdal, A. (2012). Self-regulated learning in the classroom: A literature review on the teacher’s role. Education Research International, 1-15.
Novak, J.D. & Cañas, A.J. (2008). The Theory Underlying Concept Maps and How to Construct and Use Them, Technical Report IHMC CmapTools 2006-01 Rev 01-2008. Florida Institute for Human and Machine Cognition.
Nowack, P., & Caspersen, M.E. (2014). Model-based thinking and practice: a top-down approach to computational thinking. In Proceedings of the 14th Koli Calling International Conference on Computing Education Research, Koli Calling '14, 147-151. Association for Computing Machinery
Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8. DOI:10.3389/fpsyg.2017.00422
Pane, N., Syahputra, E., & Mulyono, M. (2017). Model-Eliciting Activities Approach as a Tool to Improve Creative Thinking Skills and Self-Confidence. Proceedings of the 2nd Annual International Seminar on Transformative Education and Educational Leadership (AISTEEL 2017). DOI:10.2991/aisteel-17.2017.85
Peeters, J., De Backer, F., Reina, V. R., Kindekens, A., Buffel, T., &
Lombaerts, K. (2014). The role of teachers’ self-regulatory capacities in the implementation of self-regulated learning practices. Procedia-Social and Behavioral Sciences, 116, 1963-1970.
Pertamawati, L., & Retnowati, E. (2019). Model-Eliciting Activities: Engaging students to make sense of the world. Journal of Physics: Conference Series, 1200, 012003. DOI:10.1088/1742-6596/1200/1/012003
Pintrich, P. R. (2002). The Role of Metacognitive Knowledge in Learning, Teaching, and Assessing. Theory Into Practice, 41(4), 219–225.
DOI:10.1207/s15430421tip4104_3
Pintrich, P. R., & Zusho, A. (2002). The development of academic self-regulation: The role of cognitive and motivational factors. In A.
Wigfield & J. S. Eccles (Eds.), Development of achievement motivation (249–284). Academic Press.
DOI:10.1016/B978-012750053-9/50012-7
Pintrich, P.R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International Journal of Educational Research, 31, 459–470.
Queloz, M. (2021). The Practical Origins of Ideas: Genealogy as Conceptual Reverse-Engineering (1a ed.). Oxford: Oxford University Press.
DOI:10.1093/oso/9780198868705.001.0001
Ritchhart, R., & Perkins, D. (2008). Making thinking visible. Educational Leadership, 65, 57–61.
Schraw, G., & Dennison, R.S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19(4), 460-475.
Schraw, G., Crippen, K.J., & Hartley, K. (2006). Promoting self-regulation in science education: Metacognition as part of a broader perspective on learning. Research in Science Education, 36(1-2), 111-139.
Seel N.M. (2017). Model-based Learning: A Synthesis of Theory and Research. Educational Technology Research and Development, 65(4), 931-966.
Seel, N. M. (2006). Mental Models in Learning Situations. In C. Held, M. Knauff, & G. Vosgerau (Eds.), Mental models and the mind: Current developments in cognitive psychology, neuroscience, and philosophy of mind. Elsevier.
Seel, N.M. (2003). Model-Centered Learning and Instruction. Tech., Inst., Cognition and Learning, 1, 59-85.
Thomasson, A. L. (2020). A Pragmatic Method for Normative Conceptual Work. In A. Burgess, H. Cappelen, & D. Plunkett (Eds.), Conceptual Engineering and Conceptual Ethics (1ª ed., 435–458). Oxford: Oxford University Press. DOI:10.1093/oso/9780198801856.003.0021
Treur, J. (2021). An adaptive network model covering metacognition to control adaptation for multiple mental models. Cognitive Systems Research, 67, 18–27. DOI:10.1016/j.cogsys.2020.11.005
Treur, J. (2022). Controlling Your Mental Models: Using Metacognition to Control Use and Adaptation for Multiple Mental Models. In J. Treur & L. Van Ments (Eds.), Mental Models and Their Dynamics, Adaptation, and Control (Vol. 394, 81–97). New Springer. DOI:10.1007/978-3-030-85821-6_4
Veenman, M. V. J., Van Hout-Wolters, B. H. A. M., & Afflerbach, P. (2006). Metacognition and learning: Conceptual and methodological considerations. Metacognition and Learning, 1(1), 3–14. DOI:10.1007/s11409-006-6893-0
Vermunt, J. D., & Donche, V. (2017). A learning patterns perspective on teacher professional development. Research Papers in Education, 32(2), 219–240. DOI:10.1080/02671522.2016.1211103
Windschitl, M., & Thompson, J. (2013). The Modeling Toolkit: Making Student Thinking Visible with Public Representations. The Science Teacher, 80.
Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist, 25(1), 3–17. DOI:10.1207/s15326985ep2501_2
Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In Handbook of self-regulation (13–39). Academic Press. DOI:10.1016/B978-012109890-2/50031-7
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70. DOI:10.1207/s15430421tip4102_2
DOI: https://doi.org/10.32043/gsd.v9i2.1346
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