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International Journal of Cognitive Research in Science, Engineering and Education / IJCRSEE
2018, vol. 6, br. 3, str. 35-47
jezik rada: engleski
vrsta rada: izvorni naučni članak
doi:10.5937/ijcrsee1803035C

Creative Commons License 4.0
Making scientific concepts explicit through explanations: Simulations of a high-leverage practice in teacher education
(naslov ne postoji na srpskom)
aPontificia Universidad Católica de Chile, Chile
bUniversity of Dundee, Dundee, Scotland, UK

e-adresa: vmcabello@uc.cl, k.j.topping@dundee.ac.uk

Projekat

Project by The National Teacher Assessment System, 821320002

Sažetak

(ne postoji na srpskom)
There is a current research interest into high-leverage teaching practices which are geared towards making concepts explicit to learners. Explanations are a common practice in science education for sharing and constructing meaning with students. However, current studies insufficiently articulate a framework for understanding pre-service teachers' explanations; neither do they assess the practical criteria for development. This article documents various criteria for pre-service science teachers' explanations as related to the cognitive science literature and their assessment in the context of an instrument designed for teacher education. A rubric was constructed which organized structural and supportive elements into three levels. A validation process is described, and its application in teacher education programs to detect possible patterns and changes in pre-service science teachers' explanations. The results show the explanation strengths of pre-service teachers working with examples, graphs and images. However, difficulties were found in using and improving analogies, metaphors, and models, and also approaching mis-conceptions as a learning opportunity. Theoretical and practical issues are discussed from a cognitive perspective. We conclude that the signaling implications of using rubrics sensitive to progress-monitoring during teacher education for high-leverage teaching practices give opportunities to simulate and rehearse practices that are highly conducive to learning.

Ključne reči

Explanation; Simulations; High-leverage practice; Science Education

Reference

Aubusson, P.J., Harrison, A.G., Ritchie, S.M. (2006) Metaphor and Analogy. u: Aubusson, Peter J.; Harrison, Allan G.; Ritchie, Stephen M. [ur.] Metaphor and Analogy in Science Education, Berlin/Heidelberg: Springer Nature, str. 1-9
Baglama, B., Yucesoy, Y., Uzunboylu, H., Özcan, D. (2017) Can infographics facilitate the learning of individuals with mathematical learning difficulties?. International Journal of Cognitive Research in Science, Engineering and Education / IJCRSEE, vol. 5, br. 2, str. 119-127
Ball, D.L., Forzani, F.M. (2011) Building a common core for learning to teach and connecting professional learning to practice. American Educator, 35(2), 17-39. https://files.eric.ed.gov/fulltext/ EJ931211.pdf
Buckley, B.C. (2000) Interactive multimedia and model-based learning in biology. International Journal of Science Education, 22(9): 895-935
Cabello, V.M. (2013) Developing skills to explain scientific concepts during initial teacher education: The role of peer assessment. University of Dundee, Unpublished Doctoral dissertation, https://discovery.dundee.ac.uk/ws/portalfiles/ portal/2250078
Carrascosa, J. (2005) El problema de las concepciones alternativas en la actualidad (Parte II). El cambio de concepciones alternativas. Revista Eureka sobre enseñanza y divulgación de las ciencias., 2(3): 388-402
Charalambous, C.Y., Hill, H.C., Ball, D.L. (2011) Prospective teachers’ learning to provide instructional explanations: how does it look and what might it take?. Journal of Mathematics Teacher Education, 14(6): 441-463
Cook, M.P. (2006) Visual representations in science education: The influence of prior knowledge and cognitive load theory on instructional design principles. Science Education, 90(6): 1073-1091
Danielson, C. (2013) The framework for teaching evaluation instrument. Princeton: Danielson group, http://www.loccsd.ca/~div15/wp-content/ uploads/2015/09/2013-framework-for-teachingevaluation-instrument.pdf
Danielsson, K., Löfgren, R., Pettersson, A.J. (2018) Gains and Losses: Metaphors in Chemistry Classrooms. u: Tang, Kok-Sing; Danielsson, Kristina [ur.] Global Developments in Literacy Research for Science Education, Cham: Springer Nature, str. 219-235
Dawes, L. (2004) Research report. International Journal of Science Education, 26(6): 677-695
Feynman, R. (1994) Six easy pieces: Essentials of physics explained by its most brilliant teacher. New York: Helix Books, https://www.biblio. com/six-easy-pieces-by-feynman-richard-p/ work/112435
Geelan, D. (2011) Teacher Explanations. u: Fraser, Barry J.; Tobin, Kenneth; McRobbie, Campbell J. [ur.] Second International Handbook of Science Education, Dordrecht: Springer Nature, str. 987-999
Geelan, D. (2013) Teacher Explanation of Physics Concepts: a Video Study. Research in Science Education, 43(5): 1751-1762
Koteva-Mojsovska, T., Bancotovska-Nikodinovska, S. (2015) The effects of the pedagogical experience on the quality of teacher education. International Journal of Cognitive Research in Science, Engineering and Education / IJCRSEE, vol. 3, br. 2, str. 41-46
Kozma, R. (2003) The material features of multiple representations and their cognitive and social affordances for science understanding. Learning and Instruction, 13(2): 205-226
Larkin, D. (2017) Planning for the Elicitation of Students’ Ideas: A Lesson Study Approach With Preservice Science Teachers. Journal of Science Teacher Education, 28(5): 425-443
Legare, C.H., Gelman, S.A., Wellman, H.M. (2010) Inconsistency With Prior Knowledge Triggers Children’s Causal Explanatory Reasoning. Child Development, 81(3): 929-944
Martin, R., Sexton, C., Gerlovich, J. (2009) Teaching science for all children: Methods for constructing understanding. Boston: Allyn and Bacon, 4th Ed. https://www.pearson.com/us/higher-education/program/Martin-Teaching-Science-forAll-Children-Inquiry-Methods-for-Constructing-Understanding-4th-Edition/PGM121469. html
Marzano, R., Pickering, D., Pollock, J. (2001) Classroom instruction that works. Alexandria, VA: ASCD Press, https://www.pearson.com/ us/higher-education/product/Marzano-Classroom-Instruction-that-Works-Research-BasedStrategies-for-Increasing-Student-Achievement/9780131195035.html
Mayer, R.E., Jackson, J. (2005) The case for coherence in scientific explanations: quantitative details can hurt qualitative understanding. J Exp Psychol Appl, 11(1): 13-8
Mohan, R. (2013) Innovative science teaching for physical science teachers. India: Prentice Hall, 3rd Ed. https://www.bookdepository.com/ Innovative-Science-Teaching-For-PhysicalScience-Teachers-3Rd-Edition-Radha-Mohan/9788120331570
Norris, S.P., Guilbert, S.M., Smith, M.L., Hakimelahi, S., Phillips, L.M. (2005) A theoretical framework for narrative explanation in science. Science Education, 89(4): 535-563
o`Flaherty Joanne,, Beal, E.M. (2018) Core competencies and high leverage practices of the beginning teacher: a synthesis of the literature. Journal of Education for Teaching, str. 1-18
Ogborn, J., Kress, G., Martins, I. (1996) Explaining science in the classroom. UK: McGraw-Hill Education, http://sro.sussex.ac.uk/27106
Patton, M. (2001) Qualitative evaluation and research methods. Newbury Park, CA: Sage Publications, 3rd Ed. http://psycnet.apa.org/record/1990-97369-000
Podolefsky, N.S., Finkelstein, N.D. (2007) Analogical scaffolding and the learning of abstract ideas in physics: Empirical studies. Physical Review Special Topics - Physics Education Research, 3(2):
Rodrigues, R.F., de Pereira, A.P. (2018) Explicações no ensino de ciências: revisando o conceito a partir de três distinções básicas. Ciência & Educação (Bauru), 24(1): 43-56
Rodrigues, S. (2010) Exploring talk: Identifying register, coherence and cohesion. u: Rodrigues S. [ur.] Using Analytical Frameworks for Classroom Research, London: Routledge, Vol. 1, http://nrl.northumbria.ac.uk/2660/
Roth, W., Welzel, M. (2001) From activity to gestures and scientific language. Journal of Research in Science Teaching, 38(1): 103-136
Sevian, H., Gonsalves, L. (2008) Analysing how Scientists Explain their Research: A rubric for measuring the effectiveness of scientific explanations. International Journal of Science Education, 30(11): 1441-1467
Shulman, L.S. (1986) Those Who Understand: Knowledge Growth in Teaching. Educational Researcher, 15(2): 4-14
Smith, D.C. (2000) Content and Pedagogical Content Knowledge for Elementary Science Teacher Educators: Knowing our Students. Journal of Science Teacher Education, 11(1): 27-46
Snyder, J.L. (2000) An investigation of the knowledge structures of experts, intermediates and novices in physics. International Journal of Science Education, 22(9): 979-992
Thagard, P. (1992) Analogy, explanation, and education. Journal of Research in Science Teaching, 29(6): 537-544
Treagust, D., Harrison, A. (1999) The genesis of effective scientific explanations for the classroom. u: Loughran J. [ur.] Researching teaching: Methodologies and practices for understanding pedagogy, London: Routledge, https://www.taylorfrancis.com/books/e/9781135700799/chapter s/10.4324%2F9780203487365-5
Wenham, M. (2005) Understanding primary science: ideas, concepts and explanations. London: SAGE, https: //eric. ed. gov/?id=ED488824
Windschitl, M., Thompson, J., Braaten, M., Stroupe, D. (2012) Proposing a core set of instructional practices and tools for teachers of science. Science Education, 96(5): 878-903
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
Wu, H., Shah, P. (2004) Exploring visuospatial thinking in chemistry learning. Science Education, 88(3): 465-492