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http://dx.doi.org/10.14697/jkase.2017.37.2.0239

A Review of Model and Modeling in Science Education: Focus on the Metamodeling Knowledge  

Cho, Hye Sook (Pusan National University)
Nam, Jeonghee (Pusan National University)
Oh, Phil Seok (Gyeongin National University of Education)
Publication Information
Journal of The Korean Association For Science Education / v.37, no.2, 2017 , pp. 239-252 More about this Journal
Abstract
The purpose of this study is to examine metamodeling knowledge and its components, which means knowledge about model and modeling required for students and teachers for successful application of modeling in the field of science education based on research literature. For this, we analyzed and categorized major previous studies on modeling and modeling through research literature methods. Metamodeling knowledge aims to recognize models and modeling and is the most crucial element to create a scientific model in scientific modeling practice. The point of view of metamodeling knowledge proposed in this study is categorize nature of model, multiplicity of model, purpose of model, modeling process, and evaluation and revision of model. Students should be able to achieve more in-depth understanding through the awareness of the nature of the model. The development of metamodeling knowledge can facilitate students' science learning.
Keywords
model; modeling; metamodeling knowledge; nature of model; multiplicity of model; purpose of model; modeling process; evaluation of model; revision of model;
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Times Cited By KSCI : 12  (Citation Analysis)
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1 Sins, P., Savelsbergh, E., Van Joolingen, W., & van Hout-Wolters, B. (2009). The relation between students'epistemological understanding of computer models and their cognitive processing on a modelling task. International Journal of Science Education, 31(9), 1205-1229.   DOI
2 Snow, R. E. (1990). New approaches to cognitive and conative assessment in education. International Journal of Educational Research, 14(5), 455-473.
3 Stewart, J., Hafner, R., Johnson, S., & Finkel, E. (1992). Science as model building: Computers and high-school genetics. Educational Psychologist, 27(3), 317-336.   DOI
4 Stratford, S. J., Krajcik, J., & Soloway, E. (1998). Secondary students' dynamic modelling processes: Analysing, reasoning about, synthesizing, and testing models of stream ecosystems. Journal of Science Education and Technology, 7(3), 215-234.   DOI
5 Talanquer, V. (2011). Macro, submicro, and symbolic: the many faces of the chemistry "triplet". International Journal of Science Education, 33(2), 179-195.   DOI
6 Treagust, D. F., Chittelborough, G. D., & Mamiala, T. L. (2002). Students' understanding of the role of scientific models in learning science. International Journal of Science Education, 24(4), 357-368.   DOI
7 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.   DOI
8 Valanides, C. & Angeli, N. (2008). Learning and teaching about scientific models with a computer-modeling tool. Computers in Human Behavior, 24(2), 220-233.   DOI
9 Grunkorn, J., Hansch, J., Upmeier zu Belzen, A. & Kruger, D. (2014). Assessing students' understandings of biological models and their use in science to evaluate a theoretical framework. International Journal of Science Education, 36(10), 1651-1684.   DOI
10 Gunstone, R., & Mitchell, I. J. (1998). Metacognition and conceptual change. In J. L. Mintzes, J. H. Wandersee, & J. D. Noval (Eds.), Teaching for science education: A human constructivist view (pp. 133-163). San Diego, CA: Academic Press.
11 Ha, J. H., Lee, H. J., & Kang, S. J. (2009). Perception of science high school students on modeling activity. Journal of Gifted & Talented Education, 19(1), 184-202.
12 Halloun, I. A. (1996). Schematic Modeling for meaningful learning of physics. Journal of Research in Science Teaching, 33(9), 1019-1041.   DOI
13 Halloun, I. A. (2007). Mediated modeling in science education. Science and Education, 16(7-8), 653-697.   DOI
14 Harrison, A. G., & Treagust, D. F. (1996). Secondary students' mental models of atoms and molecules: Implications for learning chemistry. Science Education, 80(5), 509-534.   DOI
15 Harrison, A. G., & Treagust, D. F. (2000). A typology of school science models. International Journal of Science Education, 22(9), 1011-1026.   DOI
16 Hestenes, D. (1987). Toward a modelling theory of physics instruction. American Journal of Physics, 55(5), 440-454.   DOI
17 van Driel, J. H., & Verloop, N. (1999). Teachers' knowledge of models and modeling in science. International Journal of Science Education, 21(11), 1141-1153.   DOI
18 Abd-El-Khalick, F., BouJaoude, S., Duschl, R., Lederman, N. G., Mamlok-Naaman, R., & Hofstein, A., Niaz, M., Treagust, D., & Tuan, H. (2004). Inquiry in science education: international perspectives. Science Education, 88(3), 397-419.   DOI
19 Henze, I., van Driel, J., & Verloop, N. (2007). The change of science teachers' personal knowledge about teaching models and modelling in the context of science education reform. International Journal of Science Education, 29(15), 1819-1846.   DOI
20 Hestenes, D. (1993). Modeling is the name of the game. A presentation at the NSF Modeling Conference (Feb. 1993).
21 Jang, E. K., Ko, W., & Kang, S. J. (2012). The analysis of university student's modeling patterns and perceptions through modeling experiments. Journal of the Korean Association for Research in Science Education, 32(1), 1-14.   DOI
22 Aduriz-Bravo, A. (2013). A semantic view of scientific models for science education, Science and Education, 22(7), 1593-1611.   DOI
23 An, Y. L., & Kim, H. J. (2011). Recognition of the nature of science by preservice science teachers on the basis of the atomic model. Journal of the Korean Association for Research in Science Education, 31(4), 539-556.
24 Hodson, D. (1993). Re-thinking old ways: Towards a more critical approach to practical work in school science. Studies in Science Education, 22(1), 85-142.   DOI
25 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.   DOI
26 Hogan, K., & Thomas, D. (2001). Cognitive comparisons of students' systems modelling in ecology. Journal of Science Education and Technology, 10(4), 319-345.   DOI
27 Jeong, H. S., & Kim, Y. M. (2014). An investigation of pre-service secondary science teachers' perceptions on scientific models. Teacher Education Research, 53(4), 682-692.   DOI
28 Justi, R., & Gilbert, J. K. (2002). Modeling, teachers' views on the nature of modeling, and implications for the education of modelers. International Journal of Science Education, 24(4), 369-387.   DOI
29 Johnson-Laird, P. N. (1980). Mental Models in Cognitive Science. Cognitive Science, 4(1), 71-115.   DOI
30 Jonassen, D., Strobel, J., & Gottdenker, J. (2005). Model building for conceptual change. Interactive Learning Environments, 13(1-2), 15-37.   DOI
31 Justi, R., & Gilbert, J. K. (2003). Teachers'views on the nature of models. International Journal of Science Education, 25(11), 1369-386.   DOI
32 Kim, H. B., Kim, S. H., Lee, S. K., & Kim, H. L. (2001). The effect of a factory analogy on student motivation and understanding of the function of cell parts. Biology education, 29(4), 346-353.
33 Boulter, C. J., & Buckly C. B. (2000). Constructing a typology of model for science education. In J. K. Gilbert & C. J. Boulter (Eds.), Developing models in Science Education (pp. 41-57). Dordrecht, The Netherlands: Kluwer Academic.
34 Berland, L. K., & Reiser, B. J. (2008). Making sense of argumentation and explanation. Science Education, 93(1), 26-55.   DOI
35 Bogiages, C. (2014). The development of a performance progression for science teachers' implementation of model-based teaching. University of South Carolina - Columbia. (Doctoral dissertation).
36 Bottcher, F., & Meisert, A. (2011). Argumentation in science education: a model-based framework. Science and Education, 20(2), 103-140.   DOI
37 Brewe, E. (2008). Modeling theory applied: modeling instruction in introductory physics. American Journal of Physics, 76(12), 1155-1160.   DOI
38 Buckley, B. C., & Boulter, C. J. (2000). Investigating the role of representations and expressed models in building mental models. In J. K. Gilbert & C. J. Boulter (Eds.), Developing models in science education (pp. 119-135). Dordrecht, The Netherlands: Kluwer Academic.
39 Campbell, T., Oh, P. S., & Neilson, D. (2012). Discursive modes and their pedagogical functions in model-based inquiry (MBI) classrooms. International Journal of Science Education, 34(15), 2393-2419.   DOI
40 Kim, M. Y., & Kim, H. B., (2007). Analysis of high school students' conceptual change in model-based instruction for blood circulation. Journal of the Korean Association for Research in Science Education, 27(5), 379-393.
41 Kim, S. J., Maeng, S. H., Cha, H. J., Kim, C. J., & Choe, S. U. (2013). The contents of practical knowledge realized in two science teachers' classes on social construction of scientific models. Journal of the Korean Association for Research in Science Education, 33(4), 807-825.   DOI
42 Kim, H. Y. (2013). An investigation of the effect of model-centered instruction using language diagnosis tool. The Journal of Educational Information and Media, 19(2), 175-200.
43 Kim, A. J,, Park, H. J., Kim, C. J., Kim, H. B., Yoo, J. H., & Choe, S. U. (2012). Analysis of scientific models in science textbooks for the 7th grade. Journal of the Korean Chemical Society, 56(3), 363-370.   DOI
44 Krell, M., Upmeier zu Belzen, A., & Kruger, D.(2012). Students' understanding of the purpose of models in different biological contexts. International Journal of Biology Education, 2(2), 1-34.
45 Cartier, J. & Stewart, J. (2000). Teaching the nature of inquiry: Further developments in a High School Genetics program. Science Education, 9(3), 247-267.   DOI
46 Cha, J. H., Kim, Y. H., & Noh, T. H. (2004). Middle and high school students? views on the scientific model. Journal of the Korean Chemical Society, 48(6), 638-644.   DOI
47 Chamizo, J. A. (2013). A new definition of models and modeling in chemistry' teaching. Science and Education, 22(7), 1613-1632.   DOI
48 Koponen, I. (2007). Models and modelling in physics education: a critical re-analysis of philosophical underpinnings and suggestions for revisions. Science and Education, 16(7-8), 751-773.   DOI
49 Kozma, R. B. & Russell, J. (1997). Multimedia and understanding: expert and novice responses to different representations of chemical phenomena. Journal of Research in Science Teaching, 34(9), 949-968.   DOI
50 Krell, M., Reinisch, B., & Kruger, D. (2014). Analyzing students' understanding of models and modeling referring to the disciplines biology, chemistry, and physics. Research in Science Education, 45(3), 367-393.   DOI
51 Lim, H. J. (2005). High school students' understanding of the atomic model and orbitals. Journal of the Korean Association for Research in Science Education, 25(2), 297-306.
52 Lederman, N. G. (2007). Nature of science: Past, present and future. In S. K. Abell & N. G. Lederman (Eds.), Handbook of research on science education (pp. 831-879). Mahwah: Lawrence Erlbaum Associates.
53 Lee, J. M., Kang, E, J., Kim, M. S., Kam, G. T., Kim, J. O., Park. T. J., Kim, S. I., Shin, H, J., Lee, K. O., Kim. Y. J., Lee, J. H., Do, G. S., Lee, Y. E., Park, J. Y., Park, C. H., & Lee. J. S. (2015). Cognitive phychology. 5rd Ed. Hakgisa, Seoul.
54 Lee, M. J. (1999). Children's mental models of the free-fall of objects. Journal of the Korean Association for Research in Science Education, 19(3), 389-399.
55 Clement, J. J. (2000). Model-based learning as a key research area of science education. International Journal of Science Education, 22(9), 1041-1053.   DOI
56 Cho, H. S. (2014). Development and effect of argument-based modeling strategy as teaching method in middle school students (Doctoral dissertation). Pusan national university, Korea.
57 Cho, H. S., Nam, J. H., & Lee, D. W. (2014). The development of argument-based modeling strategy using scientific writing. Journal of the Korean Association for Research in Science Education, 34(5), 479-490.   DOI
58 Cho, H. S., & Nam, J. H. (2014).The impact of the argument-based modeling strategy using scientific writing implemented in middle school science. Journal of the Korean Association for Research in Science Education, 34(6), 583-592.   DOI
59 Clement, J. J., Rea-Ramirez, M. A., & Mimez-Oviedo, M. C. (2008). An instructional model derived from model construction and criticism theory. In J. J. Clement, M. A. Rea-Ramirez,& Mary Anne (Eds.) (pp. 23-43). Dordrecht, The Netherlands: Kluwer Academic.
60 Crawford, B., & Cullin, M. (2005). Dynamic assessments of preservice teachers' knowledge of models and modelling. In K. Boersma, M. Goedhart, O. de Jong, & H. Eijkelhof (Eds.), Research and the quality of science education (pp. 309-323). Dordrecht: Springer.
61 Ministry of Education (MOE). (2015). 2015 revised curriculum-Science. Seoul: Ministry of Education.
62 Luisi, P.L. & Thomas, R. M. (1990). The pictographic molecular paradigm: Pictorial communication in the chemical and biological sciences. Naturwissenschaften, 77(2), 67-74.   DOI
63 Mandinach, E., & Cline, H. (1993). Systems, science and schools. System Dynamics Review, 9(2), 195-206.   DOI
64 Mendonca, P. C. C., & Justi, R. (2013). An instrument for analyzing arguments produced in modeling-based chemistry lessons. Journal of research in science teaching. 51(2), p192-218.   DOI
65 Morrison, M., & Morgan, M. S. (1999). Models as mediating instruments. In M. Morrison & M. S. Morgan (Eds.), Models as mediators (pp. 10-37). Cambridge: Cambridge University Press.
66 National Research Council (1996). National education standards. Washington, D.C.: National Academy Press.
67 National Research Council. (2012). A framework for K-12 science education: practices, cross-cutting concepts, and core ideas. committee on a conceptual Framework for new K-12 science education standards. Washington DC: National Academy Press.
68 Crawford, B. A., & Cullin, M. J. (2004). Supporting prospective teachers'conceptions of modelling in science. International Journal of Science Education, 26(11), 1379-1401.   DOI
69 Davis, E. A., Kenyon, L., Hug, B., Nelson, M., Beyer, C., Schwarz, C., & Reiser, B. J. (2008). MoDeLS: designing supports for teachers using scientific modeling. Paper presented at the Association for Science Teacher Education, St. Louis, MO, January 10, 2008.
70 Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1991). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5(2), 121-152.   DOI
71 NGSS Lead States. (2013). Next generation science standards: For states, by states.Washington, DC: National Academies Press.
72 Nisbett, R. E., & Wilson, T. D. (1977). Telling more than we can know: verbal reports on mental processes. Psychological Review, 84(3), 231-59.   DOI
73 Osborne, J. F. & Patterson, A. (2011). Scientific argument and explanation: a necessary distinction?. Science Education, 95(4), 627-638.   DOI
74 van Driel, J. H., & Verloop, N. (2002). Experienced teachers' knowledge of teaching and learning of models and modeling in science education. International Journal of Science Education, 24(12), 1255-1272.   DOI
75 Odenbaugh, J. (2005). Idealized, inaccurate but successful: a pragmatic approach to evaluating models in theoretical ecology. Biology and Philosophy, 20, 231-255.   DOI
76 Oh, P. S. (2007). With a focus on lessons in the domains of atmospheric and oceanic earth sciences-analysis of the manners of using scientific models in secondary earth science classrooms. Journal of the Korean Association for Research in Science Education, 27(7), 645-662.
77 Oh, P. S. (2009). Preservice elementary teachers' perceptions on models used in science and science education, Journal of Korean Elementary Science Education, 28(4), 450-466.
78 Oh, P. S., & Oh, S. (2011). What teachers of science need to know about models: an overview. International Journal of Science Education, 33(8), 1109-1130.   DOI
79 Ornek, F. (2008). Models in science education: applications of models in learning and teaching Science. International Journal of Environmental & Science Education, 3(2), 35-45.
80 Passmore, C., Stewart, J., & Cartier, J. (2009). Model-based inquiry and school science: creating connections. School Science and Mathematics, 109(7), 394-402.   DOI
81 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.   DOI
82 Vosniadou, S. (1994). Capturing and modeling the process of conceptual change. Learning and Instruction, 4(1), 45-69.   DOI
83 White, B. Y. (1993). Thinker Tools: causal models, conceptual change, and science education. Cognition and Instruction, 10(1), 1-100.   DOI
84 White, B. Y., & Frederiksen, J. (1998). Inquiry, modeling, and metacognition: Making science accessible to all students. Cognition and Instruction, 16(1), 3-118.   DOI
85 Windschitl, M., & Thompson, J. (2013). The modeling toolkit. Science Teacher, 80(6), 63-69.
86 Yoon, H. G. (2011). Pre-service elementary teachers' inquiry on a model of magnetism and changes in their views of scientific models. Journal of Korean Elementary Science Education, 30(3), 353-366.
87 Zhang, B., Wong, L. H., Chew, L. C., Jacobson, M. J., & Looi, C. (2006). Using computer-based modelling for primary science learning and assessment, Paper presented at the 32nd Annual Conference of the International Association of Educational Assessment (IAEA) on "Assessment in an Era of Rapid Change: Innovations and Best Practices", Singapore, 21-26 May 2006.
88 Forbes, C. T., Zangori, L., & Schwarz, C. V. (2015). Empirical validation of integrated learning performances for hydrologic phenomena: 3rd-grade students' model-driven explanation-construction. Journal of Research in Science Teaching, 52(7), 895-921.   DOI
89 Devi, R., Tiberghien, A., Baker, M., & Brna, P. (1996). Modelling students' construction of energy models in physics. Instructional Science, 24(4), 259-293.   DOI
90 Everett, S., Otto, C. & Luera, G. R. (2009). Preservice elementary teachers' growth in knowledge of models in a science capstone course. International Journal of Science and Mathematics Education, 7(6), 1201-1225.   DOI
91 Gilbert, J. K. (2008). Visualization: an emergent field of practice and enquiry in science education. In J. K. Gilbert, M. Reiner, & M. Nakhleh (Eds.), Visualization: Theory and Practice in Science Education (pp. 3-24). Dordrecht, The Netherlands: Kluwer Academic.
92 Passmore, C., & Svoboda, J. (2012). Exploring opportunities for argumentation in modelling classrooms. International Journal of Science Education, 34(10), 1535-554.   DOI
93 Penner, D. E. (2001). Cognition, computers, and synthetic science: building knowledge and meaning through modeling. Review of Research in Education, 25(2000-2001), 1-35.
94 Franco, C. & Colinvaux, D. (2000). Grasping mental models. In J. K. Gilbert & C. J. Boulter (Eds.), Developing models in science education (pp.93-118). Dordrecht, The Netherlands: Kluwer Academic Publishers.
95 Francoeur, E. (1997). The forgotten tool: The design and use of molecular models. Social Studies of Science, 27(1), 17-40.
96 Gilbert, J. K. (2004). Model and modelling: routes to more authentic science education. International Journal of Science and Mathematics Education, 2(2), 115-130.   DOI
97 Gilbert, J. K., & Boulter, C. J. (1997). Learning science through models and modelling: in B. J. Fraser and K. Tobin, eds., The International Handbook of Science Education (pp. 53-66). Dordrecht, The Netherlands: Kluwer Academic.
98 Gilbert, J. K., Boulter, C. J., & Rutherford, M. (1998). Models in explanations, part 1: horses for courses. International Journal of Science Education, 20(1), 83-87.   DOI
99 Portides, D. P. (2007). The relation between idealization and approximation in scientific model construction. Science and Education, 16(7), 699-24.   DOI
100 Piburn, M. D., Reynolds, S. J., Leedy, D. E., McAuliffe, C. M., Birk, J. P. & Johnson, J. K. (2002). The hidden earth: visualization of geologic features and their subsurface geometry. Paper presented at the annual meeting of National Association for Research in Science Teaching, New Orleans.
101 Raghavan, K., & Glaser, R. (1995). Model-based analysis and reasoning in science: The MARS Curriculum. Science Education, 79(1), 37-61.   DOI
102 Redish, E. F. (1994). The implications of cognitive studies for teaching physics. American Journal of Physics, 62(9), 792-803.
103 Richards, J., Barowy, W., & Levin, D. (1992). Computer simulation in the science classroom. Journal of Science Education and Technology, 1(1), 67-79.   DOI
104 Romberg, T., Carpenter, T., & Kwako, J. (2005). Standards based reform and teaching for understanding. In T. Romberg, T. Carpenter, & F. Dremock (Eds.), Understanding mathematics and science matters (pp. 3-26). Mahwah, NJ: Erlbaum.
105 Rosenblueth, A., & Wiener, N. (1945). The role of models in science. Philosophy of Science, 12(4), 316-321.   DOI
106 Rouse, W. B. & Morris, N. M. (1986). On looking into the black box: Prospects and limits in the search for mental models. Psychological Bulletin, 100(3), 349-363.   DOI
107 Glynn, S. M., & Duit, R. (1995). Learning science meaningfully: constructing conceptual models. In S. M. Glynn & R. Duit (Eds.), Learning science in the schools: Research reforming practice (pp. 3-33). Mahwah, NJ: Erlbaum.
108 Schecker, H. P. (1993). Learning physics by making models. Physics Education, 28(2), 102-106.   DOI
109 Gilbert, S. W. (1991). Model building and a definition of science. Journal of Research in Science Teaching, 28(1), 73-79.   DOI
110 Gil-Perez, D. (1996). New trends in science education. International Journal of Science Education, 18(8), 889-901.   DOI
111 Schwarz, C. V., Reiser, B. J., Davis, E. A., Kenyon, L., Acher, A Fortus, D., Shwartz, 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.   DOI
112 Schwarz, C. V. (2002). Is there a connection? The role of meta-modeling knowledge in learning with models. In P. Bell, R. Stevens, & T. Satwicz (Eds.), Keeping learning complex: The Proceedings of the Fifth International Conference of the Learning Sciences (ICLS). Mahwah, NJ: Erlbaum.
113 Schwarz, C. V. (2009). Developing preservice elementary teachers' knowledge and practices through modeling-centered scientific inquiry. Science Education, 93(4), 720-744.   DOI
114 Schwarz, C. V., & Gwekwerere, Y. N. (2007). Using a guided inquiry and modeling instructional framework (EIMA) to support preservice K-8 science teaching. Science Education, 91(1), 158-186.   DOI
115 Schwarz, C. V., & White B. Y. (2005). Metamodeling knowledge: developing students' understanding of scientific modeling, Cognition and Instruction, 23(2), 165-205.   DOI
116 Shim, Y. S., Kim, C. J., Choe, S. U., Kim, H, B., Yoo, J. H., Park, H. J., Kim, H. Y., Park. K. M., Jang, S. H. (2015). Exploring small group features of the social-construction process of scientific model in a combustion class. Journal of the Korean Association for Research in Science Education, 35(2), 217-229.   DOI
117 Sins, P. H. M., Savelsbergh, E. R., & van Joolingen, W. R. (2005). The difficult process of scientific modelling: An analysis of novices' reasoning during computer-based modelling, International Journal of Science Education, 27(14). 1695-1721.   DOI
118 Gobert, J. D. & Pallant, A. (2004). Fostering students' epistemologies of models via authentic model-based tasks. Journal of Science Education and Technology, 13(1), 7-22.   DOI
119 Gobert, J. D., & Buckley, B. C. (2000). Introduction to model-based teaching and learning in science education. International Journal of Science Education, 22(9), 891-894.   DOI
120 Gobert, J. D., O'Dwyer, L., Horwitz, P., Buckley, B., Levy, S., & Wilensky, U. (2011). Examining the relationship between students' understanding of the nature of models and conceptual learning in biology, physics, and chemistry. International Journal of Science Education, 33(5), 653-684.   DOI
121 Greca, I. M., & Moreira, M. A. (2000). Mental models, conceptual models, and modelling. International Journal of Science Education, 22(1), 1-11.   DOI
122 Greca, I. M., & Moreira, M. A. (2002). Mental, physical, and mathematical models in the teaching and learning of Physics. Science Education, 85(6), 106-121.
123 Grosslight, L., Unger, C., Jay, E., & Smith, C. (1991). Understanding models and their use in science: conceptions of middle and high school students and experts. Journal of Research in Science Teaching, 28(9), 799-822.   DOI