1 |
Gilbert, J., & Reiner, M. (2000). Thought experiments in science education: potential and current realization. International Journal of Science Education, 22(3), 265-283.
DOI
|
2 |
Kastens, K., & Rivet, A. (2008). Multiple modes of inquiry in earth science. The Science Teacher, 75(1), 26-31.
|
3 |
Gobert, J. D., & Buckly, B. C. (2000). Introduction to model-based teaching and learning in science education. International Journal of Science Education, 22(9), 891-894.
DOI
ScienceOn
|
4 |
Griffith, T. W., Nersessian, N. J., & Goel, A. (2000). Function-follows-form transformations in scientific problem solving. In Proceedings of the Cognitive Science Society 22, 196-201. Mahwah, N. J. : Lawrence Erlbaum.
|
5 |
Kali, Y., Orion, N., & Mazor, E. (1997). Software for assisting high school students in the spatial perception of geological structures, Journal of Geoscience Education, 45(1), 10-21.
DOI
|
6 |
Katz, R., Ragnarsson, R., & Bodenschatz, E. (2005). Tectonic microplates in a wax model of sea-floor spreading. New Journal of Physics, 7, (37), doi:10.1088/1367-2630/7/1/037
DOI
ScienceOn
|
7 |
Khan, S. (2008). What if scenarios for testing student models in chemistry. In J. Clement & M. A. Rea-Ramirez (Eds.), Model based learning and instruction in science (Ch. 8, pp. 139-150). Dordrecht: Springer.
|
8 |
Kim, Soon-sick. (2012). The study of elementary preservice teacher's classes on seasonal variation. Journal of the Korean society of earth science education, 5(3), 245-255.
과학기술학회마을
|
9 |
Ko, Min-seok., & Yang, Il-ho. (2013). Analysis on the relationship between the construct level of analogical reasoning and the construction of explanatory model observed in small group discussions on scientific problem solving. Journal of the Korean Association for Science Education, 33(2), 522-537.
과학기술학회마을
DOI
|
10 |
Lightman, A. & Sadler, P. M. (1993) Teacher Predictions versus Actual Student Gains. The Physics Teacher, 31(3), 162-167.
DOI
ScienceOn
|
11 |
Libarkin, J. C., Beilfus, M., & Kurdziel, J. P. (2003). Research methodologies in science education: Mental models and cognition in education. Journal of geoscience education, 51(1), 121-126.
|
12 |
Moulton, S. T., & Kosslyn, S. M. (2009). Imagining predictions: mental imagery as mental emulation. Philosophical Transactions of the Royal Society, 364(1521), 1273-1280.
DOI
ScienceOn
|
13 |
Nersessian, N. J. (2008). Mental modeling in conceptual change. In S. Vosniadou (Ed.), Interntional handbook of conceptual change (pp. 391-416). New York: Routledge.
|
14 |
Reiner, M., & Burko, L. (2003). On the limitations of thought experiments in physics and the consequences for physics education. Science and Education, 12(4), 385-358.
|
15 |
Nersessian, N. J. (2009). How do engineering scientists think? model-based simulation in biomedical engineering research laboratories. Topics in Cognitive Science, 1(1), 1-28.
DOI
|
16 |
Nersessian, N. J., & Chandrasekharan, S. (2009). Hybrid analogies in conceptual innovation in science. Cognitive Systems Research, 10(3), 178-188.
DOI
|
17 |
Orion, N., BenChaim, D., & Kali, Y. (1997). Relationship between earth-science education and spatial visualization, Journal of Geoscience Education, 45, 129-132.
DOI
|
18 |
Trafton, J. G., Trickett, S. B., & Mintz, F. (2005). Connecting internal and external representations: Spatial transformations of scientific visualizations. Foundations of Science, 10(1), 89-106.
DOI
|
19 |
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
ScienceOn
|
20 |
Stephens, L., & Clement, J. (2010) Documenting the use of expert scientific reasoning process by high school physics students. Physical Review Special Topics - Physics Education Research, 6(2), URL: http://link.aps.org/doi/10.1103/PhysRevSTPER.6.020122.
|
21 |
Trickett, S., & Trafton, J. G. (2002). The instantiation and use of conceptual simulations in evaluating hypotheses: movies in the mind in scientific reasoning. Peoceedings of the 24th Annual Conference of the Cognitive Science Society, Mahwah, NJ.
|
22 |
Trickett, S. B., & Trafton, J. G. (2007). "What if ": The use of conceptual simulations in scientific reasoning, Cognitive Science, 31(5), 843-875.
DOI
|
23 |
Trickett, S. B., Trafton, J. G., & Schunn, C. D. (2009). How do scientists respond to anomalies? different strategies used in basic and applied science. Topics in Cognitive Science, 1(4), 711-729.
DOI
|
24 |
Zeilik, M., & Bisard, W. J. 2000, Conceptual Change in Introductory-Level Astronomy Courses, Journal of College Science Teaching, 29(4), 229-232.p
|
25 |
Chae, Dong-hyun. (2011). The investigation of dix grade students' preconceptions about the cause of seasonal change. Journal of Korean Elementary Science Education, 30(2), 204-212.
|
26 |
Clement, J. (2000). Model-based learning as a key research area of science education. International Journal of Science Education, 22(9), 1041-1053.
DOI
ScienceOn
|
27 |
Ball, L. J., & Christensen, B. T. (2009). Analogical reasoning and mental simulation in design: Two strategies linked to uncertainty resolution. Design Studies, 30(2), 169-186.
DOI
|
28 |
Berland, L., & Reiser, B. (2009). Making sense of argumentation and explanation. Science Education, 93(1), 26-55.
DOI
ScienceOn
|
29 |
Clement, J. (2003). Imagistic simulation in scientific model construction. Proceedings of the Twenty-Fifth Annual Conference of the Cognitive Science Society, 25. Mahwah, NJ: Erlbaum.
|
30 |
Clement, J. (2008). Creative model construction in scientists and students: The role of imagery, analogy, and mental simulation. Dordrecht: Springer.
|
31 |
Clement, J. (2009). The role of imagistic simulation in scientific thought experiments. Topics in Cognitive Science, 1(4), 686-710.
DOI
|
32 |
Galili, I. (2009). Thought Experiments: Determining Their Meaning. science &Education, 18(1), 1-23.
|