Physics Teaching with Simulation Techniques

  • Mukul Kumar State Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing
  • Babu Ram Tiwari State Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing


The motivation of the present article is to focus on the enhancement of teaching and learning in Physics. This article emphasizes on the implementation of simulation and visualization techniques for physics teaching. A class is a union of different kind of students from different backgrounds and capabilities of learning. Some of them may visualize the problem in their mind while some of them may not. In that case, to better understand the problem, visualization of the problem may help the students to understand and to make an attempt at solving it.


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Annetta, L.A., Minogue, J., Holmes, S.Y. & Cheng, M-T. (2009). Investigating the impact of video games on high school students’ engagement and learning about genetics. Computers and Education, 53(1), 74-85.

Cifuentes, L. & Hsieh, Y-C.J. (2001). Computer graphics for student engagement in science learning. TechTrends, 45(15), 21-23.

Delgado, C. & Krajcik, J. (2010). Technology Supports for Science Learning. In P. Peterson, B. McGaw & E. Baker (Eds.), International Encyclopedia of Education. Elsevier: Atlanta, GA.

Dervić, D., Glamočić, D.S., Azra, G.-B., Mešić, V. (2018). Teaching Physics with Simulations: teacher-centred versus student-centred approaches

Gentner, D., & Stevens, A. (1983). Mental models. Hillsdale: Erlbaum

Greca, I. M., & Moreira, M. A. (1997). The kinds of mental representations‐‐models, propositions and images‐‐used by college physics students regarding the concept of field. International Journal of Science Education, 19, 711-724

Gilbert, J.K. (2005). Visualization in Science Education. Springer: Dordrecht.

Gilbert, J.K, Reiner, M. & Nakhleh, M. (2008). Visualization: Theory and practice in science education. Springer: Surrey.

Ingalls, R.G. (2008). Introduction to Simulation. In Proceedings of the 2008 Winter Simulation Conference, ed. S. J. Mason, R. R. Hill, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers

Johnson-Laird, P. (1983). Mental models. Cambridge: Cambridge University Press.

Nicolaides A. (2012). Innovative teaching and learning methodologies for higher education Institutions, Educational Research (ISSN: 2141-5161) Vol. 3(8) pp. 620-626.

Park, J., Sandhu, M., Ritt, H., Pipes, D. & Myers, J. (2008). Developing, testing, and implementing dynamic visualizations: integrating multiple representations of video, data, and graphs while investigating physical science concepts. In K. McFerrin et al. (Eds.), Proceedings of Society for Information Technology & Teacher Education International Conference 2008 (pp. 4759-4765). Chesapeake, VA: AACE.

Phillips, L.M., Norris, S.P. & McNab., J.S. (2010). Visualisations and science. Models and Modelling in Science Education, 5(2): 63-74.

Rapp, D. N., & Kurby, C. A. (2008). The ‘ins’ and ‘outs’ of learning: Internal representations and external visualizations. In J. K. Gil-bert, M. Reiner, & M. Nahkleh (Eds.), Visualization: Theory and practice in science education (pp. 29-52). Dordrecht: Springer

SarÕçoban A. (2010). Problems encountered by student-teachers during their practicum studies, Procedia Social and Behavioral Sciences 2, pp. 707-711.

Shannon, R.E. (1975). Systems Simulation – The Art and Science, Prentice-Hall.

Shell, D.F., Brooks, D.W., Trainin, G., Wilson, K.M., Kauffman, D.F., & Herr, L.M. (2009). The unified learning model. Dordrecht: Springer.

Singh, D., & Kumar, M. (2018). Integration of Audio-Visual and Traditional Practices for Effective Classroom Teaching. Advanced Journal of Social Science3(1), 47-49. 

Xinxin Fan, X., and Geelan, D., 2012, Fan Integrating Information Technology And Science Education For The Future: A Theoretical Review On The  Educational Use Of Interactive Simulations, ACEC2012: ITs Time Conference, pp 1-9.

Zou, B.S.X. (2000). The use of multiple representations and visualizations in student learning of introductory physics: an example from work and energy. Ph.D. thesis, The Ohio State University.

How to Cite
Kumar, M., & Tiwari, B. (2018). Physics Teaching with Simulation Techniques. Advanced Journal of Social Science, 4(1), 8-10.
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