Tools for High-Tech Tool Use: A Framework and Heuristics for Using Interactive Simulations

Main Article Content

Daniel Adam Rehn
Emily B Moore
Noah S Podolefsky
Noah D Finkelstein

Abstract

As the use of computer-based science simulations in educational environments grows, so too does the need for research on productive use of simulations. This paper presents ways to create effective assignments that accompany an interactive simulation in a variety of educational environments. A framework that supports the creation of assignments with simulations in any environment is provided, as well as a set of heuristics, or strategies, for how to create assignments based on the particular environment and simulation being used. Case studies of use in college and middle school science classes are provided to illustrate implementation of the heuristics, and how the heuristics can be used to promote productive use of a simulation.

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How to Cite
Rehn, D. A., Moore, E. B., Podolefsky, N. S., & Finkelstein, N. D. (2013). Tools for High-Tech Tool Use: A Framework and Heuristics for Using Interactive Simulations. Journal of Teaching and Learning With Technology, 2(1), 31–55. Retrieved from https://scholarworks.iu.edu/journals/index.php/jotlt/article/view/3507
Section
Articles
Author Biography

Daniel Adam Rehn, University of Colorado Boulder

Department of Physics

Professional Research Asst.

References

Adams, W.K., Paulson, A., & Wieman, C.E. (2008). What levels of guidance promote engaged exploration with interactive simulations? AIP Conf. Proceedings, 1064, 59-62. doi:http://dx.doi.org/10.1063/1.3021273

Adams, W.K., Reid, S., LeMaster, R., McKagan, S.B., Perkins, K.K., Dubson, M., & Wieman, C.E. (2008). A study of educational dimulations part I – Engagement and learning. Journal of Interactive Learning Research, 19(3), 397-419. http://www.editlib.org/p/24230

Christian, W. (n.d.). Physlets [Software]. Available from http://webphysics.davidson.edu/Applets/Applets.html.

Clark, D., Nelson, B., Sengupta, P., & D’Angelo, C. (2009). Rethinking science learning through digital games and simulations: Genres, examples, and evidence. Learning Science: Computer Games, Simulations, and Education Commissioned Papers. Board on Science Education: Center for Education.

Cole, M. (1996). Cultural psychology: A once and future discipline. Cambridge, MA: Harvard University Press.

Davidowitz, B., Chittleborough, G., & Murray, E. (2010). What can student-generated diagrams tell us about their understanding of chemical equations? SAARMSTE 2010: Proceedings of the 18th Annual Meeting of the Southern African Association for Research in Mathematics, Science and Technology Education: Crossing the Boundaries, 51-58. http://hdl.handle.net/10536/DRO/DU:30025036

Dewey, J. (1938). Experience and education. New York, NY: Kappa Delta Pi.

Finkelstein, N.D. (2005). Learning physics in context: A study of student learning about electricity and magnetism. International Journal of Science Education, 27(10), 1187-1209. doi:http://dx.doi.org/10.1080/09500690500069491

Finkelstein, N.D., Adams, W.K., Keller, C.J., Kohl, P.B., Perkins, K.K., Podolefsky, N.S., Reid, S., & LeMaster, R. (2005). When learning about the real world is better done virtually: A study of substituting computer simulations for laboratory equipment. Phys. Rev. ST Phys. Educ. Res., 1(1), 010103. doi:http://dx.doi.org/10.1103/PhysRevSTPER.1.010103

Finkelstein, N.D., Adams, W.K., Keller, C.J., Perkins, K.K., & Wieman, C.E. (2006). High-Tech Tools for Teaching Physics: the Physics Education Technology Project. Journal of Online Learning and Teaching, 2(3), 109-121. http://jolt.merlot.org/vol2no3/finkelstein.pdf

Gizmos! Online simulations that power inquiry and understanding. (2012). Retrieved December 9, 2012 from: http://www.explorelearning.com/.

Hawkins, D. (1974). The informed vision: Essays on learning and human nature. New York: Agathon Press.

Hutchins, E. (1995). Cognition in the wild. Cambridge, MA: MIT Press.

Kearney, M. (2004). Classroom use of multimedia-supported predict–observe–explain tasks in a social constructivist learning environment. Research In Science Education, 34(4), 427-453. doi:http://dx.doi.org/10.1007/s11165-004-8795-y

Keller, C.J., Finkelstein, N.D., Perkins, K.K., & Pollock, S.J. (2005). Assessing the effectiveness of a computer simulation in conjunction with tutorials in introductory Physics in undergraduate Physics recitations. AIP Conf. Proceedings, 818, 109-112. http://dx.doi.org/10.1063/1.2177035

Kohl, P.B., & Finkelstein, N.D. (2008). Patterns of multiple representation use by experts and novices during physics problem solving. Phys. Rev. ST Phys. Ed. Res., 4, 010111. doi:http://dx.doi.org/10.1103/PhysRevSTPER.4.010111

Kuhn, T.S. (1962). The structure of scientific revolutions. Chicago, IL: University of Chicago Press.

Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge, UK: Cambridge University Press.

McKagan, S.B., Perkins, K.K., Dubson, M., Reid, S., LeMaster, R., Malley, C., & Wieman, C.E. (2008). Developing and researching PhET simulations for teaching quantum mechanics. Am. J. Phys., 76(4), 406-417. doi:http://dx.doi.org/ 10.1119/1.2885199

Mintzes, J.J., Wandersee, J.H., & Novak, J.D. (2005). Teaching science for understanding: A human constructivist view. Elsevier Inc.

Moore, E.B., Herzog, T., & Perkins, K.K. (2013). Interactive simulations as implicit support for guided-inquiry. Chem. Educ. Res. Pract. doi:http://dx.doi.org/10.1039/C3RP20157K

National Research Council. (2011). Learning Science Through Computer Games and Simulations. Committee on Science Learning: Computer Games, Simulations, and Education, Margaret A. Honey and Margaret L. Hilton, Eds. Board on Science Education, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press.

Otero, V. (2003). Cognitive processes and the learning of physics part II: Mediated action. Proceedings of the International School of Physics “Enrico Fermi”, 156, 447-472. http://www.compadre.org/per/items/detail.cfm?ID=9840

Perkins, K.K., Moore, E.B., Podolefsky, N.S., Lancaster, K., & Denison, C. (2011). Towards research-based strategies for using PhET simulations in middle school physical science classes. AIP Conf. Proceedings, 1413, 295-298. doi:http://dx.doi.org/10.1063/1.3680053

PhET: Free online physics, chemistry, biology, earth science and math simulations. (2012a). Retrieved November 11, 2012, from http://phet.colorado.edu/

PhET Quantum Tunneling Simulation. (2012b). Retrieved on Dec. 1, 2012 from http://phet.colorado.edu/en/simulation/quantum-tunneling

PhET Build a Molecule Simulation. (2012c). Retrieved on Nov. 11, 2012 from http://phet.colorado.edu/en/simulation/build-a-molecule

Podolefsky, N.S., Perkins, K.K., & Adams, W.K. (2010). Factors promoting engaged exploration with computer simulations. Phys. Rev. ST Phys. Educ. Res., 6(2), 020117. doi:http://dx.doi.org/10.1103/PhysRevSTPER.6.020117

Podolefsky, N.S., Rehn, D.A., & Perkins, K.K. (2013). Affordances of play for student agency and student-centered pedagogy. AIP Conf. Proceedings, 1513, 306. doi:http://dx.doi.org/10.1063/1.4789713

Redish, E.F. (2003). Teaching physics with the physics suite. John Wiley & Sons, Inc.

Rieber, L.P. (1996). Seriously considering play: Designing interactive learning environments based on the blending of microworlds, simulations, and games. Educational Technology Research & Development, 44(2), 43-58. doi:http://dx.doi.org/10.1007/BF02300540

Roth, W., & Radford, L. (2011). A cultural-historical perspective on mathematics teaching and learning. Rotterdam, Netherlands: Sense Publishers.

Sanger, M.J. (2005). Evaluating students' conceptual understanding of balanced equations and stoichiometric ratios using a particulate drawing. Journal of Chemical Education, 82(1), 131-134. doi:http://dx.doi.org/ 10.1021/ed082p131

Shaffer, P.S., & McDermott, L.C. (1991). Research as a guide for curriculum development: An example from introductory electricity. Part II: Design of instructional strategies. Am. J. Phys., 60(11), 1003-1013. doi:http://dx.doi.org/10.1119/1.16979

Singer, S.R., Hilton, M.L., & Schweingruber, H.A. (2005). America’s lab report: Investigations in high school ccience. The National Academies Press.

Smith, M.K., Wood, W.B., Adams, W.K., Wieman, C.E., Knight, J.K., Guild, N., & Su, T.T. (2009). Why peer discussion improves student performance on in-class concept questions. Science, 323(5910), 122-124. doi:http://dx.doi.org/ 10.1126/science.1165919

StarLogo TNG [Software]. (2008). MIT Scheller Teacher Education Program. Available from http://education.mit.edu/projects/starlogo-tng.

TEAL – Technology Enabled Active Learning [Software]. (1999). MIT iCampus. Available from http://icampus.mit.edu/projects/teal/.

Vygotsky, L.S., & Cole, M. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.

White, R., & Gunstone, R. (1992). Probing understanding. Philadelphia, PA: Falmer Press.

Wilensky, U. (1999). NetLogo [Software]. Available from http://ccl.northwestern.edu/netlogo/.