Understanding Students’ Free-Body Diagrams Using the Metarepresentations Survey for Physics
Keywords:metarepresentations, free body diagrams, construct validity, structural equation modeling, Rasch modeling
Study purpose. The Metarepresentations Survey for Physics (MSP) was developed to assess students’ metarepresentational knowledge during physics problem solving.
Materials and methods. The survey was given to 288 introductory-level college physics students. Psychometric properties of the instrument, including construct validity, were evaluated by confirmatory factor analysis and Rasch analysis.
Results. We also examined students’ beliefs about the use of free-body diagrams, as well as thoroughly examined the link between students’ problem solving success and free-body diagrams.
Conclusions. We recommend the use of the MSP for physics instructors and science education researchers who want to evaluate students’ free-body diagrams. Additionally, we suggest the subject of physics can be replaced with chemistry, genetics, or another science to assess metarepresentations in other domains.
Supeno, S., Subiki, S., & Rohma, L. W. (2018). Students’ Ability in Solving Physics Problems on Newtons’ Law of Motion. http://repository.unej.ac.id/handle/123456789/92723
Kohl, P. B., & Finkelstein, N. D. (2006). Effects of representation on students solving physics problems: A fine-grained characterization. Physical review special topics-Physics education research, 2(1), 010106. https://doi.org/10.1103/PhysRevSTPER.2.010106
diSessa, A. A. (2004). Metarepresentation: Native competence and targets for instruction. Cognition and instruction, 22(3), 293-331. https://doi.org/10.1207/s1532690xci2203_2
Rosengrant, D., Van Heuvelen, A., & Etkina, E. (2009). Do students use and understand free-body diagrams? Physical Review Special Topics-Physics Education Research, 5(1), 010108. https://doi.org/10.1103/PhysRevSTPER.5.010108
Taasoobshirazi, G., & Carr, M. (2009). A structural equation model of expertise in college physics. Journal of Educational Psychology, 101(3), 630. https://doi.org/10.1037/a0014557
Van Heuvelen, A., & Zou, X. (2001). Multiple representations of work–energy processes. American Journal of Physics, 69(2), 184-194. https://doi.org/10.1119/1.1286662
Sherin, B. L. (2000). Meta-representation: An introduction. The Journal of Mathematical Behavior, 19(4), 385-398. https://doi.org/10.1016/S0732-3123(01)00051-7
Taasoobshirazi, G., Bailey, M., & Farley, J. (2015). Physics metacognition inventory part II: confirmatory factor analysis and rasch analysis. International Journal of Science Education, 37(17), 2769-2786. https://doi.org/10.1080/09500693.2015.1104425
Flavell, J. H. (1985). Cognitive development (Second Edition). Englewood Cliffs, NJ: Prentice Hall.
Dinsmore, D. L., Alexander, P. A., & Loughlin, S. M. (2008). Focusing the conceptual lens on metacognition, self-regulation, and self-regulated learning. Educational Psychology Review, 20(4), 391-409. https://doi.org/10.1007/s10648-008-9083-6
Schraw, G. (2001). Promoting general metacognitive awareness. In Metacognition in learning and instruction (pp. 3-16). Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2243-8_1
Veenman, M. V. (2007). The assessment and instruction of self-regulation in computer-based environments: a discussion. Metacognition and Learning, 2(2-3), 177-183. https://doi.org/10.1007/s11409-007-9017-6
Schraw, G., Crippen, K. J., & Hartley, K. (2006). Promoting self-regulation in science education: Metacognition as part of a broader perspective on learning. Research in science education, 36(1-2), 111-139. https://doi.org/10.1007/s11165-005-3917-8
Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19(4), 460-475. https://doi.org/10.1006/ceps.1994.1033
Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2003). Making sense of factor analysis: The use of factor analysis for instrument development in health care research. sage.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit In Bollen KA, Long JS, editors. Testing structural equation models. Beverly Hills, CA: Sage, 111-135.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Kline, R. B. (2016). Methodology in the social sciences. Principles and practice of structural equation modeling (4th ed.): Guildford Press.
Lim, S. M., Rodger, S., & Brown, T. (2009). Using Rasch analysis to establish the construct validity of rehabilitation assessment tools. International Journal of Therapy & Rehabilitation, 16(5), 251–260. https://doi.org/10.12968/ijtr.2009.16.5.42102
Boone, W. J., Townsend, J. S., & Staver, J. (2011). Using Rasch theory to guide the practice of survey development and survey data analysis in science education and to inform science reform efforts: An exemplar utilizing STEBI self‐efficacy data. Science Education, 95(2), 258-280. https://doi.org/10.1002/sce.20413
Baghaei, P. (2008). The Rasch model as a construct validation tool. Rasch Measurement Transactions, 22(1), 1145-1146.
Linacre, J. M. (2012). A user’s guide to WINSTEPS MINISTEP. Rasch model computer programs. Beaverton, Oregon: Winsteps. com.
Wright, B. D., & Stone, M. H. (1979). Best test design.
Boone, W. J., Staver, J. R., & Yale, M. S. (2013). Rasch analysis in the human sciences. Springer Science & Business Media.
Bond, T. G., & Fox, C. M. (2007). Applying the Rasch model: Fundamental measurement in the human sciences. Mahwah, NJ: Psychology Press.
Priest, A. G., & Lindsay, R. O. (1992). New light on novice—expert differences in physics problem-solving. British Journal of Psychology, 83(3), 389-405. https://doi.org/10.1111/j.2044-8295.1992.tb02449.x
Wayne, T. (2020). Free body diagrams: the basics. http://www.mrwaynesclass.com/freebodies/reading/index01.html
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Copyright (c) 2022 Gita Taasoobshirazi, Benjamin C. Heddy, Robert W. Danielson, Eric R.I. Abraham, Shelby Joji
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