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Role of Graphs in Blending Physical and Mathematical Meaning of Partial Derivatives in the Context of the Heat Equation

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Abstract

From literature, we know that making the connections between mathematics and physics is not trivial for most students, even at the advanced level. In the specific context of partial derivatives in thermodynamics, research suggests that making explicit connections between the mathematics and the physics is necessary to foster student understanding. In this paper, we investigate how graphical reasoning can help undergraduate students in making connections between the partial derivatives of temperature with respect to position and to time and their respective physical meaning in the context of one-dimensional systems modeled by the heat equation. We conducted task-based, think aloud interviews with four pairs of undergraduate students majoring in physics or mathematics and use dynamic conceptual blending diagrams to analyze their reasoning processes and the role of the graphs therein. The results in this paper indicate that stimulating graphical reasoning is a promising way to promote the blending of mathematical and physical knowledge. Specifically, our data shows that constructing graphs can be a catalyst which helps students to give physical meaning to the partial derivatives \(\partial T/\partial t\) and/or \(\partial T/\partial x\). Therefore, in teaching/learning activities, actively promoting graph construction and reasoning based on those graphs offers perspectives to support the blending of mathematics and physics.

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References

  • Arcavi, A. (2003). The role of visual representations in the learning of mathematics. Educational Studies in Mathematics, 52(3), 215–241.

    Article  Google Scholar 

  • Arnon, I., Cottrill, J., Dubinsky, E., Oktaç, A., Roa Fuentes, S., Trigueros, M., & Weller, K. (2014). APOS Theory. Springer. https://doi.org/10.1007/978-1-4614-7966-6

    Article  Google Scholar 

  • Bain, K., Rodriguez, J.-M.G., Moon, A., & Towns, M. H. (2018). The characterization of cognitive processes involved in chemical kinetics using a blended processing framework. Chemistry Education Research and Practice, 19(2), 617–628. https://doi.org/10.1039/C7RP00230K

    Article  Google Scholar 

  • Becker, N., & Towns, M. (2012). Students’ understanding of mathematical expressions in physical chemistry contexts: An analysis using Sherin’s symbolic forms. Chemistry Education Research and Practice, 13(3), 209–220. https://doi.org/10.1039/C2RP00003B

    Article  Google Scholar 

  • Beichner, R. J. (1994). Testing student interpretation of kinematics graphs. American Journal of Physics, 62(8), 750–762.

    Article  Google Scholar 

  • Bing, T. J., & Redish, E. F. (2007). The Cognitive Blending of Mathematics and Physics Knowledge, 883, 26–29.

    Google Scholar 

  • Bollen, L., van Kampen, P., Baily, C., & De Cock, M. (2016). Qualitative investigation into students’ use of divergence and curl in electromagnetism. Physical Review Physics Education Research, 12(2), 020134.

    Article  Google Scholar 

  • Brahmia, S., Olsho, A., Smith, T. I., & Boudreaux, A. (2020). Framework for the natures of negativity in introductory physics. Physical Review Physics Education Research, 16(1), 010120. https://doi.org/10.1103/PhysRevPhysEducRes.16.010120

    Article  Google Scholar 

  • Clough, E. E., & Driver, R. (1986). A study of consistency in the use of students’ conceptual frameworks across different task contexts. Science Education, 70(4), 473–496. https://doi.org/10.1002/sce.3730700412

    Article  Google Scholar 

  • Eichenlaub, M., & Redish, E. F. (2019). Blending physical knowledge with mathematical form in physics problem solving. In G. Pospiech, M. Michelini, & B.-S. Eylon (Eds.), Mathematics in Physics Education (pp. 127–151). Springer International Publishing. https://doi.org/10.1007/978-3-030-04627-9_6

  • Farlow, S. J. (1993). Partial differential equations for scientists and engineers. Courier Corporation.

  • Fauconnier, G., & Turner, M. (1998). Conceptual integration networks. Cognitive Science, 22(2), 133–187.

    Article  Google Scholar 

  • Fauconnier, G., & Turner, M. (2003). The way we think: Conceptual blending and the mind’s hidden complexities. Basic Books.

  • Gerson, H., & Walter, J. (2008). How blending illuminates understandings of calculus. In Electronic proceedings for the eleventh special interest group of the mathematical association of America on research in undergraduate mathematics.

  • Glazer, N. (2011). Challenges with graph interpretation: A review of the literature. Studies in Science Education, 47(2), 183–210. https://doi.org/10.1080/03057267.2011.605307

    Article  Google Scholar 

  • Goedhart, M. J., & Kaper, W. (2003). From chemical energetics to chemical thermodynamics. In J. K. Gilbert, O. De Jong, R. Justi, D. F. Treagust, & J. H. Van Driel (Eds.), Chemical Education: Towards Research-based Practice (pp. 339–362). Springer Netherlands. https://doi.org/10.1007/0-306-47977-X_15

  • Gregorcic, B., & Haglund, J. (2021). Conceptual blending as an interpretive lens for student engagement with technology: Exploring celestial motion on an interactive whiteboard. Research in Science Education, 51, 235–275. https://doi.org/10.1007/s11165-018-9794-8

    Article  Google Scholar 

  • Haciomeroglu, E. S., Aspinwall, L., & Presmeg, N. C. (2010). Contrasting cases of calculus students’ understanding of derivative graphs. Mathematical Thinking and Learning, 12(2), 152–176.

    Article  Google Scholar 

  • Hu, D., & Rebello, N. S. (2013). Using conceptual blending to describe how students use mathematical integrals in physics. Physical Review Special Topics-Physics Education Research, 9(2), 020118.

    Article  Google Scholar 

  • Huynh, T., & Sayre, E. C. (2019). Blending of conceptual physics and mathematical signs. ArXiv:1909.11618 [Physics]. http://arxiv.org/abs/1909.11618

  • Johansson, H. (2016). Mathematical reasoning requirements in Swedish national physics tests. International Journal of Science and Mathematics Education, 14(6), 1133–1152. https://doi.org/10.1007/s10763-015-9636-3

    Article  Google Scholar 

  • Kaiser, G., Blum, W., Ferri, R. B., & Stillman, G. (2011). Trends in teaching and learning of mathematical modelling: ICTMA14 (Vol. 1). Springer Science & Business Media.

  • Karam, R. (2015). Introduction of the thematic issue on the interplay of physics and mathematics. Science & Education, 24(5–6), 487–494.

    Article  Google Scholar 

  • Kesidou, S., & Duit, R. (1993). Students’ conceptions of the second law of thermodynamics-An interpretive study. Journal of Research in Science Teaching, 30(1), 85–106.

    Article  Google Scholar 

  • Leinhardt, G., Zaslavsky, O., & Stein, M. K. (1990). Functions, graphs, and graphing: Tasks, learning, and teaching. Review of Educational Research, 60(1), 1–64. https://doi.org/10.3102/00346543060001001

    Article  Google Scholar 

  • Linn, M. C., & Songer, N. B. (1991). Teaching thermodynamics to middle school students: What are appropriate cognitive demands? Journal of Research in Science Teaching, 28(10), 885–918. https://doi.org/10.1002/tea.3660281003

    Article  Google Scholar 

  • McDermott, L. C., Rosenquist, M. L., & Van Zee, E. H. (1987). Student difficulties in connecting graphs and physics: Examples from kinematics. American Journal of Physics, 55(6), 503–513.

    Article  Google Scholar 

  • Niss, M. (2017). Obstacles related to structuring for mathematization encountered by students when solving physics problems. International Journal of Science and Mathematics Education, 15(8), 1441–1462. https://doi.org/10.1007/s10763-016-9754-6

    Article  Google Scholar 

  • Planinic, M., Milin-Sipus, Z., Katic, H., Susac, A., & Ivanjek, L. (2012). Comparison of student understanding of line graph slope in physics and mathematics. International Journal of Science and Mathematics Education, 10(6), 1393–1414. https://doi.org/10.1007/s10763-012-9344-1

    Article  Google Scholar 

  • Pospiech, G., Michelini, M., & Eylon, B.-S. (Eds.). (2019). Mathematics in physics education. Springer International Publishing. https://doi.org/10.1007/978-3-030-04627-9

  • Redish, E. F., & Kuo, E. (2015). Language of physics, language of math: Disciplinary culture and dynamic epistemology. Science & Education, 24(5–6), 561–590.

    Article  Google Scholar 

  • Rodriguez, J.-M.G., Bain, K., & Towns, M. H. (2020). Graphical forms: The adaptation of Sherin’s symbolic forms for the analysis of graphical reasoning across disciplines. International Journal of Science and Mathematics Education, 18(8)1547–1563. https://doi.org/10.1007/s10763-019-10025-0

    Article  Google Scholar 

  • Rodriguez, J.-M.G., Bain, K., Towns, M. H., Elmgren, M., & Ho, F. M. (2019). Covariational reasoning and mathematical narratives: Investigating students’ understanding of graphs in chemical kinetics. Chemistry Education Research and Practice, 20(1), 107–119. https://doi.org/10.1039/C8RP00156A

    Article  Google Scholar 

  • Rodriguez, J.-M.G., Santos-Diaz, S., Bain, K., & Towns, M. H. (2018). Using symbolic and graphical forms to analyze students’ mathematical reasoning in chemical kinetics. Journal of Chemical Education, 95(12), 2114–2125. https://doi.org/10.1021/acs.jchemed.8b00584

    Article  Google Scholar 

  • Roth, W.-M., & Bowen, G. M. (2003). When are graphs worth ten thousand words? An Expert-Expert Study. Cognition and Instruction, 21(4), 429–473.

    Article  Google Scholar 

  • Roundy, D., Bridget Kustusch, M., & Manogue, C. (2014). Name the experiment! Interpreting thermodynamic derivatives as thought experiments. American Journal of Physics, 82(1), 39–46. https://doi.org/10.1119/1.4824548

    Article  Google Scholar 

  • Schermerhorn, B. (2018). Investigating student understanding of vector calculus in upper-division electricity and magnetism: Construction and determination of differential element in non-cartesian coordinate systems [University of Maine]. https://digitalcommons.library.umaine.edu/etd/2844

  • Schermerhorn, B. P., & Thompson, J. R. (2019). Physics students’ construction of differential length vectors in an unconventional spherical coordinate system. Physical Review Physics Education Research, 15(1), 010111. https://doi.org/10.1103/PhysRevPhysEducRes.15.010111

    Article  Google Scholar 

  • Shah, P., Mayer, R. E., & Hegarty, M. (1999). Graphs as aids to knowledge construction: Signaling techniques for guiding the process of graph comprehension. Journal of Educational Psychology, 91(4), 690–702.

    Article  Google Scholar 

  • Sherin, B. L. (2001). How students understand physics equations. Cognition and Instruction, 19(4), 479–541.

    Article  Google Scholar 

  • Thompson, J. R., Bucy, B. R., & Mountcastle, D. B. (2006). Assessing student understanding of partial derivatives in thermodynamics. AIP Conference Proceedings, 818(1), 77-80. https://doi.org/10.1063/1.2177027

    Article  Google Scholar 

  • Thompson, J. R., Manogue, C. A., Roundy, D. J., & Mountcastle, D. B. (2012). Representations of partial derivatives in thermodynamics. AIP Conference Proceedings, 1413, 85–88.

    Article  Google Scholar 

  • Uhden, O., Karam, R., Pietrocola, M., & Pospiech, G. (2012). Modelling mathematical reasoning in physics education. Science & Education, 21(4), 485–506.

    Article  Google Scholar 

  • Wilcox, B. R., Caballero, M. D., Rehn, D. A., & Pollock, S. J. (2013). Analytic framework for students’ use of mathematics in upper-division physics. Physical Review Special Topics-Physics Education Research, 9(2), 020119.

    Article  Google Scholar 

  • Zandieh, M. (2000). A theoretical framework for analyzing student understanding of the concept of derivative. CBMS Issues in Mathematics Education, 8, 103–127.

    Article  Google Scholar 

  • Zandieh, M., Roh, K. H., & Knapp, J. (2014). Conceptual blending: Student reasoning when proving “conditional implies conditional” statements. Journal of Mathematical Behavior, 33(C), 209–229. https://doi.org/10.1016/j.jmathb.2013.11.007

    Article  Google Scholar 

  • Zavala, G., Tejeda, S., Barniol, P., & Beichner, R. J. (2017). Modifying the test of understanding graphs in kinematics. Physical Review Physics Education Research, 13(2), 020111.

    Article  Google Scholar 

  • Zazkis, D. (2013). Prompted and unprompted transitions between representational modes in calculus. In M. Martinez & A. Castro Superfne (Eds.), Proceedings of the 35th annual meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (pp. 1232-1239). University of Illinois at Chicago.

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We want to thank all participating students for their voluntarily participation to our interviews.

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Correspondence to Sofie Van den Eynde or Mieke De Cock.

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Van den Eynde, S., Goedhart, M., Deprez, J. et al. Role of Graphs in Blending Physical and Mathematical Meaning of Partial Derivatives in the Context of the Heat Equation. Int J of Sci and Math Educ 21, 25–47 (2023). https://doi.org/10.1007/s10763-021-10237-3

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