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Teaching students to apply formula using instructional materials: a case of a Singapore teacher’s practice

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Abstract

It is easy to dismiss the work of “teaching students to apply formula” as a low-order priority and thus trivialises the professional knowledge associated with this practice. Our encounter with an experienced teacher—through the examination of her practices and elaborations—challenges this simplistic assumption. There are layers of complexities that are as yet under-discussed in the existing literature. This paper reports a case study of her practices that reflect a complex integration of relevant theories in task design. Through examining her praxis around the theme of “recognise the form”, we discuss theoretical ideas that can potentially advance principles in the sequencing of examples for the purpose of helping students develop proficiency in applying formula.

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References

  • Atkinson, R. K., Derry, S. J., Renkl, A., & Wortham, D. (2000). Learning from examples: Instructional principles from the worked example research. Review of Educational Research, 70(2), 181–214.

    Article  Google Scholar 

  • Baroody, A. J., Feil, Y., & Johnson, A. R. (2007). An alternative reconceptualization of procedural and conceptual knowledge. Journal for Research in Mathematics Education, 38, 115–131.

    Google Scholar 

  • Byrnes, J. P., & Wasik, B. A. (1991). Role of conceptual knowledge in mathematical procedural learning. Developmental Psychology, 27, 777–786.

    Article  Google Scholar 

  • Carroll, W. M. (1994). Using worked examples as an instructional support in the algebra classroom. Journal of Mathematical Psychology, 86, 360–367.

    Google Scholar 

  • Cheng, E., & Lo, M. (2013). Learning Study: Its origins, operationalisation, and implications, OECD Education Working Papers, No. 94. OECD publishing: Paris.

  • Crooks, N. M., & Alibali, M. W. (2014). Defining and measuring conceptual knowledge in mathematics. Developmental Review, 34, 344–377.

    Article  Google Scholar 

  • Flores, R., Koontz, E., Inan, F., & Alagic, M. (2015). Multiple representation instruction first versus traditional algorithmic instruction first: Impact in middle school mathematics classrooms. Educational Studies in Mathematics, 89(2), 267–281.

    Article  Google Scholar 

  • Grouws, D. A., Howald, C. L., & Calangelo, N. (1996). Students’ conception of mathematics: a comparison of mathematically talented students and typical high school algebra students. Paper presented at the American Educational Research Association, New York. (ERIC Document Reproduction Service No. ED 395783)

  • Hiebert, J., Gallimore, R., & Stigler, J. W. (2002). A knowledge base for the teaching profession: What would it look like and how can we get one? Educational Researcher, 31(5), 3–15.

    Article  Google Scholar 

  • Kilpatrick, J., Swafford, J., & Findell, B. (2001). Adding it up: Helping children learn mathematics. Washington: National Academy Press.

    Google Scholar 

  • Klymchuk, S. (2015). Provocative mathematics questions: drawing attention to a lack of attention. Teaching Mathematics and Its Applications: An International Journal of the IMA, 34(2), 63–70.

    Article  Google Scholar 

  • Leong, Y.H. (2008). Problems of teaching mathematics in a reform-oriented Singapore classroom. (Unpublished Doctoral Dissertation). University of Melbourne, Australia.

  • Leong, Y.H., Cheng, L.P., Toh, W.Y., Kaur, B., & Toh, T.L. (2019). Making things explicit using instructional materials: A case study of a Singapore teacher’s practice. Mathematics Education Research Journal, 31(1), 47–66.

  • Mann, M., & Enderson, M. C. (2017). Give me a formula not the concept! Student preference to mathematical problem solving. Journal for Advancement of Marketing Education, 25, 15–24.

    Google Scholar 

  • Marton, F., & Booth, S. (1997). Learning and awareness. Mahwah: Lawrence Erlbaum Associates, Inc..

    Google Scholar 

  • Marton, F., & Pang, M. F. (2006). On some necessary conditions of learning. The Journal of the Learning Sciences, 15(2), 193–220.

    Article  Google Scholar 

  • National Council of Teachers of Mathematics. (1989). Curriculum and evaluation standards for school mathematics. Reston: Author.

    Google Scholar 

  • National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston: Author.

    Google Scholar 

  • Paas, F., van Gog, T., & Sweller, J. (2010). Cognitive load theory: new conceptualisations, specifications, and integrated research perspectives. Educational Psychology Review, 22(2), 115–121.

    Article  Google Scholar 

  • Pang, M. F., Marton, F., Bao, J., & Ki, W. W. (2016). Teaching to add three-digit numbers in Hong Kong and Shanghai: illustration of differences in the systematic use of variation and invariance. ZDM, 48, 455–470.

    Article  Google Scholar 

  • Pawley, D., Ayres, P., & Cooper, M. (2005). Translating words into equations: a cognitive load theory approach. Educational Psychology, 25(1), 75–97.

    Article  Google Scholar 

  • Phan, H. P., Ngu, B. H., & Yeung, A. S. (2017). Achieving optimal best: Instructional efficiency and the use of cognitive load theory in mathematical problem solving. Educational Psychology Review, 29(4), 667–692.

    Article  Google Scholar 

  • Rittle-Johnson, B., & Alibali, M. W. (1999). Conceptual and procedural knowledge of mathematics: does one lead to the other? Journal of Educational Psychology, 91(1), 175.

    Article  Google Scholar 

  • Rittle-Johnson, B., Schneider, M., & Star, J. R. (2015). Not a one-way street: bidirectional relations between procedural and conceptual knowledge of mathematics. Educational Psychology Review, 27, 587–597.

    Article  Google Scholar 

  • Runesson, U. (2005). Beyond discourse and interaction. Variation: a critical aspect for teaching and learning mathematics. Cambridge Journal of Education, 35(1), 69–87.

    Article  Google Scholar 

  • Schoenfeld, A. H. (1985). Mathematical problem solving. Orlando: Academic Press.

    Google Scholar 

  • Skemp, R. (1976). Relational understanding and instrumental understanding. Mathematics Teaching, 77, 20–26.

    Google Scholar 

  • Stipek, D. J., Givvin, K. B., Salmon, J. M., & MacGyvers, V. L. (2001). Teachers’ beliefs and practices related to mathematics instruction. Teaching and Teacher Education, 17, 213–226.

    Article  Google Scholar 

  • Sullivan, P., Borcek, C., Walker, N., & Rennie, M. (2016). Exploring a structure for mathematics lessons that initiate learning by activating cognition on challenging tasks. Journal of Mathematical Behavior, 41, 159–170.

    Article  Google Scholar 

  • Sweller, J. (1988). Cognitive load during problem solving: effects on learning. Cognitive Science, 12, 257–285.

    Article  Google Scholar 

  • Sweller, J., Kalyuga, S., & Ayres, P. (2011). Cognitive load theory. New York: Springer.

    Book  Google Scholar 

  • Vale, C., Widjaja, W., Herbert, S., Bragg, L. A., & Loong, E. Y. (2017). Mapping variations in children’s mathematical reasoning: the case of “What else belongs?”. International Journal of Science and Mathematics Education, 15, 872–893.

    Article  Google Scholar 

  • van Merrienboer, J. J. G., & Sweller, J. (2005). Cognitive load theory and complex learning: recent developments and future direction. Educational Psychology Review, 17(2), 147–177.

    Article  Google Scholar 

  • Ward, M., & Sweller, J. (1990). Structuring effective worked examples. Cognition and Instruction, 7, 1–39.

    Article  Google Scholar 

  • Watson, A., & Mason, J. (2006). Seeing an exercise as a single mathematical object: using variation to structure sense-making. Mathematical Think and Learning, 8(2), 91–111.

    Article  Google Scholar 

  • Zaslavsky, O., & Zodik, I. (2007). Mathematics teachers’ choice of examples that potentially support or impede learning. Research in Mathematics Education, 9(1), 143–155.

    Article  Google Scholar 

  • Zhu, X., & Simon, H. A. (1987). Learning mathematics from examples and by doing. Cognition and Instruction, 4, 137–166.

    Article  Google Scholar 

  • Zodik, I., & Zaslavsky, O. (2008). Characteristics of teachers’ choice of examples in and for the mathematics classroom. Educational Studies in Mathematics, 69(2), 165–182.

    Article  Google Scholar 

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Funding

The investigation reported in this paper is part of a larger research project known as “A study of the enacted school mathematics curriculum” (Grant number: OER 31/15 BK) funded by the Office of Educational Research, National Institute of Education, Nanyang Technological University, Singapore.

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Correspondence to Toh Wei Yeng Karen.

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Leong, Y., Cheng, L., Toh, W. et al. Teaching students to apply formula using instructional materials: a case of a Singapore teacher’s practice. Math Ed Res J 33, 89–111 (2021). https://doi.org/10.1007/s13394-019-00290-1

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