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The Use of Traditional Algorithmic Versus Instruction with Multiple Representations: Impact on Pre-Algebra Students' Achievement with Fractions, Decimals, and Percent  

Han, Sunyoung (Sungkyunkwan University)
Flores, Raymond (Texas Tech University)
Inan, Fethi A. (Texas Tech University)
Koontz, Esther (Horace Mann Dual Language Magnet School)
Publication Information
School Mathematics / v.18, no.2, 2016 , pp. 257-275 More about this Journal
Abstract
The purpose of this study was to investigate the impact of multiple representations on students' understanding of fractions, decimals, and percent. The instructional approach integrating multiple representations was compared to traditional algorithmic instruction, a form of direct instruction. To examine and compare the impact of multiple representations instruction with traditional algorithmic instruction, pre and post tests consisting of five similar items were administered with 87 middle school students. Students' scores in these two tests and their problem solving processes were analyzed quantitatively and qualitatively. The quantitative results indicated that students taught by traditional algorithmic instruction showed higher scores on the post-test than students in the multiple representations group. Furthermore, findings suggest that instruction using multiple representations does not guarantee a positive impact on students' understanding of mathematical concepts. Qualitative results suggest that the limited use of multiple representations during a class may have hindered students from applying their use in novel problem situations. Therefore, when using multiple representations, teachers should employ more diverse examples and practice with multiple representations to help students to use them without error.
Keywords
multiple representation; traditional algorithmic instruction; mathematical error; fraction; decimal; percent;
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1 Ainsworth, S., Bibby, P., & Wood, D. (2002). Examining the effects of different multiple representational systems in learning primary mathematics. Journal of the Learning Sciences, 11(1), 25-61.   DOI
2 Bottoms, G. (2003). Getting students ready for Algebra I: What middle grades students need to know and be able to do (Report No. 02V52). Atlanta, GA: Southern Regional Education Board. (ERIC Document Reproduction Service No. ED476617).
3 Bruner, J. (1966). Toward a Theory of Instruction. Cambridge, MA: Harvard University Press.
4 Donovan, M. S., & Bransford, J. D. (Eds.). (2005). How students learn: Mathematics in the classroom. Washington D. C.: The National Academies Press.
5 SPSS Inc. (2013). SPSS 22.0 for Windows. [Computer software]. Chicago: SPSS Inc.
6 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(2), 213-226.   DOI
7 Teddlie, C., & Tashakkori, A. (2006). Foundations of mixed methods research. Thousand Oaks, CA: Sage.
8 Van den Heuvel-Panhuizen, M. (2003). The didactical use of models in realistic mathematics education: An example from a longitudinal trajectory on percentage. Educational Studies in Mathematics, 54, 9-35.   DOI
9 Van Merrienboer, J. J., & Kirschner, P. A. (2012). Ten steps to complex learning: A systematic approach to four-component instructional design. Routledge.
10 Creswell, J. W., & Plano Clark, V. L. (2011). Designing and conducting mixed methods research (2nded.). Thousand Oaks, CA: Sage.
11 Greeno, J. G. (1987). Instructional representations based on research about understanding. In A. H. Schoenfeld (Ed.), Cognitive science and mathematics education (pp. 61-88). New York: Academic Press.
12 Duval, R. (1999). Representation, vision and visualization: Cognitive functions in mathematical thinking. Basic issues for learning. In F. Hitt &M. Santos (Eds.), Proceedings of the 21st Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (Vol. 1, pp. 3-26). Columbus, OH: ERIC Clearinghouse for Science, Mathematics, and Environmental Education. (ERIC Document Reproduction Service No. ED433998)
13 Fosnot, C. T., & Dolk, M. (2002). Young mathematicians at work: constructing fractions, decimals, and percents. Portsmouth, NH: Heinemann.
14 Freudenthal, H. (1991). Revisiting mathematics education china lectures, Dordrecht: Kluwer Academic Publishers.
15 Greeno, J. G., & Hall, R. P. (1997). Practicing representation: Learning with and about representational forms. Phi Delta Kappan, 78, 361-367.
16 Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14-26. doi:10.3102/0013189X033007014   DOI
17 Heritage, M., & Niemi, D. (2006). Toward a framework for using student mathematical representations as formative assessments. Educational Assessment, 11(3-4), 265-282.   DOI
18 Huck, S. W. (2008). Reading statistics and research. Boston, MA: Pearson Education.
19 Jigyel, K., & Afamasaga-Fuata'i, K. (2007). Students' conceptions of models of fractions and equivalence. Australian Mathematics Teacher, 63(4), 17-25.
20 Lamon, S. J. (2001). Presenting and representing: From fractions to rational numbers. In A. A. Cuoco & F. R. Curcio (Eds.), The Roles of Representation in School Mathematics (pp. 146-165). Reston, Virginia: National Council of Teachers of Mathematics.
21 Muzheve, M. T., & Capraro, R. M. (2006). An exploration of the role natural language and idiosyncratic representations in teaching how to convert among fractions, decimals, and percents. The Journal of Mathematics Behavior, 31, 1-14.
22 Nastasi, B. K., Hitchcock, J. H., & Brown, L. M. (2010). An inclusive framework for conceptualizing mixed methods design typologies. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (2nd ed., pp. 305-338). Thousand Oaks, CA: Sage.
23 Ng, S. F., & Lee, K. (2009). The model method: Singapore children's tool for representing and solving algebraic word problems. Journal for Research in Mathematics Education, 40(3), 282-313
24 National Council of Teachers of Mathematics. (2000). Principles and standards for school mathematics. Reston, VA: Author.
25 National Research Council. (2001). Adding it up: Helping children learn mathematics. J. Kilpatrick, J. Swafford, and B. Findell (Eds.). Mathematics Learning Study Committee, Center for Education, Division of Behavioral and Social Sciences and Education. Washington, DC: National Academy Press.
26 Newton, K. J., & Sands, J. (2012). Why don't we just divide across? Mathematics Teaching in the Middle School, 17(6), 340-345.   DOI
27 Niemi, D. (1996). Assessing conceptual understanding in mathematics: Representations, problem solutions, justification and explanations. Journal of Educational Research, 89, 351-363.   DOI
28 Onwuegbuzie, A. J., & Teddlie, C. (2003). A framework for analyzing data in mixed methods research. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (pp. 351-383). Thousand Oaks, CA: Sage.
29 Piaget, J. (1957). Construction of reality in the child. London: Routledge & Kegan Paul.
30 Radford, L. (2003). Gestures, speech, and sprouting of signs: A semiotic-cultural approach to students' types of generalization, Mathematical Thinking and Learning, 5(1), 37-70.   DOI
31 Rasmussen, C., Heck, D. J., Tarr, J. E., Knuth, E., White, D. Y., Lambdin, D. V., . . . Barnes, D. (2011). Trends and issues in high school mathematics: research insights and needs. Journal for Research in Mathematics Education, 42(3), 204-219.   DOI
32 Schnotz, W., & Bannert, M. (2003). Construction and interference in learning from multiple representations. Learning and Instruction, 13(2), 141-156.   DOI
33 Saxe, G. B., Taylor, E. V., McIntosh, C., & Gearhart, M. (2005). Representing fractions with standard notation: A developmental analysis. Journal for Research in Mathematics Education, 36(2), 137-157.
34 Shaughnessy, M. M. (2011). Identify fractions and decimals on a number line. Teaching Children Mathematics, 17(7), 428-434.