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Different Types of Algebraic Thinking: an Empirical Study Focusing on Middle School Students

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Abstract

Central in the frameworks that describe algebra from K-12 is the idea that algebraic thinking is not a single construct, but consists of several algebraic thinking strands. Validation studies exploring this idea are relatively scarce. This study used structural equation modeling techniques to analyze data of middle school students’ performance on tasks that correspond to four algebraic thinking strands: (i) Generalized Arithmetic, (ii) Functional Thinking, (iii) Modeling Languages, and (iv) Algebraic Proof. The study also examined the role that cognitive abilities play in students’ algebraic thinking. Results emerging from confirmatory factor analysis showed that the proposed model adequately explains students’ algebraic thinking. Additionally, results emerging form latent path analysis showed that students are first able to solve Functional Thinking tasks and only when this is achieved, they proceed to solve Generalized Arithmetic tasks, then Modeling Languages tasks, and finally Algebraic Proof tasks. Lastly, the quantitative analyses indicated that students’ cognitive abilities (analogical, serial, and spatial reasoning) predict students’ algebraic thinking abilities.

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References

  • Altieri, M. B., et al. (2008). California mathematics. Concepts, skills, and problem solving 4. Glencoe: McGraw-Hill.

    Google Scholar 

  • Arcavi, A. (1994). Symbol sense: Informal sense-making in formal mathematics. For the Learning of Mathematics, 14(3), 24–35.

    Google Scholar 

  • Bastable, V., & Schifter, D. (2008). Classroom stories: Examples of elementary students engaged in early algebra. In J. Kaput, D. Carraher, & M. Blanton (Eds.), Algebra in the early grades (pp. 165–184). Mahwah, NJ: Lawrence Erlbaum.

  • Blanton, M. L., & Kaput, J. (2005). Characterizing a classroom practice that promotes algebraic reasoning. Journal for Research in Mathematics Education, 36(5), 412–446. https://doi.org/10.2307/30034944.

    Article  Google Scholar 

  • Chimoni, M., & Pitta-Pantazi, D. (2017). Parsing the notion of algebraic thinking within a cognitive perspective. Journal of Educational Psychology: An International Journal of Experimental Educational Psychology, 37(10)1186-1205. https://doi.org/10.1080/01443410.2017.1347252.

  • Chimoni, M., Pitta-Pantazi, D., & Christou, C. (2018). Examining early algebraic thinking: Insights from empirical data. Educational Studies in Mathematics, 98(1), 57-76. https://doi.org/10.1007/s10649-018-9803-x.

  • Carpenter, T. P., Franke, M. L., & Levi, L. W. (2003). Thinking mathematically: Integrating arithmetic and algebra in elementary school. Portsmouth, England: Heinemann.

  • Carraher, D. W., Schliemann, A. D., Brizuela, B. M., & Earnest, D. (2006). Arithmetic and algebra in early mathematics education. Journal for Research in Mathematics Education, 37(2), 87–115.

    Google Scholar 

  • Carraher, D. W., & Schliemann, A. D (2007). Early algebra and algebraic reasoning. In F. Lester (Ed.), Handbook of research in mathematics education (pp. 669–705). Greenwich: Information Age Publishing.

  • Cyprus Ministry of Education and Culture (2016). Cypriot Mathematics National Curriculum (2nd Edition). http://www.moec.gov.cy/analytika_programmata/programmata_spoudon.html. Accessed June 2019.

  • Ellis, A. B. (2007). Connections between generalizing and justifying: Students’ reasoning with linear relationships. Journal for Research in Mathematics Education, 38(3), 194–229. https://doi.org/10.2307/30034866.

    Article  Google Scholar 

  • English, L. D., & Sharry, P. V. (1996). Analogical reasoning and the development of algebraic abstraction. Educational Studies in Mathematics, 30(2), 135–157. https://doi.org/10.1007/BF00302627.

    Article  Google Scholar 

  • Fuchs, L. S., Compton, D. L., Fuchs, D., Powell, S. R., Schumacher, R. F., Hamlett, C. L., & Vukovic, R. K. (2012). Contributions of domain-general cognitive resources and different forms of arithmetic development to pre-algebraic knowledge. Developmental Psychology, 48(5), 1315–1326. https://doi.org/10.1037/a0027475.

    Article  Google Scholar 

  • Fujii, T. & Stephens, M. (2001). Fostering understanding of algebraic generalisation through numerical expressions: The role of the quasi-variables. In H. Chick, K. Stacey, J. Vincent, & J. Vincent (Eds.), Proceedings of the 12th ICMI study conference: The future of the teaching and learning of algebra (Vol. 1, pp. 258–264). Melbourne, Australia: The University of Melbourne.

  • Hanna, G., & Barbeau, E. (2008). Proofs as bearers of mathematical knowledge. ZDM, 40, 345–353.

    Article  Google Scholar 

  • Healy, L., & Hoyles, C. (2000). A study of proof conception in algebra. Journal for Research in Mathematics Education, 31(4), 396–428. https://doi.org/10.2307/749651.

    Article  Google Scholar 

  • IEA. (2013). Timss 2011 user guide for the international database. TIMSS & PIRLS International Study Center.

  • Kaput, J. J. (1998). Transforming algebra from an engine of inequity to an engine of mathematical power by “algebrafying” the K–12 curriculum. In National Council of Teachers of Mathematics, Mathematical Sciences Education Board, & National Research Council (Ed.), The nature and role of algebra in the K–14 curriculum: Proceedings of a National Symposium (pp. 25–26). Washington, DC: National Academies Press.

    Google Scholar 

  • Kaput, J. J. (2008). What is algebra? What is algebraic reasoning? In J. Kaput, D. W. Carraher, & M. L. Blanton (Eds). Algebra in the early grades (pp. 5–17). New York, NY: Routledge.

  • Kieran, C. (1996). The changing face of school algebra. In C. Alsina, J. Alvarez, B. Hodgson, C. Laborde, & A. Pérez (Eds.), 8th international congress on mathematical education: Selected lectures (pp. 271–290). Seville, Spain: S. A. E. M. Thales.

  • Kieran, C. (2004). Algebraic thinking in the early grades: What is it? The Mathematics Educator, 8(1), 139–151.

    Google Scholar 

  • Kieran, C. (2011). Overall commentary on early algebraization: Perspectives for research and teaching. In J. Cai & E. Knuth (Eds.), Early Algebraization. A global dialogue from multiple perspectives (pp. 579–593). Berlín, Alemania: Springer-Verlag.

  • Kieran, C., Pang, J., Schifter, D., & Ng, S.F. (2016). Early algebra: Research into its nature, its learning, its teaching. In G. Kaiser (Eds.), ICME-13 Topical Surveys. Springer Open.

  • Lee, K., Ng, S. F., Ng, E. L., & Lim, Z. Y. (2004). Working memory and literacy as predictors of performance on algebraic word problems. Journal of Experimental Child Psychology, 89(2), 140–158.

    Article  Google Scholar 

  • Lins, R. (1992). A framework for understanding what algebraic thinking is (Unpublished doctoral dissertation). Shell Centre for Mathematical Education/Nottingham University, UK.

  • Marcoulides, G. A., & Schumacker, R. E. (1996). Advanced structural equation modeling: Issues and techniques. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc. Publishers.

    Google Scholar 

  • Martinez, M. V., Brizuela, B. M., & Superfine, A. C. (2011). Integrating algebra and proof in high school mathematics: An exploratory study. Journal of Mathematical Behavior, 30(1), 30–47. https://doi.org/10.1016/j.jmathb.2010.11.002.

    Article  Google Scholar 

  • Mason, J., & Sutherland, R. (2002). Key aspects of teaching algebra in schools. UK: QCA.

    Google Scholar 

  • Mathews, P. G., Rittle-Johnson, B., McEldoon, K. L., & Taylor, R. T. (2012). Measure for measure: What combining diverse measures reveals about children’s understanding of the equal sign as an indicator of mathematical equality. Journal for Research in Mathematics Education, 43(3), 316–350. https://doi.org/10.5951/jresematheduc.43.3.0316.

    Article  Google Scholar 

  • Mayer, R. (2004). Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. American Psychologist, 59, 14–19.

    Article  Google Scholar 

  • Mulligan, J., & Mitchelmore, M. (2009). Awareness of pattern and structure in early mathematical development. Mathematics Education Research Journal, 21(2), 33–49. https://doi.org/10.1007/BF03217544.

    Article  Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (2010). Mplus user’s guide: Statistical analysis with latent variables: User’s guide (6th ed.). Los Angeles: Muthén & Muthén.

    Google Scholar 

  • Naglieri, J. A. (2003). Naglieri nonverbal ability tests. In R. S. McCallum (Ed.), Handbook of nonverbal assessment (pp. 175–189). Boston, MA: Springer.

    Chapter  Google Scholar 

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

    Google Scholar 

  • Pedemonte, B. (2008). Argumentation and algebraic proof. ZDM, 40(3), 385–400. https://doi.org/10.1007/s11858-008-0085-0.

    Article  Google Scholar 

  • Radford, L. (2000). Sings and meanings in students’ emergent algebraic thinking: A semiotic analysis. Educational Studies in Mathematics, 42(3), 237–268. https://doi.org/10.1023/A:1017530828058.

    Article  Google Scholar 

  • Radford, L. (2008). Iconicity and contraction: A semiotic investigation of forms of algebraic generalizations of patterns in different contexts. ZDM, 40(1), 83–96. https://doi.org/10.1007/s11858-007-0061-0.

    Article  Google Scholar 

  • Radford, L. (2014). The progressive development of early embodied algebraic thinking. Mathematics Education Research Journal, 26(2), 257–277. https://doi.org/10.1007/s13394-013-0087-2.

    Article  Google Scholar 

  • Rivera, F. D., & Becker, J. R. (2007). Abduction – Induction (generalisation) processes of elementary majors on figural patterns of algebra. Journal of Mathematical Behavior, 26(2), 140–155. https://doi.org/10.1016/j.jmathb.2007.05.001.

    Article  Google Scholar 

  • Sandefur, J., Mason, J., Stylianides, G. J., & Watson, A. (2013). Generating and using examples in the proving process. Educational Studies in Mathematics, 83(3), 323–340. https://doi.org/10.1007/s10649-012-9459-x.

    Article  Google Scholar 

  • Smith, E., (2008). Representational thinking as a framework for introducing functions in the elementary curriculum. In J. J. Kaput, D. W. Carraher, & M. L. Blanton (Eds.), Algebra in the early grades (pp. 133–160). New York, NY: Erlbaum.

  • Stephens, A. C., Fonger, N., Strachota, S., Isler, I., Vlanton, M., Knuth, E., & Gardiner, A. M. (2017). A learning progression for elementary students’ functional thinking. Mathematical Thinking and Learning, 19(3), 143–166. https://doi.org/10.1080/10986065.2017.1328636.

    Article  Google Scholar 

  • Susac, A., Bubic, A., Vrbanc, A., & Planinic, M. (2014). Development of abstract mathematical reasoning: The case of algebra. Frontiers in Human Neuroscience., 8, 679. https://doi.org/10.3389/fnhum.2014.00679.

    Article  Google Scholar 

  • Tolar, T. D., Lederberg, A. R., & Fletcher, J. M. (2009). A structural model of algebra achievement: Computational fluency and spatial visualisation as mediators of the effect of working memory on algebra achievement. Educational Psychology, 29, 239–266. https://doi.org/10.1080/01443410802708903.

    Article  Google Scholar 

  • Wassermann, N. H (2016). Abstract algebra for algebra teaching: Influencing school mathematics instruction. Canadian Journal of Science, Mathematics, and Technology Education, 16(1), 28–74. https://doi.org/10.1080/14926156.2015.1093200.

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Correspondence to Demetra Pitta-Pantazi.

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Pitta-Pantazi, D., Chimoni, M. & Christou, C. Different Types of Algebraic Thinking: an Empirical Study Focusing on Middle School Students. Int J of Sci and Math Educ 18, 965–984 (2020). https://doi.org/10.1007/s10763-019-10003-6

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