From student difficulties to design of a hypothetical learning trajectory: The case of system of linear equations in two variables
Al Jupri 1 * , Dian Usdiyana 1, Ririn Sispiyati 1
More Detail
1 Department of Mathematics Education, Universitas Pendidikan Indonesia, Indonesia
* Corresponding Author

Abstract

This research aims to design a hypothetical learning trajectory for junior high school students in the case of systems of linear equations in two variables. The hypothetical learning trajectory is primarily designed according to the Realistic Mathematics Education (RME) theory to address students' difficulties. To do this, we carried out a two-stage qualitative case study. First, we investigated difficulties of 19 junior high school students (age 13-14 year-olds) when dealing with solving systems of equations in two variables and their application through an individual written test and interviews. Second, based on the first stage and the RME theory, we designed a hypothetical learning trajectory for the case of systems of linear equations in two variables. The results revealed that the main difficulties of the participants include, among others, transforming word problems into an appropriate mathematical model in the form of systems of linear equations of two variables, and making calculation or algebraic manipulation errors. Also, a hypothetical learning trajectory was designed, which consists of a learning goal, activities of the learning and teaching process, and predictions of student thinking and learning processes. In particular, we propose the use of the model method for overcoming difficulties in dealing with word problems. We conclude that the investigation of student difficulties provides fruitful information in the design process of hypothetical learning trajectory.

Keywords

References

  • Bakker, A., & Smith, J. (2016). Theory development in design-based research: An example about scaffolding mathematical language. In S. Doff & R. Komoss (Eds.), Making change happen (pp. 111-126). Springer. https://doi.org/10.1007/978-3-658-14979-6_11
  • Bakker, A. (2018). Design research in education: A practical guide for early career researchers. Routledge.
  • Baroody, A. J., Clements, D. H., & Sarama, J. (2022). Lessons learned from 10 experiments that tested the efficacy and assumptions of hypothetical learning trajectories. Education Sciences, 12(3), 195. https://doi.org/10.3390/educsci12030195
  • Bozkuş, F., Kalaycı, Ö., & Toluk Uçar, Z. (2025). An analysis of algebra lesson: Can apples and pears be added?. Journal of Pedagogical Research, 9(1), 274-295. https://doi.org/10.33902/JPR.202529564
  • Cañadas, M. C., Molina, M., & del Río, A. (2018). Meanings given to algebraic symbolism in problem-posing. Educational Studies in Mathematics, 98(1), 19-37. https://doi.org/10.1007/s10649-017-9797-9
  • Coles, A., & Sinclair, N. (2019). Re-thinking ‘concrete to abstract’in mathematics education: Towards the use of symbolically structured environments. Canadian Journal of Science, Mathematics and Technology Education, 19(4), 465-480. https://doi.org/10.1007/s42330-019-00068-4
  • Daroczy, G., Wolska, M., Meurers, W. D., & Nuerk, H. C. (2015). Word problems: A review of linguistic and numerical factors contributing to their difficulty. Frontiers in Psychology, 6, 348. https://doi.org/10.3389/fpsyg.2015.00348
  • Doorman, M., Drijvers, P., Dekker, T., van den Heuvel-Panhuizen, M., de Lange, J., & Wijers, M. (2007). Problem solving as a challenge for mathematics education in The Netherlands. ZDM, 39(5), 405-418. https://doi.org/10.1007/s11858-007-0043-2
  • Doorman, M., Drijvers, P., Gravemeijer, K., Boon, P., & Reed, H. (2012). Tool use and the development of the function concept: From repeated calculations to functional thinking. International Journal of Science and Mathematics Education, 10(6), 1243-1267. https://doi.org/10.1007/s10763-012-9329-0
  • Erbilgin, E., & Gningue, S. M. (2023). Using the onto-semiotic approach to analyze novice algebra learners’ meaning-making processes with different representations. Educational Studies in Mathematics, 114(2), 337-357. https://doi.org/10.1007/s10649-023-10247-8
  • Fredriksen, H. (2021). Exploring realistic mathematics education in a flipped classroom context at the tertiary level. International Journal of Science and Mathematics Education, 19(2), 377-396. https://doi.org/10.1007/s10763-020-10053-1
  • Fuchs, L. S., Seethaler, P. M., Sterba, S. K., Craddock, C., Fuchs, D., Compton, D. L., ... & Changas, P. (2021). Closing the word-problem achievement gap in first grade: Schema-based word-problem intervention with embedded language comprehension instruction. Journal of Educational Psychology, 113(1), 86-103. https://doi.org/10.1037/edu0000467
  • Glade, M., & Prediger, S. (2017). Students’ individual schematization pathways-empirical reconstructions for the case of part-of-part determination for fractions. Educational Studies in Mathematics, 94(2), 185-203. https://doi.org/10.1007/s10649-016-9716-5
  • Gravemeijer, K. (1994). Educational development and developmental research in mathematics education. Journal for Research in Mathematics Education, 25(5), 443-471. https://doi.org/10.5951/jresematheduc.25.5.0443
  • Gravemeijer, K., & Cobb, P. (2006). Design research from a learning design perspective. In J. van den Akker, K. Gravemeijer, S. McKenney, & N. Nieveen (Eds.), Educational design research (pp. 17–51). Routledge.
  • Gravemeijer, K., & Doorman, M. (1999). Context problems in realistic mathematics education: A calculus course as an example. Educational Studies in Mathematics, 39(1–3), 111–129. https://doi.org/10.1023/A:1003749919816
  • Gupta, U., & Zheng, R. Z. (2020). Cognitive load in solving mathematics problems: Validating the role of motivation and the interaction among prior knowledge, worked examples, and task difficulty. European Journal of STEM Education, 5(1), 5. https://doi.org/10.20897/ejsteme/9252
  • Irfan, M., Nusantara, T., Wijayanto, Z., & Widodo, S. A. (2019). Why do pre-service teachers use the two-variable linear equation system concept to solve the proportion problem?. In Journal of Physics: Conference Series, 1188(1), 012013. https://doi.org/10.1088/1742-6596/1188/1/012013
  • Jupri, A., Drijvers, P., & Van den Heuvel-Panhuizen, M. (2014). Difficulties in initial algebra learning in Indonesia. Mathematics Education Research Journal, 26(4), 683-710. https://doi.org/10.1007/s13394-013-0097-0
  • Jupri, A., & Drijvers, P. (2016). Student difficulties in mathematizing word problems in algebra. Eurasia Journal of Mathematics, Science, and Technology Education, 12(9), 2481-2502. https://doi.org/10.12973/eurasia.2016.1299a
  • Jupri, A., Usdiyana, D., & Sispiyati, R. (2020). Predictions of students’ thinking for the learning of system of linear equations in two variables. In L.S. Riza, E.C. Prima., T. Hadibarata., & P. J. Aubusson (Eds.), Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia (pp. 1-7). Universitas Pendidikan Indonesia. DOI: http://dx.doi.org/10.4108/eai.12-10-2019.2296322
  • Jupri, A., Usdiyana, D., & Gozali, S. M. (2024). Teaching and learning processes for pre-service mathematics teachers: The case of systems of equations. Eurasia Journal of Mathematics, Science and Technology Education, 20(8), em2482. https://doi.org/10.29333/ejmste/14858
  • Kaur, B. (2019). The why, what and how of the ‘Model’method: A tool for representing and visualising relationships when solving whole number arithmetic word problems. ZDM, 51(1), 151-168. https://doi.org/10.1007/s11858-018-1000-y
  • Laurens, T., Batlolona, F. A., Batlolona, J. R., & Leasa, M. (2017). How does realistic mathematics education (RME) improve students’ mathematics cognitive achievement?. Eurasia Journal of Mathematics, Science and Technology Education, 14(2), 569-578. https://doi.org/10.12973/ejmste/76959
  • Liu, Q., Du, X., Zhao, S., Liu, J., & Cai, J. (2019). The role of memorization in students’ self-reported mathematics learning: a large-scale study of Chinese eighth-grade students. Asia Pacific Education Review, 20(3), 361-374. https://doi.org/10.1007/s12564-019-09576-2
  • Mingke, G. P., & Alegre, E. M. (2019). Difficulties encountered in mathematical word problem solving of the grade six learners. International Journal of Scientific and Research Publications, 9(6), 336-345. http://dx.doi.org/10.29322/IJSRP.9.06.2019.p9053
  • Moss, D. L., & Lamberg, T. (2019). Conceptions of expressions and equations in early algebra: A learning trajectory. International Journal for Mathematics Teaching and Learning, 20(2), 170-192. https://doi.org/10.4256/ijmtl.v20i2.157
  • 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. https://doi.org/10.5951/jresematheduc.40.3.0282
  • Radford, L. (2022). Introducing equations in early algebra. ZDM–Mathematics Education, 54(6), 1151-1167. https://doi.org/10.1007/s11858-022-01422-x
  • Santoso, T., Nafis, H. L. H., & Oktama, M. Y. (2019). Analyzing students’ error in problem solving of two-variable linear equation system: A case study of grade eight students of Indonesian junior high school. International Journal of Learning, Teaching and Educational Research, 18(11), 283-296. https://doi.org/10.26803/ijlter.18.11.17
  • Simon, M. A. (1995). Reconstructing mathematics pedagogy from a constructivist perspective. Journal for Research in Mathematics Education, 26(2), 114–145. https://doi.org/10.5951/jresematheduc.26.2.0114
  • Simon, M. (2020). Hypothetical learning trajectories in mathematics education. In S. Lerman (Ed.), Encyclopedia of mathematics education (pp. 354-357). Springer. https://doi.org/10.1007/978-3-030-15789-0_72
  • Tanışlı, D., Türkmen, H., Turgut, M., & Köse, N. (2020). How a teacher professional development program influences students’ algebra performance? Reflections from a web-based platform. Journal of Pedagogical Research, 4(3), 327-343. https://doi.org/10.33902/JPR.2020464571
  • Van den Heuvel-Panhuizen, M. (2019). Didactics of mathematics in the Netherlands. In W. Blum, M. Artigue, M. A. Mariotti, R. Sträßer, & M. Van den Heuvel-Panhuizen (Eds.), European traditions in didactics of mathematics (pp. 57-94). Springer. https://doi.org/10.1007/978-3-030-05514-1_3
  • Van den Heuvel-Panhuizen, M., & Drijvers, P. (2020). Realistic mathematics education. In S. Lerman (Ed.), Encyclopedia of mathematics education (pp. 713-717). Springer International Publishing. https://doi.org/10.1007/978-3-030-15789-0_170
  • Van Zanten, M., & Van den Heuvel-Panhuizen, M. (2021). Mathematics curriculum reform and its implementation in textbooks: Early addition and subtraction in realistic mathematics education. Mathematics, 9(7), 752. https://doi.org/10.3390/math9070752
  • Verschaffel, L., Schukajlow, S., Star, J., & Van Dooren, W. (2020). Word problems in mathematics education: A survey. ZDM, 52(1), 1-16. https://doi.org/10.1007/s11858-020-01130-4
  • Yıldız, P., & Yetkin Özdemir, İ. E. (2021). Teacher subject matter knowledge for the meaningful transition from arithmetic to algebra. Journal of Pedagogical Research, 5(4), 172-188. https://doi.org/10.33902/JPR.2021474587
  • Yin, R. K. (2016). Qualitative research from start to finish. Guilford publications. https://doi.org/10.1111/fcsr.12144

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.