Students’ Learning Trajectories in Understanding Linear Equations System with Three Variables (SPLTV)

Authors

  • Yenny Anggreini Sarumaha Universitas Cokroaminoto Yogyakarta
  • Dian Khairiani Universitas Cokroaminoto Yogyakarta
  • Fadhila Syarifatun Amirah Universitas Cokroaminoto Yogyakarta

DOI:

https://doi.org/10.31980/plusminus.v5i3.3528

Keywords:

lintasan belajar, HLT, RME, penelitian desain, SPLTV, learning trajectory, design research

Abstract

This study aims to describe the alignment of hypothetical learning trajectories (HLT) in SPLTV designed with the actual learning processes that occur in the classroom and the reasoning processes students go through in understanding SPLTV. This present study is the result of the first cycle of the design research method with three stages, namely preliminary design, teaching experiment, and retrospective analysis. Data collection was carried out through interviews with teachers and students, observation in the classroom, study of students' answer sheets during the teaching experiment, and analysis of photos or videos taken during the research. Data analysis was conducted by using data triangulation, which involves comparing the HLT designed as a reference with the actual learning that occurred and reviewing the results of observations, documentation, digital footprints, and interviews. The research findings indicate that students’ learning trajectories develop through levels of thinking, from understanding basic algebraic concepts to discovering formal procedures for solving SPLTV. The study concludes that HLT, designed as a local learning instruction theory, can provide students’ reasoning paths and prove that appropriate instructional design supports the process of independent rediscovery without neglecting the necessary levels of understanding.

References

Afriansyah, E. A., & Arwadi, F. (2021). Learning Trajectory of Quadrilateral Applying Realistic Mathematics Education: Origami-Based Tasks. Mathematics Teaching Research Journal, 13(4), 42-78.

Afriansyah, E. A. (2022). Peran RME terhadap miskonsepsi siswa MTs pada materi bangun datar segi empat. Mosharafa: Jurnal Pendidikan Matematika, 11(3), 359-368. https://doi.org/10.31980/mosharafa.v11i3.727

Afriansyah, E. A., Nuraeni, R., Puspitasari, N., Sundayana, R., Jejen, J., Sumia, S., ... & Lesmana, A. (2023). Training of Realistic Mathematics Education Learning Approach in Salawu Village. Indonesian Journal of Community Empowerment (IJCE), 4(01), 26-32.

Baroody, A. J., Cibulskis, M., Lai, M., & Li, X. (2009). Comments on the Use of Learning Trajectories in Curriculum Development and Research. Mathematical Thinking and Learning, 6(2), 227–260. https://doi.org/10.1207/s15327833mtl0602

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.

Baroody, A. J., Clements, D. H., & Sarama, J. (2024). Does use of a hypothetical learning progression promote learning of the cardinal-count concept and give- n performance ? Journal of Mathematical Behavior, 76(October 2023), 101178. https://doi.org/10.1016/j.jmathb.2024.101178

Callejo, M. L., Pérez-Tyteca, P., Moreno, M., & Sánchez-Matamoros, G. (2022). The use of a length and measurement HLT by pre-service kindergarten teachers’ to notice children’s mathematical thinking. International Journal of Science and Mathematics Education, 20(3), 597-617.

Cevikbas, M., König, J., & Rothland, M. (2024). Empirical research on teacher competence in mathematics lesson planning : recent developments. ZDM – Mathematics Education, 56(1), 101–113. https://doi.org/10.1007/s11858-023-01487-2

Clements, D. H. (2011). Learning Trajectories: Foundation for Effective, Research-Based Education. Proceedings of the 33rd Annual Meeting of the NOrth American Chapter of the International Group for the Psychology of Mathematics Education, 365–372.

Clements, D. H., & Sarama, J. (2004). Learning Trajectories in Mathematics Education. Mathematical Thinking and Learning, 6(2), 81–89. https://doi.org/10.1126/science.1204537

Clements, D. H., Sarama, J., Baroody, A. J., & Joswick, C. (2020). Efficacy of a learning trajectory approach compared to a teach ‑ to ‑ target approach for addition and subtraction. ZDM, 2020. https://doi.org/10.1007/s11858-019-01122-z

Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (Fifth Edit). SAGE Publications, Inc.

Dijke-Droogers, M. V., Drijvers, P., & Bakker, A. (2022). Introducing Statistical Inference : Design of a Theoretically and Empirically Based Learning Trajectory. International Journal of Science and Mathematics Education, 1743–1766. https://doi.org/10.1007/s10763-021-10208-8

Ellis, A. B., Lockwood, E., Tillema, E., & Moore, K. (2022). Generalization across multiple mathematical domains: Relating, forming, and extending. Cognition and Instruction, 40(3), 351-384.

Fauzan, A., & Diana, F. (2020). Learning trajectory for teaching number patterns using RME approach in junior high schools. Journal of Physics: Conference Series, 1470(1). https://doi.org/10.1088/1742-6596/1470/1/012019

Fauzan, A., Nasuha, R., & Zafirah, A. (2024). The Roles of Learning Trajectory in Teaching Mathematics Using RME Approach. In Proceedings of the 14th International Congress on Mathematical Education: Volume II: Invited Lectures (pp. 197-209).

Fauziyah, N. (2023). Learning Trajectory in Problem-Based Mathematics Learning with Literacy and Numeracy Reinforcement : An Implementation of Lesson Study at Junior High School. JTAM (Jurnal Teori Dan Aplikasi Matematika), 7(2), 384–397.

Freudenthal, H., & Reidel, D. (1983). Didactical Phenomenology o f Mathematical Structures,.

Galen, F. van;, & Eerde, D. Van. (2019). Mathematical investigations for primary schools (April). IMPoMe project.

Gravemeijer, K. (2004). Creating opportunities for students to reinvent mathematics. ICME 10, 1–17.

Gravemeijer, K., & Cobb, P. (2006). Design research from a learning design perspective. In J. van den Akker (Ed.), Educational Design Research (Issue May 2014, pp. 45–85). Routledge.

Gravemeijer, K., Fauzan, A., & Plomp, T. (2013). The development of an rme-based geometry course for Indonesian primary schools. Educational Design Research – Part B: Illustrative Cases, 2013, 159–178.

Heuvel-Panhuizen, M. Van den. (2020). Mathematics in Teams—Developing Thinking Skills in Mathematics Education (M. Van den Heuvel-Panhuizen (ed.)). Springer. https://doi.org/10.1007/978-3-030-33824-4_2

Hoogland, K., Koning, J. De, Bakker, A., Pepin, B. E. U., & Gravemeijer, K. (2018). Changing representation in contextual mathematical problems from descriptive to depictive : The effect on students ’ performance. Studies in Educational Evaluation, 58(September), 122–131. https://doi.org/10.1016/j.stueduc.2018.06.004

Ivars, P., Fernández, C., Llinares, S., & Choy, B. H. (2018). Enhancing Noticing : Using a Hypothetical Learning Trajectory to Improve Pre-service Primary Teachers ’ Professional Discourse. EURASIA Journal of Mathematics, Science and Technology Education, 14(11).

Mutaqin, E. J., Herman, T., Wahyudin, W., & Muslihah, N. N. (2023). Hypothetical learning trajectory in place value concepts in elementary school. Mosharafa: Jurnal Pendidikan Matematika, 12(1), 125-134. https://doi.org/10.31980/mosharafa.v12i1.761

Nursyahidah, F., Albab, I. U., & Rubowo, M. R. (2025). Hypothetical Learning Trajectory for Ninth Graders’ Understanding of Curved Three-Dimensional Shapes through Javanese Ethno-Realistic Mathematics Education. Plusminus: Jurnal Pendidikan Matematika, 5(2), 299–314. https://doi.org/10.31980/plusminus.v5i2.2906

Pêgo, J. P., Miguéis, V. L., & Soeiro, A. (2024). Students’ complex trajectories: exploring degree change and time to degree. International Journal of Educational Technology in Higher Education, 21(1), 8.

Prihandhika, A., & Azizah, N. (2025). Rethinking How We Teach Derivatives Representation: The Framework of Hypothetical Learning Trajectory. Plusminus: Jurnal Pendidikan Matematika, 5(2), 315–326. https://doi.org/10.31980/plusminus.v5i2.2816

Prudencio, R. F., Maximo, M. R., & Colombini, E. L. (2023). A survey on offline reinforcement learning: Taxonomy, review, and open problems. IEEE Transactions on Neural Networks and Learning Systems, 35(8), 10237-10257.

Sari, I. K., Nasriadi, A., Salmina, M., Muzakir, U., Fajri, N., & Fitra, R. (2022). The Students’ Learning Trajectory in Geometry Concept by Using Local Instruction Theory Based on Realistic Mathematics Education Approach. Jurnal Ilmiah Teunuleh, The International Journal of Social Science, 3(4), 313–325.

Sari, F. Y., Zulkardi, Z., Putri, R. I. I., & Susanti, E. (2025). Learning Trajectory of Rate Material Using the Context of Plowing Rice Fields. Plusminus: Jurnal Pendidikan Matematika, 5(1), 141-154. https://doi.org/10.31980/plusminus.v5i1.2509

Sarumaha, Y. A. (2016). Perubahan Pembelajaran yang Berpusat pada Guru ke Berpusat pada Siswa. Intersections, 1(1), 1–10.

Sarumaha, Y. A., Putri, R. I. I., & Hartono, Y. (2018). Percentage Bar: A Model for Helping Fifth Grade Students Understand Percentages. Mosharafa, 7(2), 155–166.

Sarumaha, Y. A., & Rizkianto, I. (2025). Perancangan Soal Literasi Numerasi: Komponen dan Faktor yang Mempengaruhi Kinerja Guru. 6(1), 471–481.

Simon, M. A. (1995). Reconstructing Mathematics Pedagogy from Constructivist Perspective. Journal for Research in Mathematics Education, 26(2), 114–145.

Simon, M. A., & Tzur, R. (2004). Explicating the Role of Mathematical Tasks in Conceptual Learning: An Elaboration of the Hypothetical Learning Trajectory. Mathematical Thinking and Learning, 6(2), 91–104.

Tanggaard, L., & Elmholdt, C. (2007). Learning trajectories among educational psychologists. Studies in Continuing Education, 29(3), 295–314. https://doi.org/10.1080/01580370701628508

Umasugi, S. M., Sugiman;, Jana, P., & Kraiviset, P. (2022). Realistic Mathematics Education (RME)-Based Learning Trajectory for Arithmetic Social Using Culinary Context of Yogyakarta. Jurnal Kependidikan: Jurnal Hasil Penelitian Dan Kajian Kepustakaan Di Bidang Pendidikan, Pengajaran, Dan Pembelajaran, 8(4), 985–996.

Utari, R. S., Putri, R. I. I., Zulkardi, Z., & Hapizah, H. (2025). Bridging Theory and Practice: A Literature Review on Learning Trajectories in Statistical Literacy Instruction. Plusminus: Jurnal Pendidikan Matematika, 5(1), 1-16. https://doi.org/10.31980/plusminus.v5i1.2521

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. https://doi.org/10.4049/jimmunol.143.1.379

Van Den Heuvel-Panhuizen, M., & Drijvers, P. (2014). Realistic Mathematics Education. In S. Lerman (Ed.), Encyclopedia of Mathematics Education (pp. 521–525). Springer Dordrecht Heidelberg. https://doi.org/https://doi.org/10.1007/978-94-007-4978-8

Wood, T., Williams, G., & McNeal, B. (2006). Children’s mathematical thinking in different classroom cultures. Journal for Research in Mathematics Education, 37(3), 222–255.

Zahner, W., & Wynn, L. (2023). Rethinking Learning Trajectories in Light of Student Linguistic Diversity. Mathematical Thinking and Learning, 25(1), 100–114. https://doi.org/10.1080/10986065.2021.1931650

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Published

2025-11-30

How to Cite

Sarumaha, Y. A., Khairiani, D., & Amirah, F. S. (2025). Students’ Learning Trajectories in Understanding Linear Equations System with Three Variables (SPLTV). Plusminus: Jurnal Pendidikan Matematika, 5(3), 541–558. https://doi.org/10.31980/plusminus.v5i3.3528

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