Developing a Hypothetical Learning Trajectory for Translation in Geometry Using the Chess Game Context

Anisa Rahmandani* -  Mathematics Education Study Program, Faculty of Mathematics and Natural Sciences, Universitas Negeri Surabaya, Indonesia
Ali Shodikin -  Mathematics Education Study Program, Faculty of Mathematics and Natural Sciences, Universitas Negeri Surabaya, Indonesia

Abstract


Students often find it difficult to learn the concept of translation because it is abstract and too procedural. This study aims to develop a learning trajectory (HLT) for geometry translation material with a chess game context. This study uses a design research method consisting of three stages, namely preliminary design, design experiment, and retrospective analysis. The learning path developed consists of four main activities: observing chess game videos and pawn movements as an introduction to the context, representing pawn movements on a Cartesian coordinate plane, identifying the characteristics of translation transformations, and discovering the formulas and concepts of translation. Based on the implementation results, this HLT can facilitate the development of students' understanding from symbolic to formal forms. Students can also convert pawn movements into a coordinate system and discover patterns of relationships that lead to the formulation of translation formulas. Additionally, the use of the chess game context has proven to enhance students' interest and engagement in learning. These findings indicate the potential of context-based HLT to function as a situational learning model that can apply geometric concepts.

Keywords


Chess; Hypothetical Learning Trajectory; Realistic Mathematics Education; Translation.

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References


Adha, I., Zulkardi, Putri, R. I. I., & Somakim. (2024). When designer meets local culture: The promising learning trajectory on the surface area of polyhedron. Journal on Mathematics Education, 15(3), 945–960. https://doi.org/10.22342/jme.v15i3.pp945-960

Akarsu, M. (2022). Understanding of Geometric Reflection: John’s learning path for geometric reflection. Kuramsal Eğitimbilim, 15(1), 64–89. https://doi.org/10.30831/akukeg.952022

Andzin, N. S., Sari, P. Y. P., Widodo, R. C., Sukowati, D. I., Indriastuti, S., & Nursyahidah, F. (2024). Arithmetic Sequences and Series Learning Using Realistic Mathematics Education Assisted by Augmented Reality. Jurnal Pendidikan Matematika, 18(1), 139–148. https://doi.org/10.22342/jpm.v18i1.pp139-148

Avcu, S., & Çetinkaya, B. (2021). An instructional unit for prospective teachers’ conceptualization of geometric transformations as functions. International Journal of Mathematical Education in Science and Technology, 52(5), 669–698. https://doi.org/10.1080/0020739X.2019.1699966

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

Fauzan, A. (2024). How Students Understand the Area under a Curve: A Hypothetical Learning Trajectory. Mathematics Teaching Research Journal, 16(3), 80–100.

Giouvantsioudis, K. (2024). Chess As An Educational Tool. Main Issues Of Pedagogy And Psychology, 11(2), 148–171. https://doi.org/10.24234/miopap.v11i2.37

Hammadi, N. Q., Mohadat, M. A., & Alawamreh, A. R. (2024). Gamification and attitudes in engaging children in the learning process: A case of online math games. Edelweiss Applied Science and Technology, 8(6), 9743–9755. https://doi.org/10.55214/25768484.v8i6.4100

Kandaga, T., Rosjanuardi, R., & Juandi, D. (2022). Epistemological Obstacle in Transformation Geometry Based on van Hiele’s Level. Eurasia Journal of Mathematics, Science and Technology Education, 18(4), em2096. https://doi.org/10.29333/ejmste/11914

Liu, Y.-C., Wang, W.-T., & Huang, W.-H. (2023). The effects of game quality and cognitive loads on students’ learning performance in mobile game-based learning contexts: The case of system analysis education. Education and Information Technologies, 28(12), 16285–16310. https://doi.org/10.1007/s10639-023-11856-9

Nadarajan, K., Abdullah, A. H., Alhassora, N. S. A., Ibrahim, N. H., Surif, J., Ali, D. F., Mohd Zaid, N., & Hamzah, M. H. (2023). The Effectiveness of a Technology-Based Isometrical Transformation Flipped Classroom Learning Strategy in Improving Students’ Higher Order Thinking Skills. IEEE Access, 11, 4155–4172. https://doi.org/10.1109/ACCESS.2022.3230860

Rangkuti, A. N., & Siregar, A. I. (2020). Lintasan Belajar Teorema Pythagoras dengan Pendekatan Pendidikan Matematika Realistik (Learning Path for the Pythagorean Theorem with a Realistic Mathematics Education Approach). Logaritma : Jurnal Ilmu-ilmu Pendidikan dan Sains, 7(02), 149–162. https://doi.org/10.24952/logaritma.v7i02.2112

Rawani, D., Putri, R. I. I., Zulkardi, & Susanti, E. (2023). RME-based local instructional theory for translation and reflection using of South Sumatra dance context. Journal on Mathematics Education, 14(3), 545–562. https://doi.org/10.22342/jme.v14i3.pp545-562

Sahara, S., Dolk, M., Hendriyanto, A., Kusmayadi, T. A., & Fitriana, L. (2023). Transformation geometry in eleventh grade using digital manipulative batik activities. Journal on Mathematics Education, 15(1), 55–78. https://doi.org/10.22342/jme.v15i1.pp55-78

Sahara, S., Juandi, D., Turmudi, T., Hendriyanto, A., Hakim, L., & Bulus, M. D. (2024). Geometric Reasoning to Reinventing Quadratic Formula: The Learning Trajectory on Realistic Mathematics Education Principles. Mathematics Teaching Research Journal, 16(3), 164–196.

Sosa, J. J. C., & Aguilar, F. K. M. (2021). Chess, visual memory and geometric transformations. JRAMathEdu (Journal of Research and Advances in Mathematics Education), 6(4), 299–315. https://doi.org/10.23917/jramathedu.v6i4.14269

Uygun, T. (2020). An inquiry-based design research for teaching geometric transformations by developing mathematical practices in dynamic geometry environment. Mathematics Education Research Journal, 32(3), 523–549. https://doi.org/10.1007/s13394-020-00314-1

Wijaya, A., & Doorman, M. (2021). A Learning Trajectory For Probability: A Case Of Game-Based Learning. Journal on Mathematics Education, 12(1), 1–16. https://doi.org/10.22342/jme.12.1.12836.1-16

Yunianto, W., Bautista, G., Prasetyo, B. D., & Lavicza, Z. (2024). A HLT for Integrated CT and Mathematics Lessons: Supporting Students’ Possible Struggles when Debugging in GeoGebra Environment. International Journal for Technology in Mathematics Education, 31(1), 11–20. https://doi.org/10.1564/tme_v31.1.02




DOI: https://doi.org/10.24952/logaritma.v13i2.16122

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