DEVELOPMENT OF A GAME FOR LEARNING LINEAR FUNCTIONS IN A REAL-WORLD CONTEXT TO IMPROVE THE CONCEPTUAL UNDERSTANDING OF JUNIOR HIGH SCHOOL STUDENTS

PENGEMBANGAN PERMAINAN UNTUK PEMBELAJARAN FUNGSI LINIER DALAM KONTEKS DUNIA NYATA UNTUK MENINGKATKAN PEMAHAMAN KONSEPTUAL SISWA SEKOLAH MENENGAH PERTAMA

  • Hasmara Adhi Dhananjaya Faculty of Mathematics Education, Sampoerna University
    (ID)
  • Faradillah Haryani Faculty of Mathematics Education, Sampoerna University
    (ID)
Keywords: Linear Function, Mathematics Game, Conceptual Understanding, ADDIE

Abstract

Linear functions in math are essential for advanced topics like calculus and physics. In Indonesia, linear function teaching is limited to whiteboard calculations or simple drawings without contextual explanations. It's crucial to emphasize factual and conceptual math knowledge for deep understanding and effective learning by bringing more contextual problems. Many teachers use traditional games or modeling activities to create contextual problems for students. However, none of them was created for the learning function in digital games. This project aims to develop a game for learning linear functions using contextual challenges. The game was created utilizing an ADDIE model. Validation is using Learning Object Review Instrument (LORI) with three different validators who have different expertise in content, technology, and classroom implementation. The data shows that this game may reinforce learning linear functions. A future research project may examine the impact of playing this game on students' conceptual understanding of linear function.

Downloads

Download data is not yet available.

References

Abdullah, N., Zakaria, E., & Halim, L. (2012). The effect of a thinking strategy approach through visual representation on achievement and conceptual understanding in solving mathematical word problems. Asian Social Science, 8(16), 30–37. https://doi.org/10.5539/ass.v8n16p30.

Abykanova, B., Nugumanova, S., Yelezhanova, S., Kabylkhamit, Z., & Sabirova, Z. (2016). The use of interactive learning technology in institutions of higher learning. International Journal of Environmental and Science Education, 11(18), 12528–12539. Retrieved from https://eric.ed.gov/?id=EJ1124626.

Agung, A. S. N., & Surtikanti, M. W. (2020). Students’ perception of online learning during covid-19 pandemic: A case study on the english students of STKIP Pamane Talino. SOSHUM: Jurnal Sosial Dan Humaniora, 10(2), 225–235. https://doi.org/10.31940/soshum.v10i2.1316.

Allen, C. E., Froustet, M. E., LeBlanc, J. F., Payne, J. N., Priest, A., Reed, J. F., Worth, J. E., Thomason, G. M., Robinson, B., & Payne, J. N. (2020). National council of teachers of mathematics. The Arithmetic Teacher, 29(5), 59. https://doi.org/10.5951/at.29.5.0059.

Allo, M. D. G. (2020). Is the online learning good in the midst of covid-19 pandemic? The case of EFL learners. Jurnal Sinestesia, 10(1), 1–10. Retrieved from https://sinestesia.pustaka.my.id/journal/article/view/24.

Andamon, J. C., & Tan, D. A. (2018). Conceptual understanding, attitude and performance in mathematics of grade 7 students. International Journal of Scientific and Technology Research, 7(8), 96–105. Retrieved from https://www.ijstr.org/final-print/aug2018/Conceptual-Understanding-Attitude-And-Performance-In-Mathematics-Of-Grade-7-Students.pdf.

Branch, R. M. (2010). Instructional design: The ADDIE approach. In Instructional Design: The ADDIE Approach. https://doi.org/10.1007/978-0-387-09506-6.

Divjak, B., & Tomic, D. (2011). The impact of game-based learning on the achievement of learning goals and motivation for learning mathematics -Literature review. Journal of Information and Organizational Sciences, 35(1), 15–30.

Durmus, S., & Karakirik, E. (2006). Virtual Manipulatives In Mathematics Education: A theoretical framework. The Turkish Online Journal of Educational Technology, 5(1), 117–123. Retrieved from https://eric.ed.gov/?id=ED496007.

Edtech World Bank. (2020). 4. Edtech in Indonesia – Ready for Take-Off? May.

Elmas, E., & Oztufekci, A. (2021). L2 Demotivation in online classes during covid-19: From an activity theory perspective. Shanlax International Journal of Education, 9(3), 72–78. https://doi.org/10.34293/education.v9i3.3811.

Fonteles-Furtado, P. G., Hirashima, T., Hayashi, Y., & Maeda, K. (2019). Application focused on structural comprehension of mathematics contextual problems for kindergarten students. Research and Practice in Technology Enhanced Learning, 14(1), 1–18. https://doi.org/10.1186/s41039-019-0096-1.

Freudenthal, H. (2002). Revisiting mathematics education. Revisiting Mathematics Education. https://doi.org/10.1007/0-306-47202-3.

Gilbert, B., John, S., & College, F. (2015). Online learning revealing the benefits and challenges how has open access to fisher digital publications benefited you?

Green, J. L., & Blankenship, E. E. (2015). Fostering conceptual understanding in mathematical statistics. American Statistician, 69(4), 315–325. https://doi.org/10.1080/00031305.2015.1069759.

Gultepe, N., Celik, A. Y., & Kilic, Z. (2013). Exploring effects of high school students’ mathematical processing skills and conceptual understanding of chemical concepts on algorithmic problem solving. Australian Journal of Teacher Education, 38(10), 106–122. https://doi.org/10.14221/ajte.2013v38n10.1.

Guven, B., & Kosa, T. (2008). The effect of dynamic geometry software on student mathematics teachers’ spatial visualization skills. Turkish Online Journal of Educational Technology, 7(4), 100–107. Retrieved from https://eric.ed.gov/?id=EJ1102930.

Haryani, F. (2020). Flexibility in mathematics: Case of open-ended graphing task in college algebra. International Journal of Scientific and Technology Research, 9(4), 873–879. Retrieved from https://www.ijstr.org/final-print/apr2020/Flexibility-In-Mathematics-Case-Of-Open-ended-Graphing-Task-In-College-Algebra.pdf.

Hodanova, J., & Nocar, D. (2016). Mathematics importance in our life. INTED2016 Proceedings, 3086–3092. https://doi.org/10.21125/inted.2016.0172.

Kanive, R., Nelson, P. M., Burns, M. K., & Ysseldyke, J. (2014). Comparison of the effects of computer-based practice and conceptual understanding interventions on mathematics fact retention and generalization. Journal of Educational Research, 107(2), 83–89. https://doi.org/10.1080/00220671.2012.759405.

Loc, N. P., & Hao, M. H. (2016). Teaching mathematics based on “ mathematization ” of theory of realistic mathematics education: A study of the linear function Y = Ax + B. The International Journal Of Engineering And Science (IJES), 5(6), 20–23. Retrieved from https://www.ijstr.org/paper-references.php?ref=IJSTR-0420-34964.

Lutfianto, M., Zulkardi, & Hartono, Y. (2013). Unfinished student answer in Pisa mathematics contextual problem. Journal on Mathematics Education, 4(2), 188–193. https://doi.org/10.22342/jme.4.2.552.188-193.

Miller, S. A. (2017). Developmental research methods. California: Sage publications.

Mudaly, V., & Fletcher, T. (2019). The effectiveness of geogebra when teaching linear functions using the IPad. Problems of Education in the 21st Century, 77(1), 55–81. https://doi.org/10.33225/PEC/19.77.55.

Nahdi, D. S., & Jatisunda, M. G. (2020). Conceptual understanding and procedural knowledge: A case study on learning mathematics of fractional material in elementary school. Journal of Physics: Conference Series, 1477(4). https://doi.org/10.1088/1742-6596/1477/4/042037.

Nesbit, J., Belfer, K., & Leacock, T. (2009). Learning object review instrument (LORI) user manual.

Nitsch, R., Fredebohm, A., Bruder, R., Kelava, A., Naccarella, D., Leuders, T., & Wirtz, M. (2015). Students’ competencies in working with functions in secondary mathematics education—empirical examination of a competence structure model. International Journal of Science and Mathematics Education, 13(3), 657–682. https://doi.org/10.1007/s10763-013-9496-7.

Pierce, R. (2005). Linear functions and a triple influence of teaching on the development of students’ algebraic expectation. Proceedings of the 29th Conference of the International Group for the Psychology of Mathematics Education, 4, 81–88. Retrieved from https://eric.ed.gov/?id=ED496951.

Piercea, R., Stacey, K., & Bardini, C. (2010). Linear functions: Teaching strategies and students’ conceptions associated with y = mx + c. Pedagogies, 5(3), 202–215. https://doi.org/10.1080/1554480X.2010.486151.

Postelnicu, V. (2011). Student difficulties with linearity and linear functions and teachers’ understanding of student difficulties. USA: Arizona State University.

Purwadi, I. M. A., Sudiarta, I. G. P., & Suparta, I. N. (2019). The effect of concrete-pictorial-abstract strategy toward students’ mathematical conceptual understanding and mathematical representation on fractions. International Journal of Instruction, 12(1), 1113–1126. https://doi.org/10.29333/iji.2019.12171a.

Szydlik, J. E., & Oshkosh, W. (2000). Mathematical beliefs and conceptual understanding of the limit of a function. Journal for Research in Mathematics Education, 31(3), 258–276. https://doi.org/10.2307/749807.

Widjaja, W. (2013). The use of contextual problems to support mathematical learning. Journal on Mathematics Education, 4(2), 151–159. https:// doi.org/10.22342/jme.4.2.413.151-159.

Wijaya, A. (2018). How do open-ended problems promote mathematical creativity? A reflection of bare mathematics problem and contextual problem. Journal of Physics: Conference Series, 983(1). https://doi.org/10.1088/1742-6596/983/1/012114.

Wyels, C. (2011). Engaging students via in-class worksheets. MAA Online Innovative Teaching Exchange. USA: Mathematical Association of America.

Zaremba, L. S., & Smoleński, W. H. (2000). Context problems in realistic mathematics education: A calculus course as an example. Educational Studies in Mathematics, 97(1–4), 131–141. https://doi.org/10.1023/A.

Published
2023-06-04
Section
Vol. 11 No. 1
Abstract viewed = 260 times