STUDENTS MATHEMATICAL LITERACY SKILLS ON FRACTIONS VIEWED FROM LEARNING INTEREST AND LEARNING STYLES
DOI:
https://doi.org/10.37478/jupika.v9i2.8422Abstract
Mathematical literacy among Indonesian elementary students remains low, particularly in contextual fraction problems, often due to internal factors like learning interest and styles. This study aims to describe fifth-grade students' mathematical literacy skills on fraction materials based on their learning interest and learning styles. A descriptive qualitative approach was employed. The subjects were 20 fifth-grade students, with selected participants chosen via purposive sampling. Data were collected through questionnaires, literacy tests, interviews, and documentation, then analyzed using the Miles and Huberman model. The results indicate that students with high learning interest demonstrate superior literacy skills, showing persistence and focus. Conversely, those with low interest tend to give up easily. Regarding learning styles, visual learners excel with illustrations, auditory learners prefer verbal explanations, and kinesthetic learners require concrete, practical involvement. The primary obstacle for all students is translating contextual problems into mathematical models. These findings highlight the necessity for differentiated context-based instruction to accommodate diverse psychological and sensory preferences in elementary mathematics education.
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Keywords:
Elementary School, Fraction, Learning Interest, Learning Style, Mathematical LiteracyReferences
Abrigo, M. R. M., Francisco, K. A., & Santos, K. C. P. (2026). School closures, shelter-use and learning outcomes in the philippines: evidence from 2019 TIMSS. Economics of Education Review, 110. https://doi.org/10.1016/j.econedurev.2025.102738
Alam, M. J., & Limo, A. A. (2025). Discourse of John Dewey’s “experiential learning theory”: the case of quality primary education in Bangladesh. Quality Assurance in Education, 1–19. https://doi.org/10.1108/QAE-04-2025-0110
Amini, R., Usmeldi, U., Fadillah, M. A., Media, A., Fitri, U., Helsa, Y., & Zulkarnaini, A. P. (2026). When interactivity becomes instruction: Effects of motivation-guided digital learning on elementary students’ cognitive outcomes. Social Sciences and Humanities Open, 13. https://doi.org/10.1016/j.ssaho.2026.102876
Arastoopour Irgens, G., Bailey, C., Famaye, T., & Behboudi, A. (2024). User experience testing and co-designing a digital game for broadening participation in computing with and for elementary school children. International Journal of Child-Computer Interaction, 42. https://doi.org/10.1016/j.ijcci.2024.100699
Bach, K. M., Hofer, S. I., & Bichler, S. (2025). Adaptive learning, instruction, and teaching in schools: Unraveling context, sources, implementation, and goals in a systematic review. Learning and Individual Differences, 124. https://doi.org/10.1016/j.lindif.2025.102781
Bontchev, B., Antonova, A., Terzieva, V., & Villarroya Soler, E. (2025). Learning and playing style differences between K12 and university students related to educational video games. Interactive Technology and Smart Education, 22(4), 660–687. https://doi.org/10.1108/ITSE-09-2024-0223
Burger, L., Schneider, J. J., & King, J. (2026). Polysyncretic composing in play: youth virtual reality gaming for STEM learning. English Teaching, 1–21. https://doi.org/10.1108/ETPC-09-2025-0221
Bütüner, S. Ö., Güner, P., & Güler, M. (2025). Creative learning environments and mathematics self-efficacy as predictors of mathematics achievement: Insights from PISA 2022 across three countries – Korea, Canada, and Türkiye. Thinking Skills and Creativity, 58. https://doi.org/10.1016/j.tsc.2025.101946
Dai, Y. (2024). Dual-contrast pedagogy for AI literacy in upper elementary schools. Learning and Instruction, 91. https://doi.org/10.1016/j.learninstruc.2024.101899
Hu, Y., Tang, Y., & Wang, C. (2024). Learning and teaching strategies as related to language arts in China: A heterogeneity study. Studies in Educational Evaluation, 81. https://doi.org/10.1016/j.stueduc.2024.101334
Jilink, L., Leseman, P., Slot, P., & Gevers, M. (2025). The role of after-school programs in supporting social and emotional learning: A synthesis of systematic reviews. International Journal of Educational Research Open, 9. https://doi.org/10.1016/j.ijedro.2025.100546
Lestari, N., Sari, I. K., & Fitra, R. (2026). ANALYSIS OF STUDENTS’ DIFFICULTIES IN SOLVING MATRIX OPERATIONS PROBLEMS. JUPIKA: JURNAL PENDIDIKAN MATEMATIKA, 9(1),
–10. https://doi.org/10.37478/JUPIKA.V9I1.7576
Lewis, M. C., Quimby-Moro, P., & Sánchez, L. E. (2026). “It must be provided for by the school”: Academic language in United States mathematics education as curricularized register, 1700–1975. Linguistics and Education, 93. https://doi.org/10.1016/j.linged.2026.101534
Liu, J., Sun, D., Sun, J., Wang, J., & Yu, P. L. H. (2025). Designing a generative AI enabled learning environment for mathematics word problem solving in primary schools: Learning performance, attitudes and interaction. Computers and Education: Artificial Intelligence, 9. https://doi.org/10.1016/j.caeai.2025.100438
Moore, K. S., Rabinowitz, G., Ali, S., Weckel, M., Lee, I., Gupta, P., & Chaffee, R. (2026). Design of a science integrated secondary school AI literacy curriculum: A youth & AI expert guided design-based research approach. Computers and Education: Artificial Intelligence, 10. https://doi.org/10.1016/j.caeai.2026.100552
Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). Thousand Oaks, California: SAGE Publications
Peng, J., Yang, H., Lu, J., Xiang, Y., Liu, X., Wang, X., Gao, F., Zheng, Y., Yang, Z., & Xiao, Y. (2026). Machine learning algorithms in jointly developing prediction models for subsequent school bullying victimization in Chinese children and adolescents. Psychiatry Research, 364. https://doi.org/10.1016/j.psychres.2026.117286
Pospisilova, D., Elgner, J., Dolezalova, M., Dankova, A., & Pospisil, K. (2025). Determinants of elementary school participation in the traffic education program. Transportation Research Interdisciplinary Perspectives, 34. https://doi.org/10.1016/j.trip.2025.101770
Puay, P., Da, A., Ximenes, C., Naisau, A. I., Beda, W., & Dosinaeng, N. (2026). ANALYSIS OF GEOMETRIC CONCEPTS IN THE KABIR OF WEHALI VILLAGE COMMUNITY: AN ETHNOMATHEMATICS STUDY. JUPIKA: JURNAL PENDIDIKAN MATEMATIKA, 9(1), 11–19. https://doi.org/10.37478/JUPIKA.V9I1.6137
Shamir, G., & Levin, I. (2026). Cultivating machine learning-related computational thinking in elementary school. Thinking Skills and Creativity, 61. https://doi.org/10.1016/j.tsc.2026.102177
Wade, L., Beauchamp, M. R., Nathan, N., Smith, J. J., Leahy, A. A., Bao, R., Kennedy, S. G., Boyer, J., Diallo, T. M. O., Beacroft, S., & Lubans, D. R. (2026). Effects of a school-based leadership program on student leaders and their peers: The Learning to Lead cluster randomized controlled trial. Contemporary Educational Psychology, 84, 102444. https://doi.org/10.1016/j.cedpsych.2026.102444
Zheng, Y., Zhang, J., Li, Y., Wu, X., Ding, R., Luo, X., Liu, P., & Huang, J. (2024). Effects of digital game-based learning on students’ digital etiquette literacy, learning motivations, and engagement. Heliyon, 10(1). https://doi.org/10.1016/j.heliyon. 2023.e23490
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Copyright (c) 2026 Nur Amin Ambon Talaohu, Nessy Pattimukay, La Suha Ishabu

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JUPIKA: JURNAL PENDIDIKAN MATEMATIKA is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


