Use of Visual Representation on Student Mathematical Word Problem-Solving Skills: The Mediating Role of ICT Integration

Low problem-solving skill is a concern in mathematics education. The mediating role of ICT integration on use of visual representation - student mathematical word problem-solving skills correlation was explored. Descriptive-correlational research design, stratified random sampling in selecting 296 Grade 10 students, survey approach, and mediation analysis were applied in the study. Results revealed that the predictor-criterion correlation was not significantly mediated. The Dual Coding Theory was denied. Further research may be explored testing other potential variables as mediators. Teachers may divert to other means of learning and redirect educational resources for alternative methods.

Use of visual representation, mathematical word problem-solving skills, mediating role of ICT integration

1. Alcantara, C., Veriña, U., & Niem, M. (2020). Teaching and learning with technology: Ramification of ICT integration in mathematics education. Teaching and Learning, 10(1). [Google Scholar] [Crossref]

2. https://doi.org/10.46517/seamej.v10i1.83 [Google Scholar] [Crossref]

3. Angriman, F., Godoy, L. C., & Lawler, P. R. (2024). What is mediation analysis? Linking exposures and outcomes through intermediary mechanisms. JACC: Advances, 3(1), 100746. [Google Scholar] [Crossref]

4. https://doi.org/10.1016/j.jacadv.2023.100746 [Google Scholar] [Crossref]

5. Arhin, J., Boateng, F. O., Akosah, E. F., & Gyimah, K. (2024). Perceptions and readiness of high school mathematics teachers for integration of ICT tools in the teaching and learning of mathematics. Pedagogical Research, 9(1), em0179. https://doi.org/10.29333/pr/14032 [Google Scholar] [Crossref]

6. Bhandari, P. (2023). Correlational research: When and how to use it. Scribbr. [Google Scholar] [Crossref]

7. https://www.scribbr.com/methodology/correlational-research/ [Google Scholar] [Crossref]

8. Courtney, M., Karakus, M., Ersozlu, Z., & Nurumov, K. (2022). The influence of ICT use and related attitudes on students’ math and science performance: Multilevel analyses of the last decade’s PISA surveys. Large-Scale Assessments in Education, 10(1), 8. [Google Scholar] [Crossref]

9. Devi, B., Lepcha, N., & Basnet, S. (2022). Application of correlational research design in nursing and medical research. Journal of Xi'an Shiyou University, Natural Sciences Edition, 65(11), 60-69. https://doi.org/10.17605/OSF.IO/YRZ68 [Google Scholar] [Crossref]

10. Goodfellow, L. T. (2023). An overview of survey research. Respiratory Care, 68(9), 1309–1313. [Google Scholar] [Crossref]

11. https://doi.org/10.4187/respcare.11041 [Google Scholar] [Crossref]

12. Hidayah, S. L. N. N., & Prayitno, L. L. (2023). Analisis kemampuan pemecahan masalah word problem PLSV: Tinjauan dari adversity quotient. Jurnal Tadris Matematika, 6(1), 67–84. [Google Scholar] [Crossref]

13. https://doi.org/10.21274/jtm.2023.6.1.67-84 [Google Scholar] [Crossref]

14. King, S. G., & Powell, S. R. (2023). Language proficiency and the relation to word–problem performance in emergent bilingual students with mathematics difficulties. Learning Disabilities Research & Practice, 38(4), 233–245. https://doi.org/10.1111/ldrp.12325 [Google Scholar] [Crossref]

15. Kotronoulas, G., Miguel, S., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E., Drury, A., Semple, C., Dieperink, K. B., & Papadopoulou, C. (2023). An overview of the fundamentals of data management, analysis, and interpretation in quantitative research. Seminars in Oncology Nursing, 39(2), 151398. https://doi.org/10.1016/j.soncn.2023.151398 [Google Scholar] [Crossref]

16. Liang, C. P., & She, H. C. (2021). Investigate the effectiveness of single and multiple representational scaffolds on mathematics problem solving: Evidence from eye movements. Interactive Learning Environments, 31(6), 3882–3897. https://doi.org/10.1080/10494820.2021.1943692 [Google Scholar] [Crossref]

17. Mazikana, A. T. (2023). The good part of using a questionnaire: Advantages and disadvantages. SSRN. https://doi.org/10.2139/ssrn.4386399 [Google Scholar] [Crossref]

18. Miksza, P., Shaw, J. T., Richerme, L. K., Hash, P. M., Hodges, D. A., & Parker, E. C. (2023). Quantitative descriptive and correlational research. In Music Education Research: An Introduction (pp. 241–262). Oxford University Press. https://doi.org/10.1093/oso/9780197639757.003.0012 [Google Scholar] [Crossref]

19. Paivio, A. (1990). Mental representations: A dual coding approach (2nd ed.). Oxford University Press. [Google Scholar] [Crossref]

20. Parame-Decin, M. B. (2023). Visual representations in teaching mathematics. Sprin Journal of Arts, Humanities and Social Sciences, 2(5), 21-30. https://doi.org/10.55559/sjahss.v2i05.107 [Google Scholar] [Crossref]

21. Pastor, M. J. D., & Pedro, L. A. C. (2023). Mathematics teachers’ levels of ICT expertise and use and their beliefs about ICT integration and students’ problem-solving skills. Southeast Asian Mathematics Education Journal, 13(1), 57–72. https://doi.org/10.46517/seamej.v13i1.208 [Google Scholar] [Crossref]

22. Purcar, A. M., Bocoș, M., Pop, A. L., Roman, A., Rad, D., Mara, D., Crișan, C., Răduț-Taciu, R., & Mara, E.-L. (2024). The effect of visual reasoning on arithmetic word problem solving. Education Sciences, 14(3), 278. https://doi.org/10.3390/educsci14030278 [Google Scholar] [Crossref]

23. Refvik, K. A. S., & Opsal, H. (2023). Do optional programming courses affect eighth-grade students’ mathematical problem solving? Computers in the Schools, 40(3), 244–261. [Google Scholar] [Crossref]

24. https://doi.org/10.1080/07380569.2023.2175634 [Google Scholar] [Crossref]

25. Säfström, A. I., Lithner, J., & Palm, T. (2023). Developing a diagnostic framework for primary and secondary students’ reasoning difficulties during mathematical problem solving. Educational Studies in Mathematics, 115, 125–149. https://doi.org/10.1007/s10649-023-10278-1 [Google Scholar] [Crossref]

26. Schuler, M. S., Coffman, D. L., Stuart, E. A., Nguyen, T. Q., Vegetabile, B., & McCaffrey, D. F. (2024). Practical challenges in mediation analysis: A guide for applied researchers. arXiv. [Google Scholar] [Crossref]

27. https://doi.org/10.48550/arXiv.2402.01003 [Google Scholar] [Crossref]

28. Simkus, J. (2023, July 31). Stratified random sampling: Definition, method & examples. Simply Psychology. https://www.simplypsychology.org/stratified-random-sampling.html [Google Scholar] [Crossref]

29. Suarez, C. M. V., & Tado, P. P. (2025). Technology integration and problem-solving skills of Grade 10 students in New Corella District as mediated by mathematical reasoning ability. EPRA International Journal of Multidisciplinary Research, 11(5). https://doi.org/10.36713/epra22048 [Google Scholar] [Crossref]

30. Susilowaty, N. (2023). Efektifitas Pembelajaran The Power of Two Berbantuan ICT Untuk Meningkatkan Kemampuan Pemahaman dan Pemecahan Masalah Matematis Siswa SMP. Jurnal Padegogik, 6(1), 25-35. [Google Scholar] [Crossref]

31. Thomas, L. (2023, June 22). Stratified sampling: Definition, guide & examples. Scribbr. [Google Scholar] [Crossref]

32. https://www.scribbr.com/methodology/stratified-sampling/ [Google Scholar] [Crossref]

33. Tilos, F. G., & Balila, J. S. (2023). Analysis of students’ ability in solving linear equation worded problem: A sequential explanatory research study. International Journal of Advanced Multidisciplinary Research and Studies, 3(4), 402–413 [Google Scholar] [Crossref]

34. Torollo, J. R., & Dujali, M. L. G. (2020). Mathematics 10 self-learning module quarter 3 module 1: Permutation (1st ed.). Department of Education Region XI. [Google Scholar] [Crossref]

35. Verzosa, E. M., & Mabansag, A. (2023). Error analysis in solving word problems among Grade-8 students. International Journal of Current Science Research and Review, 6(10). [Google Scholar] [Crossref]

36. https://doi.org/10.47191/ijcsrr/V6-i10-10 [Google Scholar] [Crossref]

37. Vessonen, T., Hellstrand, H., Aunio, P., & Laine, A. (2026). Pictures in mathematical word problems: A systematic review on the role of task and student characteristics. Educational Psychology Review, 38(1), 20. [Google Scholar] [Crossref]

38. Wei, S., Lei, Q., Chen, Y., & Xin, Y. P. (2023). The effects of visual cueing on students with and without math learning difficulties in online problem solving: Evidence from eye movement. Behavioral Sciences, 13(11), 927. https://doi.org/10.3390/bs13110927 [Google Scholar] [Crossref]

39. Wong, T. T. Y., & Yip, E. S. K. (2023). What is the unknown? The ability to identify the semantic role of the unknown from word problems longitudinally predicts mathematical problem solving performance. Contemporary Educational Psychology, 73, 102183. [Google Scholar] [Crossref]

40. https://doi.org/10.1016/j.cedpsych.2023.102183 [Google Scholar] [Crossref]

41. Xin, Y. P., Kim, S. J., Lei, Q., Liu, B. Y., Wei, S., Kastberg, S. E., & Chen, Y. V. (2023). The effect of model-based problem solving on the performance of students who are struggling in mathematics. The Journal of Special Education, 57(3), 139–151. https://doi.org/10.1177/00224669231157032 [Google Scholar] [Crossref]

42. Zhang, H., Xu, Z., & Xu, X. (2023). Morphological awareness in arithmetic word-problem solving among Chinese early adolescents. Humanities and Social Sciences Communications, 10, 902. https://doi.org/10.1057/s41599-023-02416-0 [Google Scholar] [Crossref]

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