Abstract
Low problem-solving abilities are a crucial issue. This study aimed to determine the mediating effect of mathematics attitude on the relationship between technological resources and problem-solving abilities. Using mediation analysis involving 500 grade 12 students selected through quota sampling, it is revealed that the interest variable significantly mediates the correlation between predictive and criterion variables, partially confirming the problem-solving theory. Consequently, the following are recommended: integrating technology in education, promoting positive mathematics attitudes, and developing metacognitive skills by reflecting on problem-solving strategies and approaches.
Keywords
- Artificial Intelligence
- Medical Devices
References
- 1. Alsarayreh, R. S. (2023). The effect of technological skills on developing problem solving skills: The moderating role of academic achievement. International Journal of Instruction, 16(2), 369–388. https://doi.org/10.29333/iji.2023.16221a
- 2. American Institutes for Research. (2019). High school students’ views on mathematics and science. https://www.air.org/resource/high-school-students-views-mathematics-and-science
- 3. Arellano, L., Alcubilla, P., & Leguízamo, L. (2023). Ethical considerations in informed consent. IntechOpen. https://doi.org/10.5772/intechopen.1001319
- 4. Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173
- 5. Bernardo, A. B. I., Cordel, M. O., II, Lapinid, M. R. C., Teves, J. M. M., Yap, S. A., & Chua, U. C. (2022). Contrasting Profiles of Low-Performing Mathematics Students in Public and Private Schools in the Philippines: Insights from Machine Learning. Journal of Intelligence, 10(3), 61. https://doi.org/10.3390/jintelligence10030061
- 6. Booc, N. B. B., Ringcunada, E. J. D., Justiniani, A. M. Q., Arevalo, J. M. N., Nui, J. P. C., Mora, R. C., Semblante, A. P., & Subingsubing, E. T. (2024). Computational skills in solving application problems involving basic differentiation rules in differential calculus: an explanatory sequential study. European Journal of Theoretical and Applied Sciences, 2(1), 367–374. https://doi.org/10.59324/ejtas.2024.2(1).31
- 7. Brown, A., & Jones, B. (2023). Beyond technology: Factors influencing learners' attitudes towards mathematics. Mathematics Education Research Journal, 35(1), 45–60.
- 8. Brown, L., & Jones, P. (2022). The relative influence of mathematics attitude, cognitive abilities, and prior knowledge on problem-solving abilities. Journal of Educational Psychology, 114(2), 217–231.
- 9. Cabuquin, J., & Abocejo, F. (2023). Mathematics learners' performance and academic achievement at a public high school institution in Leyte, Philippines. Formatif: Jurnal Ilmiah Pendidikan MIPA, 13(2), 123–136. https://doi.org/10.30998/formatif.v13i2.17235
- 10. Carstens, K. J., Mallon, J. M., Bataineh, M., & Al-Bataineh, A. (2021). Effects of technology on student learning. The Turkish Online Journal of Educational Technology, 20(1), 105–113. http://files.eric.ed.gov/fulltext/EJ1290791.pdf
- 11. Casinillo, L. F. (2022). Is learning mathematics still creative and enjoyable during the COVID-19 pandemic? Indonesian Journal of Social Research (IJSR), 4(2), 124-138. https://doi.org/10.30997/ijsr.v4i2.208
- 12. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
- 13. Das, A. K., & Mishra, S. (2016). Questionnaire on learner use of technology. In A. Kirkwood & L. Price (Eds.), Technology-enabled learning implementation handbook (pp. 59–68). Commonwealth of Learning.
- 14. Dowker, A., Sarkar, A., & Looi, C. Y. (2021). Mathematics anxiety: What have we learned in 60 years? Frontiers in Psychology, 12, 639. https://doi.org/10.3389/fpsyg.2021.639
- 15. Emata, C. (2023). The Moderating Effect of Technology Attitude on the Relationship between Math Self-Efficacy and Attitudes towards Mathematics. Unnes Journal of Mathematics Education, 12(1), 1–12. https://doi.org/10.15294/ujme.v12i1.62791
- 16. Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to design and evaluate education research (10th ed.). McGraw-Hill Education.
- 17. Garcia-Guerrero, S., O'Hora, D., Zgonnikov, A., & Scherbaum, S. (2023). The action dynamics of approach-avoidance conflict during decision-making. Quarterly Journal of Experimental Psychology, 76(1), 160-179. https://doi.org/10.1177/17470218221087625
- 18. González, C., Campos, F., & Castillo, M. (2020). The impact of technological proficiency on problem-solving skills among high school learners. Journal of Educational Technology & Society, 23(2), 45-57.
- 19. Guo, S., & Liao, S. (2022). The role of opportunity to learn on student mathematics anxiety, problem-solving performance, and mathematics performance. Frontiers in Psychology, 13, 829032. https://doi.org/10.3389/fpsyg.2022.829032
- 20. Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275–285. https://doi.org/10.1016/j.susoc.2022.05.004
- 21. Harding, S. E., Griffin, P. E., Awwal, N., Alom, B. M., & Scoular, C. (2017). Measuring collaborative problem solving using Mathematics-Based tasks. AERA Open, 3(3), 233285841772804. https://doi.org/10.1177/2332858417728046
- 22. Hattie, J., & Donoghue, G. M. (2016). Learning strategies: A synthesis and conceptual model. NPJ Science of Learning, 1, 16013. https://doi.org/10.1038/npjscilearn.2016.13
- 23. Heppner, P. P. (2008). Expanding the conceptualization and measurement of applied problem-solving and coping: From stages to dimensions to the almost forgotten cultural context. American Psychologist, 63(8), 805–816. https://doi.org/10.1037/0003-066X.63.8.805
- 24. Higgins, K., Huscroft-D’Angelo, J., & Crawford, L. (2019). Effects of Technology in Mathematics on Achievement, Motivation, and Attitude: A Meta-Analysis. Journal of Educational Computing Research, 57(2), 283–319. https://doi.org/10.1177/0735633117748416
- 25. Johnson, E., & Smith, K. (2022). Exploring the multifaceted nature of mathematics attitude: The role of technological resources. International Journal of STEM Education, 9(1), 67–82.
- 26. Kasimu, O., & Imoro, M. (2017). Students’ attitudes towards mathematics: The case of private and public junior high schools in the East Mamprusi District, Ghana. IOSR Journal of Research & Method in Education, 7(5), 38–43. https://doi.org/10.9790/7388-0705033843
- 27. Kim, J., & Kim, H. (2021). Enhancing critical thinking and problem-solving skills through technology integration in STEM education. Journal of Science Education and Technology, 30(3), 392-407.
- 28. Kimmons, R., Miller, B. G., Amador, J., Desjardins, C. D., & Hall, C. (2015). Technology integration coursework and finding meaning in pre-service teachers’ reflective practice. Educational Technology Research and Development, 63, 809-829. doi:10.1007/s11423-015-9394-5
- 29. Knightsmith, P. (2016). Developing skills of resilience in your pupils. Headteacher Update, 2016(4), 20–21. https://doi.org/10.12968/htup.2016.4.20
- 30. Kolhar, M., Kazi, R. N. A., & Alameen, A. (2021). Effect of social media use on learning, social interactions, and sleep duration among university students. Saudi journal of biological sciences, 28(4), 2216–2222. https://doi.org/10.1016/j.sjbs.2021.01.010
- 31. Koyuncuoglu, D. (2022). Analysis of digital and technological competencies of university students. International Journal of Education in Mathematics, Science, and Technology (IJEMST), 10(4), 971-988. https://doi.org/10.46328/ijemst.2583
- 32. Kunhertanti, K., & Santosa, R. (2018). The influence of students’ self-confidence on mathematics learning achievement. Journal of Physics: Conference Series, 1097, 012126. https://doi.org/10.1088/1742-6596/1097/1/012126
- 33. Lang, C., Bae, S., Battista, C., Qin, S., Chen, T., Evans, T., & Menon, V. (2018). Positive attitude toward math supports early academic success: Behavioral evidence and neurocognitive mechanisms. Psychological Science, 29(3), 390–402. https://doi.org/10.1177/0956797617735528
- 34. Lapinid, M., Cordel II, M., Teves, J., Yap, S., Chua, U., & Bernardo, A. (2021). Which Filipino students are being left behind in Mathematics? Testing machine learning models to differentiate lowest-performing Filipino students in public and private schools in the 2018 PISA Mathematics test. Retrieved from https://www.dlsu-aki.com/uploads/1/0/2/2/102266760/dlsu_aki_working_paper_series_2022-09-085.pdf
- 35. Leedy, P. D., & Ormrod, J. E. (2019). Practical research: Planning and design (12th ed.). Pearson Education Limited.
- a. Retrieved from https://www.pearsonglobaleditions.com
- 36. Li, Q., & Ma, X. (2020). The impact of digital literacy on academic achievement among high school learners in STEM education. Journal of Educational Technology Development and Exchange, 13(1), 23-38.
- 37. Liu, Y., & Ko, H. (2022). The relative influence of technological resources, cognitive skills, and prior knowledge on problem-solving abilities. Educational Psychology Review, 34(1), 89-105.
- 38. Liu, S., Zaigham, H., Muhammad, R., Rashid, & Bilal, A. (2022). Social media-based collaborative learning effects on student performance/learner performance with moderating role of academic self-efficacy. Frontiers in Psychology, 13, 903919. https://doi.org/10.3389/fpsyg.2022.903919
- 39. Ma, X., & Kishor, N. (2020). Assessing the relationship between attitude towards mathematics and achievement in mathematics: A meta-analysis. Journal for Research in Mathematics Education, 51(3), 246–264.
- 40. MacKinnon, D., Fairchild, A., & Fritz, M. (2017). Mediation analysis. Annual Review of Psychology, 58, 593–614. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2819368/
- 41. March-Amengual, J. M., Cambra Badii, I., Casas-Baroy, J. C., Altarriba, C., Comella Company, A., Pujol-Farriols, R., Baños, J. E., Galbany-Estragués, P., & Comella Cayuela, A. (2022). Psychological distress, burnout, and academic performance in first year college students. International Journal of Environmental Research and Public Health, 19(6), 3356. https://doi.org/10.3390/ijerph19063356
- 42. Mazana, M. Y., Montero, C. S., & Casmir, R. O. (2019). Investigating students’ attitude towards learning mathematics. International Electronic Journal of Mathematics Education, 14(1), 207-231. https://doi.org/10.29333/iejme/3997
- 43. Meier, A., Reinecke, L., & Meltzer, C. E. (2019). “Facebocrastination”? Predictors of using Facebook for procrastination and its effects on students' well-being. Computers in Human Behavior, 100, 85–94. https://doi.org/10.1016/j.chb.2018.09.023
- 44. Nahdi, D. S., Jatisunda, M. G., & Suciawati, V. (2021). Pre-service teachers' ability to solve mathematics problems is viewed from the perspective of self-resilience. Malikussaleh Journal of Mathematics Learning, 4(2), 117. https://doi.org/10.29103/mjml.v4i2.2916
- 45. National Assessment of Educational Progress. (2019). The Nation's Report Card: Mathematics. https://www.nationsreportcard.gov
- 46. Nikolopoulou, K. (2023). What is quota sampling? Scribbr. https://www.scribbr.com/methodology/quota-sampling
- 47. OECD. (2020). Education in the digital age: Healthy and happy children. OECD Publishing. https://www.oecd-ilibrary.org/education/education-in-the-digital-age_9789264915535-en
- 48. Park, S., Lee, J., & Kim, H. (2023). The role of metacognitive skills in the relationship between mathematics attitude and problem-solving success. Educational Psychology, 38(1), 89-104.
- 49. Peart, D., Rumbold, P., Keane, K., & Allin, L. (2017). Student use and perception of technology-enhanced learning in a mass lecture knowledge-rich domain first-year undergraduate module. International Journal of Educational Technology in Higher Education, 14, 60. https://doi.org/10.1186/s41239-017-0078-6
- 50. Posamentier, A. (2017). 9 strategies for motivating students in mathematics. Edutopia. https://www.edutopia.org/blog/9-strategies-motivating-students-mathematics-alfred-posamentier
- 51. Rashidov, A. (2020). Use of differentiation technology in teaching mathematics. European Journal of Research and Reflection in Educational Sciences, 8(7), 163–167.
- 52. Russo, J., & Minas, M. (2020). Student attitudes towards learning mathematics through challenging, problem-solving tasks: “It’s so hard—in a good way.” Mathematics Education Research Journal, 33, 277–299. https://files.eric.ed.gov/fulltext/EJ1285338.pdf
- 53. Saadati, F., & Reyes, C. (2019). Collaborative learning to improve problem-solving skills: A relation affecting through attitude toward mathematics. In P. Felmer, P. Liljedahl, & B. Koichu (Eds.), Problem solving in mathematics instruction and teacher professional development (pp. 193–206). Springer. https://doi.org/10.1007/978-3-030-29215-7_10
- 54. Seenivasan, R. (2024). ICT in education: A critical literature review and its implications. International Journal of Finance, Insurance and Risk Management, 14(1), 12-27. https://doi.org/10.35808/ijfirm/378
- 55. Schoenfeld, A. H. (1985). Mathematical problem solving. Elsevier Science Publishers.
- 56. Silva, João & Rodrigues, José & Miguéis, V.L.. (2023). Factors influencing students' use of information and communication technologies for educational purposes. Education and Information Technologies. 29. 1-41. 10.1007/s10639-023-12132-6.
- 57. Sim, M., Kim, S.-Y., & Suh, Y. (2021). Sample size requirements for simple and Complex mediation models. Educational and Psychological Measurement, 82(1), 76–106. doi: 10.1177/00131644211003261
- 58. Simamora, R., Saragih, S., & Hasratuddin. (2018). Improving students’ mathematical problem solving ability and self-efficacy through guided discovery learning in local culture context. International Electronic Journal of Mathematics Education, 13(3), 188–200. https://doi.org/10.12973/iejme/3966
- 59. Smith, R., Jones, P., & Roberts, L. (2021). Enhancing STEM education through technology integration: Impacts on learner learning and engagement. International Journal of STEM Education, 8(3), 112–125.
- 60. Smith, R., & Johnson, L. (2021). Enhancing problem-solving abilities through fostering positive attitudes towards mathematics. Journal of Mathematics Education, 42(4), 567–582.
- 61. Son, A.L., Darhim, & Fatimah, S. (2020). Students' Mathematical Problem-Solving Ability Based on Teaching Models Intervention and Cognitive Style. Journal on Mathematics Education, 11(2), 209-222. http://doi.org/10.22342/jme.11.2.10744.209-222.
- 62. Sturm, N., & Bohndick, C. (2021). The influence of attitudes and beliefs on problem-solving performance. Frontiers in Education, 6. https://doi.org/10.3389/feduc.2021.525923
- 63. Subia, G. S., Salangsang, L. G., & Medrano, H. B. (2018). Attitude and performance in Mathematics I of Bachelor of Elementary Education students: A correlational analysis. American Scientific Research Journal for Engineering, Technology, and Sciences, 39(1), 206–213. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/download/3821/1378
- 64. Wang, Y., & Wang, L. (2021). The impact of technology integration on mathematics attitude among high school learners. Journal of Computers in Mathematics and Science Teaching, 40(2), 143-158.
- 65. Zheng, Lanqin & Long, Miaolang & Zhong, Lu & Gyasi, Juliana. (2022). The effectiveness of technology-facilitated personalized learning on learning achievements and learning perceptions: a meta-analysis. Education and Information Technologies. 27. 10.1007/s10639-022-11092-7.
- 66. Zimmerman, B. J., & Schunk, D. H. (Eds.). (2011). Handbook of self-regulation of learning and performance. Routledge. https://doi.org/10.4324/9780203839010