The Effect of Digital Fatigue and Emotional Regulation on Mathematical Problem-Solving Skills

Authors

DOI:

https://doi.org/10.30998/vvdnv981

Keywords:

Digital fatigue; emotional regulation; mathematical problem solving.

Abstract

Mathematical problem-solving skills are an important component of mathematics learning because they require concentration, accuracy, and emotional control. In technology-based learning environments, intensive use of digital devices may lead to digital fatigue, which can reduce students’ focus, while emotional regulation is considered an important factor that helps students maintain cognitive stability during learning. This study aimed to examine the effect of digital fatigue and emotional regulation on students’ mathematical problem-solving skills. The study employed a quantitative approach with a correlational research design. The sample consisted of 34 eleventh-grade students selected using a total sampling technique. Data on digital fatigue and emotional regulation were collected using Likert-scale questionnaires, while mathematical problem-solving skills were measured through descriptive test items. The data were analyzed using multiple linear regression after meeting the required statistical assumptions. The results showed that digital fatigue and emotional regulation did not have a significant effect on students’ mathematical problem-solving skills. The R² value of 0.023 indicates that the two variables explain only 2.3% of the variance in problem-solving skills. This result may be due to the fact that mathematical problem-solving is more strongly influenced by cognitive factors such as conceptual understanding, reasoning ability, and learning strategies rather than psychological fatigue factors alone. Therefore, future research is recommended to include additional variables such as learning motivation, cognitive strategies, and instructional quality. Practically, teachers are encouraged to strengthen conceptual understanding and problem-solving strategies while maintaining students’ psychological well-being in digital learning environments.

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References

Abdelrahman, H., Al Qadire, M., Ballout, S., Rababa, M., Kwaning, E. N., & Zehry, H. (2025). Academic resilience and its relationship with emotional intelligence and stress among university students: A three-country survey. Brain and Behavior, 15(4), 1–9. https://doi.org/10.1002/brb3.70497

Agbo, F. J., Sunday, S., & Jarkko, O. (2023). Design, development, and evaluation of a virtual reality game ‑ based application to support computational thinking. Educational Technology Research and Development, 71(2), 505–537. https://doi.org/10.1007/s11423-022-10161-5

Alarabiat, A. (2024). The impact of online learning fatigue on students ’ continuous use of online learning. Journal of Theoretical and Applied Information Technology, 102(20), 7423–7439.

Amekauma. (2024). Exploring the role of mathematics anxiety in students’ commitment to science education in the niger delta. International Journal of Functional Research in Arts and Humanities, 3, 57–65. https://ijfrah.com/journal/article/view/47

Anggeriani, L. A., & Ain, S. Q. (2024). Dampak kurang konsentrasi siswa pada pembelajaran matematika. Aulad: Journal on Early Childhood, 7(3), 789–797. https://doi.org/10.31004/aulad.v7i3.773

Arican, O. (2025). The effects of digital fatigue on mental health in seafarers: Delphi and multiple regression analysis. Turkish Journal of Maritime and Marine Sciences, 11(1), 46–67. https://doi.org/10.52998/trjmms.1566728

Bura, N. (2023). The psychology of emotion regulation: Strategies and implications for mental well-being. Innovative Research Thoughts, 09(01), 232–238. https://irt.shodhsagar.com/index.php/j/article/view/602

Chen, Z., Wang, Y., Zhao, B., Cheng, J., Zhao, X., & Duan, Z. (2020). Knowledge graph completion : A review. IEEE Access, 13(08), 192435–192456. https://doi.org/10.1109/ACCESS.2020.3030076

Da, Z., Xiaofeng, D., Kit-tai, H., Haifeng, L., Pingting, F., & Jian, L. (2019). Teacher-student relationship and mathematical problem-solving ability : mediating roles of self- efficacy and mathematical anxiety. Educational Psychology, 0(0), 1–17. https://doi.org/10.1080/01443410.2019.1696947

Devi, B., & Lepcha, N. (2023). Application of correlational research design in nursing. Journal of Xi’an Shiyou University, Natural Science Edition, 65(March), 109–118. https://doi.org/10.17605/OSF.IO/YRZ68

Dharmawan, A., Setiadi, T., & Karli, I. (2024). The paradox of switching social medias: A mixed-method study of students’ academic performance and social fatigue. Simulacra, 7(2), 182–194. https://doi.org/10.21107/sml.v7i2.26754

Garc, M. (2019). The relationship between emotional regulation and school burnout: Structural equation model according to dedication to tutoring. International Journal of Environmental Research and Public Health, 16(23). https://doi.org/10.3390/ijerph16234703

Gumasing, M. J., & Castro, F. M. (2023). Determining ergonomic appraisal factors affecting the learning motivation and academic performance of students during online classes. Sustainability, 3(15), 1970. https://doi.org/10.3390/su15031970

Han, Y. (2024). Social media addiction, fatigue and the effects on young adults’ academic performance china. Quantum Journal of Social Sciences and Humanities, 5(5), 70–80. https://doi.org/10.55197/qjssh.v5i5.428

Hendrycks, D., Burns, C., Kadavath, S., Song, D., Arora, A., Tang, E., & Steinhardt, J. (2021). Measuring mathematical problem solving with the MATH dataset. ArXiv Preprint ArXiv, 1–22. https://doi.org/10.48550/arXiv.2103.03874

Hidayati. (2017). Melatih keterampilan berpikir tingkat tinggi dalam pembelajaran matematika pada siswa sekolah dasar. Jurnal Pendidikan Dan Pembelajaran Dasar, 4(20), 143–156. https://doi.org/10.24042/terampil.v4i2.2222

Hiltrimartin, C. (2025). Problem-solving skills among students on the topic of derivatives : Differences in the changes of achievement emotions. Eurasia Journal of Mathematics, Science and Technology Education, 21(6). https://doi.org/10.29333/ejmste/16504

Ibrahim, R. K., Sabbah, S. Al, Jarrah, M. Al, Senior, J., & Almomani, J. A. (2024). The mediating effect of digital literacy and self ‑ regulation on the relationship between emotional intelligence and academic stress among university students : a cross ‑ sectional study. BMC Medical Education, 24. https://doi.org/10.1186/s12909-024-06279-0

Jarar, S. P. (2024). A review on the influence of digital age and excessive curriculum on emotion. Journal Transformation Of Knowledge, 02(02), 8–22. https://ojs.yptransteknologi.sch.id/index.php/jtk/article/view/62

Lepp, M., Luik, P., & Tark, T. M. (2022). How can web lessons be taught to reduce screen fatigue , motivational , and concentration problems in different disciplines ? Frontiers in Sociology, 7, 1–10. https://doi.org/10.3389/fsoc.2022.871770

Lu, T., Liu, K., Feng, X., Zhang, X., & She, Z. (2025). The impact of cognitive reappraisal intervention on depressive tendencies in chinese college students: The mediating role of regulatory emotional self-efficacy. Behavioral Sciences (MDPI), 5, 1–14. https://doi.org/10.3390/bs15050562

Martin, F., Moore, R. L., & Westine, C. D. (2020). Systematic review of adaptive learning research designs, context, strategies, and technologies from 2009 to 2018. Educational Technology Research and Development, 68(4), 1903–1929. https://doi.org/10.1007/s11423-020-09793-2

Metcalfe, J., & Eich, T. S. (2019). Memory and truth : Correcting errors with true feedback versus overwriting correct answers with errors. Cognitive Research: Principles and Implications, 8. https://doi.org/10.1186/s41235-019-0153-8

Muna, Z. (2024). Strategi efektif meregulasi emosi pada remaja smp untuk meningkatkan kesehatan mental. Jurnal Pengabdian Kolaborasidan Inovasi IPTEKS, 2(5), 1682–1688. https://doi.org/10.59407/jpki2.v2i5.1395

Neagu, S. N., & Vieriu, A. M. (2025). Digital and psychological well-being among technical university students: Exploring the impact of digital engagement in higher education. Education Sciences, 15(9), 1192. https://doi.org/10.3390/educsci15091192

Ng, C., Chen, Y., Wu, C., & Chang, T. (2022). Evaluation of math anxiety and its remediation through a digital training program in mathematics for first and second graders. Brain and Behavior, 12(5), 1–17. https://doi.org/10.1002/brb3.2557

Noenoek, B. M. (2024). Analisis pengaruh beban tugas akademik dan digital fatigue terhadap prestasi akademik siswa. Edu Cendikia: Jurnal Ilmiah Kependidikan, 4, 1846–1852. https://doi.org/10.47709/educendikia.v4i03.5632

Pablo, U. S., & Alberto, Q. R. (2021). Emotional regulation and academic performance in the academic context: The mediating role of self-efficacy in secondary education students. International Journal of Environmental Research and Public Health, 18(11), 5715. https://doi.org/10.3390/ijerph18115715

Queiroz, T. N. (2022). Digital technology and its impacts on the sleep quality and academic performance during the pandemic. Arquivos de Neuro-Psiquiatria, 80(10), 1052–1056. https://doi.org/10.1055/s-0042-1755395

Schöbel, S. M., Janson, A., & Leimeister, J. M. (2023). Gamifying online training in management education to support emotional engagement and problem-solving skills. Journal of Management Education, 47(2), 166–203. https://doi.org/10.1177/10525629221123287

Schoenherr, J., Schukajlow, S., & Pekrun, R. (2025). Emotions in mathematics learning: A systematic review and meta ‑ analysis. ZDM – Mathematics Education, 47(2), 603–620. https://doi.org/10.1007/s11858-025-01651-w

Seresirikachorn, K., Thiamthat, W., Sriyuttagrai, W., Soonthornworasiri, N., Singhanetr, P., Yudtanahiran, N., & Theeramunkong, T. (2022). Effects of digital devices and online learning on computer vision syndrome in students during the COVID- ­ 19 era: an online questionnaire study Baseline characteristics. BMJ Paediatrics Open, 1–8. https://doi.org/10.1136/bmjpo-2022-001429

Shen, Y. (2025). Distractions in digital reading: a meta-analysis of attentional interference effects. Frontiers in Psychology, 16(November), 1–14. https://doi.org/10.3389/fpsyg.2025.1671214

Sinha, T., & Kapur, M. (2021). When problem solving followed by instruction works: evidence for productive failure. Review of Educational Research, 91(5), 761–798. https://doi.org/10.3102/00346543211019105

Sun, S., Wu, X., & Xu, T. (2023). A theoretical framework for a mathematical cognitive model for adaptive learning systems. Behavioral Sciences (EISSN 2076-328X), 13(5). https://doi.org/10.3390/bs13050406

Supriyadi, T., Bhayangkara, U., Raya, J., Rahmi, K. H., Bhayangkara, U., Raya, J., Fahrudin, A., & Unggul, U. E. (2025). The impact of digital fatigue on employee productivity and well-being: A scoping literature review. Environment and Social Psychology (Malque Publishing)., 10(March). https://doi.org/10.59429/esp.v10i2.3420

Webster, E. A., & Hadwin, A. F. (2015). Emotions and emotion regulation in undergraduate studying: examining students’ reports from a self-regulated learning perspective. International Journal of Experimental Educational Psychology ISSN:, 3410(January 2018). https://doi.org/10.1080/01443410.2014.895292

Zajenkowski, M., Lewczuk, K., Jankowski, K. S., & Marchlewska, M. (2022). The mediational role of emotion regulation in the relationship between personality and subjective well-being. Current Psychology, 41, 4098–4111. https://doi.org/10.1007/s12144-020-00861-7

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Published

2026-03-31

How to Cite

Istikatunisah, Syaharuddin, Abdillah, Raza, W., & Fadugba, S. E. (2026). The Effect of Digital Fatigue and Emotional Regulation on Mathematical Problem-Solving Skills. Formatif : Jurnal Ilmiah Pendidikan MIPA, 16(1), 65-76. https://doi.org/10.30998/vvdnv981