Mathematics in Rural Upper Secondary Education and Cognitive Enhancement: Opportunities and Tensions in the Use of Technologies to Improve Performance

Authors

Keywords:

rural mathematics, neuroeducation, cognitive enhancement, executive functions, digital divide

Abstract

Introduction: This study examines the use of cognitive enhancement technologies in mathematics learning within rural upper-secondary education, in a context marked by digital divides and limited infrastructure. Neuroeducation, artificial intelligence, and adaptive tools strengthen executive functions such as logical reasoning, working memory, and sustained attention. Although interventions—such as cognitive stimulation, mobile applications, and neuroeducational games—show benefits, they also generate tensions related to unequal access, pedagogical relevance, and the need for specialized teacher training. Method: An integrative review of twenty-five Scopus-indexed studies (2020–2025) was conducted, covering experimental and quasi-experimental designs, EEG-based trials, correlational research, and systematic reviews on cognitive enhancement and mathematics learning. Data were organized through thematic coding and conceptual triangulation, integrating quantitative and qualitative findings focused on academic performance, executive functions, digital access, and rural educational conditions. Results: Neuroeducational technologies increase mathematics performance by 12% to 34%, with improvements in attention, working memory, and calculation fluency. EEG studies report increases in beta activity and decreases in theta activity, associated with 20–28% improvements in problem-solving. However, rural areas show significant limitations: 35% lower access to personal devices and up to 70% lower stable connectivity. Additionally, 64% of teachers lack training in neuroeducation. Even so, offline applications and low-consumption games prove effective and increase student motivation by 25% to 30%. Conclusions: Cognitive enhancement technologies can effectively strengthen mathematics learning in rural settings when accompanied by digital equity initiatives, teacher training, and culturally relevant resources.

References

Amedu, J., & Hollebrands, K. F. (2022). Teachers’ perceptions of using technology to teach mathematics during COVID-19 remote learning. REDIMAT, 11(1), 71-85.

Bano, M., Zowghi, D., Kearney, M., Schuck, S., & Aubusson, P. (2018). Mobile learning for science and mathematics school education: A systematic review of empirical evidence. Computers & Education, 121, 30-58. https://doi.org/10.1016/j.compedu.2018.02.006

Bertram, L. (2020). Digital Learning Games for Mathematics and Computer Science Education: The Need for Preregistered RCTs, Standardized Methodology, and Advanced Technology. Frontiers in Psychology, 11, 516969. https://doi.org/10.3389/fpsyg.2020.02127

Bray, A., & Tangney, B. (2017). Technology usage in mathematics education research – A systematic review of recent trends. Computers & Education, 114, 255-273. https://doi.org/10.1016/j.compedu.2017.07.004

Cai, D., Ge, Y., Wang, L., & Leung, A. W. S. (2024). Improvement in Math Ability and Cognitive Processing in Children with Low Attention: An Intervention Based on PASS Theory. Journal of Intelligence, 12(9), 83. https://doi.org/10.3390/jintelligence12090083

Clark-Wilson, A., Robutti, O., & Thomas, M. (2020). Teaching with digital technology. ZDM, 52(7), 1223-1242. https://doi.org/10.1007/s11858-020-01196-0

Dattola, S., Bonanno, L., Ielo, A., Quercia, A., Quartarone, A., & La Foresta, F. (2023). Brain Active Areas Associated with a Mental Arithmetic Task: An eLORETA Study. Bioengineering, 10(12), 1388. https://doi.org/10.3390/bioengineering10121388

Drijvers, P., & Sinclair, N. (2024). The role of digital technologies in mathematics education: Purposes and perspectives. ZDM – Mathematics Education, 56(2), 239-248. https://doi.org/10.1007/s11858-023-01535-x

Lekati, E., Doukakis, S. (2023). Neuroeducation and Mathematics: The Formation of New Educational Practices. Advances in Experimental Medicine and Biology, 1424. https://doi.org/10.1007/978-3-031-31982-2_10

Gashaj, V., Trninić, D., Formaz, C., Tobler, S., Gómez‑Cañón, J. S., Poikonen, H., & Kapur, M. (2024). Bridging cognitive neuroscience and education: Insights from EEG recording during mathematical proof evaluation. Trends in Neuroscience and Education, 35, 100226. https://doi.org/10.1016/j.tine.2024.100226

Gilmore, C., Simsek, E., Eaves, J., & Cragg, L. (2024). The role of cognitive and applied executive function skills in learning rational number knowledge. Learning and Individual Differences, 110, 102408. https://doi.org/10.1016/j.lindif.2024.102408

Gqoli, N. (2024). Digital Technologies for Mathematics Learning in Rural Higher Education: Students’ Perspectives. Research in Social Sciences and Technology, 9(1), 265-278. https://doi.org/10.46303/ressat.2024.15

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

Hillmayr, D., Ziernwald, L., Reinhold, F., Hofer, S. I., & Reiss, K. M. (2020). The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis. Computers & Education, 153, 103897. https://doi.org/10.1016/j.compedu.2020.103897

Hwang, S., Flavin, E., & Lee, J.-E. (2023). Exploring research trends of technology use in mathematics education: A scoping review using topic modeling. Education and Information Technologies, 28(8), 10753-10780. https://doi.org/10.1007/s10639-023-11603-0

Jie, L., Jinqi, L., Weiwei, P., Mengjiao, F., & Yejia, L. (2019). EEG correlates of math anxiety during arithmetic problem solving: Implication for attention deficits. Neuroscience Letters, 703. https://doi.org/10.1016/j.neulet.2019.03.047

Naveed, Q. N., Choudhary, H., Ahmad, N., Alqahtani, J., & Qahmash, A. I. (2023). Mobile Learning in Higher Education: A Systematic Literature Review. Sustainability, 15(18), 13566. https://doi.org/10.3390/su151813566

Nwosu, K. C., Chinyere, E. N., Mbelede, N. G., & Maduka, C. (2023). Assessing Students’ Mathematics Interests and Perceived Teacher Effectiveness in Rural Communities: Implications for Rural Mathematics Education. Journal of Advocacy, Research and Education, 10(3), 121-132.

Panqueban, D., & Arcos, J. H. (2024). Artificial Intelligence in Mathematics Education: A Systematic Review. Uniciencia, 38(1), 10.

Procopio, M., Fernández-Cézar, R., Fernandes-Procopio, L., & Yánez-Araque, B. (2024). Neuroscience-Based Information and Communication Technologies Development in Elementary School Mathematics through Games: A Case Study Evaluation. Education Sciences, 14(3), 213. https://doi.org/10.3390/educsci14030213

Ruiz, F. B., & Etchepare, G. C. (2024). El efecto de las funciones ejecutivas sobre la competencia matemática temprana: Un modelo de ecuaciones estructurales. Educación XX1: Revista de la Facultad de Educación, 27(1), 281-301.

Souza, J. B., Trevisan, B. T., Nunes, L. G., Machado, W. L., & Seabra, A. G. (2024). A Naturalistic Intervention to Promote Executive Functions in Primary School Children: A Pilot Study. Brain Sciences, 14(1), 70. https://doi.org/10.3390/brainsci14010070

Tepho, S., & Srisawasdi, N. (2023). Assessing Impact of Tablet-Based Digital Games on Mathematics Learning Performance. Engineering Proceedings, 38(1), 41. https://doi.org/10.3390/engproc2023038041

Vankúš, P. (2021). Influence of Game-Based Learning in Mathematics Education on Students’ Affective Domain: A Systematic Review. Mathematics, 9(9), 986. https://doi.org/10.3390/math9090986

Wijaya, T. T., Cao, Y., Weinhandl, R., & Tamur, M. (2022). A meta-analysis of the effects of E-books on students’ mathematics achievement. Heliyon, 8(6), e09432. https://doi.org/10.1016/j.heliyon.2022.e09432

Zhang, D.-W., Zaphf, A., & Klingberg, T. (2021). Resting State EEG Related to Mathematical Improvement After Spatial Training in Children. Frontiers in Human Neuroscience, 15, 698367. https://doi.org/10.3389/fnhum.2021.698367

Downloads

Published

2025-12-30

Issue

Section

Original

How to Cite

1.
Moreira Parrales ML, Murillo Sánchez MM, Vite Juanazo LV, Cifuentes Moreira JE. Mathematics in Rural Upper Secondary Education and Cognitive Enhancement: Opportunities and Tensions in the Use of Technologies to Improve Performance. NeuroData [Internet]. 2025 Dec. 30 [cited 2026 Mar. 21];2:114. Available from: https://neuro.jogbeditorial.ec/index.php/neuro/article/view/114