Mathematics Education in the Fourth Industrial Revolution: Barriers and Opportunities
Arthur S. Armecin, Christian Jake Ambat, Jade Nicole A. Sentillas, John Razil V. Andres
Asian Journal of Education and Social Studies · pp. 470–479 · Published 20 Apr 2026
10.9734/ajess/2026/v52i42976Abstract
This narrative review examines the integration of Fourth Industrial Revolution (4IR) learning systems such as artificial intelligence, adaptive learning technologies, and gamified platforms in mathematics education. The review synthesizes studies published selected based on their relevance to mathematics instruction, empirical focus, and inclusion in peer reviewed journals. Studies unrelated to educational applications or lacking methodological rigor were excluded. Findings indicate that these technologies can enhance students’ critical thinking, problem solving skills, and engagement, while supporting personalized learning through adaptive and data driven instructional approaches. However, several barriers to effective implementation are consistently identified, including inadequate technological infrastructure, limited internet access, insufficient teacher training, and unequal access to digital resources. Issues related to curriculum alignment are also evident, as existing instructional frameworks and standards do not always support the integration of advanced technologies. Guided by the Unified Theory of Acceptance and Use of Technology, the review identifies key factors influencing technology adoption, including performance expectancy, effort expectancy, social influence, and facilitating conditions. Although international studies provide substantial insights, there remains a lack of context specific research, particularly within the Philippine setting. This gap highlights the need for localized investigations to support the effective, equitable, and sustainable implementation of 4IR based innovations in mathematics education.
Cited by 0
No indexed citations yet.
Related research
- The Impact/Role of Artificial Intelligence in Anesthesia: Remote Pre-Operative Assessment and Perioperative — shares topic coverage
- Detecting Dental Caries through Captured Images Using the Machine Learning Technology Teachable Machine — shares topic coverage
- Harnessing Artificial Intelligence in Healthcare Analytics: From Diagnosis to Treatment Optimization — shares topic coverage
- Diagnostic Accuracy of Artificial Intelligence for Breast Cancer Detection: A Systematic Review — shares topic coverage
- Artificial Intelligence in the Analysis of the Fetal Genome in Utero: A Critical Review of Current Paradigms, Clinical Utility and Future Horizons — shares topic coverage
Article metrics
Real usage data collected on this platform.
3
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.