Systematic Review of Mobile Learning Models for Enhancing STEM Access in Public Secondary Schools

This systematic review explores the landscape of mobile learning models designed to enhance access to STEM education in public secondary schools. Drawing upon theoretical frameworks such as constructivism, socio-cultural learning, and cognitive load theory, the study critically analyzes typologies of mobile learning—including content delivery systems, collaborative platforms, and adaptive learning technologies—and assesses their pedagogical relevance and contextual implementation. The review identifies a diverse range of models that demonstrate potential in improving learner engagement, personalization, and inclusion within STEM subjects. Despite these innovations, the study reveals persistent barriers that hinder effective deployment, including technological limitations, infrastructural disparities, policy fragmentation, and insufficient teacher training. Institutional readiness, curriculum integration, and sustainable funding are highlighted as essential enablers for scaling mobile learning solutions in both urban and rural settings. The paper concludes by offering actionable recommendations for educators, policymakers, and school leaders, and outlines critical directions for future research aimed at fostering equitable, scalable, and culturally responsive mobile learning ecosystems in STEM education.

Authors

Institutions

Publication Details

Journal
International Journal of Scientific Research in Mechanical and Materials Engineering
Published
2025-05-29
DOI
https://doi.org/10.32628/ijsrmme259225
Primary Topic
Mobile Learning in Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic Review of Mobile Learning Models for Enhancing STEM Access in Public Secondary Schools

Fadeke Adeola Atobatele, Olanrewaju Awoyemi, Ginikachi Prisca Ifenatuora
International Journal of Scientific Research in Mechanical and Materials Engineering
Mobile Learning in Education
article

Systematic Review of Mobile Learning Models for Enhancing STEM Access in Public Secondary Schools

Fadeke Adeola Atobatele, Olanrewaju Awoyemi, Ginikachi Prisca Ifenatuora
article en

Abstract

This systematic review explores the landscape of mobile learning models designed to enhance access to STEM education in public secondary schools. Drawing upon theoretical frameworks such as constructivism, socio-cultural learning, and cognitive load theory, the study critically analyzes typologies of mobile learning—including content delivery systems, collaborative platforms, and adaptive learning technologies—and assesses their pedagogical relevance and contextual implementation. The review identifies a diverse range of models that demonstrate potential in improving learner engagement, personalization, and inclusion within STEM subjects. Despite these innovations, the study reveals persistent barriers that hinder effective deployment, including technological limitations, infrastructural disparities, policy fragmentation, and insufficient teacher training. Institutional readiness, curriculum integration, and sustainable funding are highlighted as essential enablers for scaling mobile learning solutions in both urban and rural settings. The paper concludes by offering actionable recommendations for educators, policymakers, and school leaders, and outlines critical directions for future research aimed at fostering equitable, scalable, and culturally responsive mobile learning ecosystems in STEM education.

International Journal of Scientific Research in Mechanical and Materials EngineeringVol. 9(3)
Pathfinder International (US), Launchpad Central (United States) (US)
Openalex Percentile: Top 83%
Mobile Learning in Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.