Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

A multi-theoretical thematic synthesis expounding challenges influencing students’ attitudes and intentions towards mobile learning in higher education

Bibliographic Data

ID22436629
AuthorsPhathutshedzo Makhavhu (0009-0004-9543-1475, University of South Africa, corresponding author), Mampilo Phahlane (0000-0002-0313-8094, University of South Africa)
Year2026
Publication date2026-05-30
Open AccessYes
TypeARTICLE
VenueDiscover Education (JOURNAL)
Journal identifiersISSN: 2731-5525 • E-ISSN: 2731-5525
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s44217-026-01654-z
OpenAlexW7162871265
LanguageEN

Mobile learning is increasingly essential in higher education. However, its implementation and continued utilization are inconsistent across contexts, especially in environments hindered by infrastructural limitations and digital inequalities. This systematic thematic review consolidates empirical research on the challenges affecting students’ attitudes and behavioural intentions toward mobile learning in higher education. Through a PRISMA-guided screening approach, 31 peer-reviewed studies published between 2021 and 2025 were identified from Google Scholar and Scopus and evaluated using thematic synthesis. The review identifies eight interconnected categories of adoption challenges: technological and interface design; educational design; psychological, motivational, and mental load; digital and AI literacy; institutional preparedness; socioeconomic; compatibility, integration & system interoperability; and cultural and communication factors. Although conventional adoption factors, such as perceived usefulness, ease of use, and facilitating conditions, continue to influence adoption, modern research highlights new obstacles associated with AI-enhanced mobile learning, including issues of trust, fairness, and transparency; mental load; ethics; and psychological readiness. This study synthesizes insights from the TAM, UTAUT, DOI, SDT, CLT, and ECM perspectives to develop a comprehensive conceptual framework. The review indicates that attitudes toward AI, along with psychological, motivational, and mental factors, shape learning strategies and outcomes, including deep and surface learning, satisfaction, engagement, and sustained use. The results suggest practical implications for policy and institutional strategy, as well as for educational design and responsible AI integration, consistent with global commitments to inclusive and equitable quality education.

Electronic learning · Higher education · Mobile device · Qualitative research · Thematic analysis · E-Learning and COVID-19 · Impact of Technology on Adolescents · Mobile Learning in Education

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae