Empowering Students' Autonomy in <scp>EFL</scp> Learning: <scp>AI</scp> Innovations in Schools of the Global South

ABSTRACT This PRISMA‐guided systematic review examines how Artificial Intelligence (AI) supports the development of student autonomy in school‐based English as a Foreign Language (EFL) learning across the Global South. Drawing on 22 peer‐reviewed empirical studies (2020–2024), the synthesis highlights both the promise and the constraints of AI integration in diverse, resource‐variable contexts. Three core mechanisms emerged: (1) AI‐enhanced personalized learning and feedback, enabling learners to progress at self‐determined paces across speaking, reading, writing, listening, and vocabulary learning; (2) opportunities for self‐directed learning through intelligent tutoring systems, fostering greater ownership over learning trajectories; and (3) cultural and contextual adaptation, whereby locally responsive AI tools improve engagement and relevance. These mechanisms are shaped by critical contextual moderators, including infrastructure limitations, disparities in device access, and varying levels of teacher preparedness. Emotional and pedagogical implications further underscore the need for reflective, ethical integration. Overall, the review concludes that AI has significant potential to empower student autonomy in EFL education within the Global South, provided its use is context‐sensitive, equity‐driven, and supported by targeted teacher training and adaptive policy frameworks.

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Publication Details

Journal
The Electronic Journal of Information Systems in Developing Countries
Published
2025-10-01
DOI
https://doi.org/10.1002/isd2.70041
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
3.39
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article

Empowering Students' Autonomy in EFL Learning: AI Innovations in Schools of the Global South

Tripti Bej, Arnab Kundu
2 citations
The Electronic Journal of Information Systems in Developing Countries
Online Learning and Analytics
3.39
article

Empowering Students' Autonomy in EFL Learning: AI Innovations in Schools of the Global South

Tripti Bej, Arnab Kundu
article en
2 citations

Abstract

ABSTRACT This PRISMA‐guided systematic review examines how Artificial Intelligence (AI) supports the development of student autonomy in school‐based English as a Foreign Language (EFL) learning across the Global South. Drawing on 22 peer‐reviewed empirical studies (2020–2024), the synthesis highlights both the promise and the constraints of AI integration in diverse, resource‐variable contexts. Three core mechanisms emerged: (1) AI‐enhanced personalized learning and feedback, enabling learners to progress at self‐determined paces across speaking, reading, writing, listening, and vocabulary learning; (2) opportunities for self‐directed learning through intelligent tutoring systems, fostering greater ownership over learning trajectories; and (3) cultural and contextual adaptation, whereby locally responsive AI tools improve engagement and relevance. These mechanisms are shaped by critical contextual moderators, including infrastructure limitations, disparities in device access, and varying levels of teacher preparedness. Emotional and pedagogical implications further underscore the need for reflective, ethical integration. Overall, the review concludes that AI has significant potential to empower student autonomy in EFL education within the Global South, provided its use is context‐sensitive, equity‐driven, and supported by targeted teacher training and adaptive policy frameworks.

The Electronic Journal of Information Systems in Developing CountriesVol. 91(6)
Bankura University (IN)
Openalex Percentile: Top 6%
Online Learning and Analytics
3.39
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