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Artificial Intelligence in Micro-Credentials for Open and Distance Learning: A Technologically-Enhanced Systematic Review
Abstract
Micro-credentials are growing rapidly, meeting the demand for a flexible workforce and aligning well with the ODL environment. The use of artificial intelligence is pushing education to new heights. However, AI's integration in micro-credentials for ODL is fragmented, limiting the field's expansion. This research aims to address this gap by conducting a systematic review using software to analyse the relevant literature comprehensively. Employing a hybrid approach of bibliometric and thematic analysis, the review examines forty-six articles on AI integration into micro-credentials in ODL, identifying research gaps and suggesting future directions. The review provides updated insights, benefiting both theoretical and practical applications. It offers a comprehensive reference for industry practitioners to bridge the gap between theory and practice, contributing new knowledge and identifying future research opportunities.
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