aceAdaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review
The rapid evolution of e-learning platforms, propelled by advancements in artificial intelligence (AI) and machine learning (ML), presents a transformative potential in education. This dynamic landscape necessitates an exploration of AI/ML integration in adaptive learning systems to enhance educational outcomes. This study aims to map the current utilization of AI/ML in e-learning for adaptive learning, elucidating the benefits and challenges of such integration and assessing its impact on student engagement, re…
AI/ML integration in adaptive e-learning systems personalizes learning experiences and optimizes learning paths, leading to higher student engagement, retention, and academic performance including increased test scores.
Findings are synthesized from prior literature rather than a new controlled trial, and the review itself flags unresolved boundaries around privacy and system complexity.
Evidence
- Peer-reviewedEducation Sciences2023-12-06
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Truvace Impact Record TRV-2026-0869, v1: “Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review.” Truvace, 2026-08-24. /record/TRV-2026-0869 (accessed at citation time). sha256 2841e45f5baecebf…
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