AI and Decision Assistance for Enhancing Self-Directed Learning

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Qualitative analysis shows AI improves engagement and learning efficiency in self-directed learning, highlighting integration challenges.

AI-driven decision assistance enhances self-directed learning by improving resource selection and engagement.
Participants experienced reduced cognitive load and improved autonomy, leading to better learning outcomes.
Case studies and expert interviews form the qualitative basis for understanding AI's role in education.
Balancing AI technology with human oversight is crucial to mitigate limitations like emotional understanding.

Umar et al. (2025) studied this question.

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