THE IMPACT OF ARTIFICIAL INTELLIGENCE TOOLS ON ENHANCING SELF-DIRECTED LEARNING AMONG UNIVERSITY STUDENTS
Keywords:
artificial intelligence; self-directed learning; higher education; adaptive learning; metacognition; autonomy; digital pedagogy; assessmentAbstract
This article explores the impact of artificial intelligence (AI) tools on enhancing self-directed learning (SDL) among university students. It examines how AI-driven technologies such as adaptive learning systems, intelligent tutoring systems, and generative AI applications support autonomy, personalization, and metacognitive regulation. Drawing on established learning theories and recent empirical research, the study highlights benefits, challenges, and pedagogical implications of AI integration. The article concludes that AI can significantly strengthen SDL when ethically and pedagogically implemented.
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