THE ROLE OF AI IN PERSONALIZED LEARNING
Keywords:
Artificial Intelligence; Personalized Learning; Adaptive Education; Cognitive Load Management; Automated Feedback; Learner Engagement; Self-Directed Study.Abstract
This article investigates the influence of Artificial Intelligence (AI) on personalized learning and its diverse effects on student engagement, management of cognitive load, and self-directed learning behaviors. A structured survey was conducted using a Telegram bot, targeting a random sample of 30 university students aged between 20 and 23. Participants provided their feedback on five detailed Likert-scale questions assessing their overall views, frequency of use, familiarity with tools, perceived effectiveness, and perspectives on the role of AI compared to human educators. The responses were coded (A=5 to E=1) and categorized based on the number of ‘very positive’ responses, leading to the identification of three groups: Strong Enthusiasts (n=6), Moderate Supporters (n=18), and Cautious Adopters (n=6). Key findings indicate that 80% of the participants have a positive outlook on AI-enhanced learning. On a quantitative basis, adaptive modules resulted in a 30% increase in lesson completion rates, automated feedback systems improved revision quality by 25%, and AI-driven scheduling tools enhanced weekly study time by 15%. These findings highlight AI’s potential to streamline personalized learning paths, minimize wasted time, and facilitate greater understanding. However, qualitative insights reveal apprehensions regarding possible overdependence and a decrease in critical thinking skills. The study concludes with suggestions for a blended teaching model that combines the advantages of AI with human-led education to maintain educational richness and interpersonal interaction.
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