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All Journal Physical Activity Journal (PAJU)
Fauzan, Ahmad Tegar
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Public Health Social Sciences Other

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AI-Based Learning System In Analyzing Student Progress In Real-Time Fauzan, Ahmad Tegar; Pratama, Rivan Saghita; Elda, Sheva Tiara Kasih
Physical Activity Journal (PAJU) Vol 7 No 1 (2025): Physical Activity Journal (PAJU)
Publisher : Department of Physical Education, Faculty of Health Sciences, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.paju.2025.7.1.16237

Abstract

This study aims to analyze the usage of AI in the learning system to analyze student progress in real-time. The method utilized is a narrative literature review, which is divided into two stages: collecting and analyzing data. Data was collected by examining 25 articles from various sources. Data analysis through topic-based categorization in AI-driven learning systems is employed to monitor and evaluate student progress in real time. The results of the narrative literature review reveal that AI has great potential in increasing the effectiveness and personalization of learning. However, it also poses challenges like the digital divide and ethical issues. In conclusion, implementing AI in education requires a holistic and sustainable approach to maximize its benefits and address its challenges.
Co-Authors Elda, Sheva Tiara Kasih Pratama, Rivan Saghita