Game Mechanics and Artificial Intelligence Personalization: A Framework for Adaptive Learning Systems

The phenomenal growth of digital learning platforms has brought new learner engagement and retention challenges to higher education. This study proposes a framework that integrates game mechanics—leveling systems, badges, and timely feedback—with artificial intelligence (AI)-driven personalization t...

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Veröffentlicht in:	Education sciences Jg. 15; H. 3; S. 301
Hauptverfasser:	Naseer, Fawad, Khan, Muhammad Nasir, Addas, Abdullah, Awais, Qasim, Ayub, Nafees
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.03.2025
Schlagworte:	Adaptive learning adaptive learning systems Adult Learning Algorithms Artificial intelligence At Risk Students Cognitive Psychology College dropouts Control Groups Customization Designers Difficulty Level Distance Education Distance learning Education Educational Environment Educational objectives Educational Psychology Electronic Learning Equipment and supplies Feedback (Response) Formative Evaluation framework development game mechanics Games Gamification Higher education Holistic Approach Individualized Instruction Influence of Technology Instructional design Instructional Materials Integrated approach Intelligent tutoring systems Learner Engagement Learning Management Systems Learning Modules Learning Motivation Lifelong Learning Literature reviews Mechanics Motivation Online instruction online learning platforms personalized learning Student Motivation Teachers Teaching Pakistan
ISSN:	2227-7102, 2227-7102
Online-Zugang:	Volltext
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