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Download PDFOpen PDF in browserE-Learning with Artificial Intelligence: the Road AheadEasyChair Preprint 97625 pages•Date: February 22, 2023AbstractArtificial intelligence (AI) has the potential to transform e-learning by providing personalized, adaptive, and interactive learning experiences. In this article, we review the current state of AI in e-learning, including personalized learning, intelligent tutoring systems, natural language processing, educational data mining, and gamification. We also discuss the challenges of AI in elearning, including data quality, lack of human interaction, explainability and transparency, cost, ethical concerns, and technical challenges. Finally, we outline the road ahead for AI-based elearning, including the need for collaboration between educators, technologists, and policymakers to ensure that AI-based e-learning systems are effective, equitable, and accessible to all learners. Keyphrases: Artificial Intelligence, e-learning, machine learning Download PDFOpen PDF in browser |
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