AI-Driven Personalized Learning: A Comprehensive Survey of Chatbot Applications in Education and Training
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Abstract
This survey examines the use of AI-powered chat- bots in educational environments, focusing on their role in enhancing personalized learning experiences. By reviewing recent studies, this paper highlights the capabilities, benefits, and challenges of chatbot applications, including adaptive learning, student engagement, and language acquisition support. The findings show that chatbots can assist with personalized tutoring, provide real-time feedback, and streamline administrative tasks, significantly enhancing student engagement. However, challenges such as data privacy, ethical implications, and integration with existing educational systems remain. This survey provides in- sights into current trends and identifies critical areas for future research, aiming to guide educators and developers in optimizing AI-driven learning solutions. Index Terms—Artificial Intelligence (AI), Mobile Learning, En- glish Language Learning, Rural Education, Duolingo, Adaptive Learning, Student Engagement, User Experience, English as a Foreign Language (EFL), Classroom Integration, Blended Learn- ing, Vocabulary Retention, Learning Outcomes, AI-Enhanced Teaching, Innovation in Education.
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- last seen: 2026-05-20T01:45:00.602351+00:00