Enhancing Educational Interactions: A Comprehensive Review of AI Chatbots in Learning Environments

Abstract

This comprehensive review paper explores the multifaceted landscape of AI chatbots in education, investigating their theoretical foundations, applications, challenges, and future prospects. We examine the diverse types of AI chatbots, ranging from rule-based systems to machine learning models, and delve into their theoretical alignment with pedagogical and cognitive learning theories. The applications of AI chatbots in education, including personalized learning, tutoring, student support, and administrative tasks, are scrutinized for their impact on enhancing the learning experience. Challenges and limitations in technical, user adoption, ethical, and security domains are critically analyzed, providing insights into the nuanced considerations of AI chatbot implementation. Looking forward, the paper explores emerging technologies, unexplored application domains, and potential interdisciplinary collaborations, outlining future directions for AI chatbots in education. The aim of this review is to provide a comprehensive resource for educators, researchers, and policymakers. Additionally, the article provides an overview of the current state of AI chatbots in the educational sphere and the future possibilities for them.

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