Keywords
Education; Generative AI
ChatGPT
Personalized Learning
Educational Equity
Teacher Training; AI Ethics
How to Cite
Abstract
Artificial Intelligence (AI) is transforming education by enabling personalized learning experiences, enhancing teaching efficiency, and promoting student engagement. This study provides a comprehensive literature review on the applications, challenges, and future directions of AI tech- nologies, with a focus on generative AI tools like ChatGPT, GPT-4, and BERT. The review explores the role of AI across primary, secondary, and higher education, examining its potential to foster inclusivity and address educational equity gaps. Key methods include thematic analysis of relevant literature to identify trends, challenges, and research gaps. The results highlight both the opportunities provided by AI, such as adaptive learning and automated assessment, and the challenges, including ethical concerns, algorithmic bias, and infrastructural limitations. The study concludes by emphasizing the need for ethical frameworks, teacher training, and interdisciplinary collaboration to ensure the responsible use of AI in education. Additionally, the research identifies future directions, including the integration of AI with emerging technologies like virtual and augmented reality. This review aims to provide actionable insights for educators, policymakers, and researchers to harness AI’s potential while maintaining a balance between technology and human interaction for meaningful learning experiences.
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Copyright (c) 2025 Nan Xiao, YuTing Pei, Chunhong Yuan, YuJia Bu, ZhiXuan Cai (Author)