Artificial intelligence Applications in education: A Technical review

Abstract

The rapid advancement of artificial intelligence has brought about changes in several sectors, including the education sector, where it has a significant role in developing learning outcomes, assigning educational experiences, and alleviating administrative work for teachers. AI systems, including machine learning and virtual reality, have been employed in educational practices, helping to provide innovative alternative solutions to traditional teaching and learning challenges. Despite the great opportunities presented by AI, both teachers and learners face many challenges, such as teachers’ readiness to adopt these technologies, their need for professional development, and moral concerns. This paper examines AI in education, exploring how it can improve curricula, support teachers, and enhance student outcomes. The research also highlights key barriers, including technological limitations, privacy issues, and biases in AI algorithms. Based on extensive literature reviews, the study explores new trends and research gaps, as well as guiding prospects for future research in AI-enabled education, with a great deal of attention focused on teacher training, long-term outcomes, ethical issues, and the effects of AI on student-teacher interactions in the educational environment. The Previous studies in the literature review suggest strategies to integrate AI into education effectively, helping students benefit from this technology without negatively impacting human values and the importance of personal interaction. This paper also addresses issues related to privacy and biases in AI algorithms.