A Comprehensive Analysis of Artificial Intelligence in Present Education system

Abstract

A thorough summary of current scientific research on the disruptive impacts of artificial intelligence on education is provided by this systematic review. In order to obtain significant insights, this study examines a sample of 12 academic outputs from the post-pandemic era, taking into account the explosive growth of AI integration in education over the last three years. Despite the fact that earlier research has demonstrated the potential benefits of AI for educators and learners alike, little is known about the specific applications of AI in the classroom. Therefore, the purpose of this research article is to examine the advantages and disadvantages of integrating AI technologies into education, as well as the educational level at which these tools are most frequently used in teaching and learning, and the features of the models that are currently in use. Although there isn’t many research on this important subject, the ones that are now available provide current information on the knowledge, tools, actions, and repercussions of AI systems in education. The results show that students' conceptual understanding of artificial intelligence, robotics, artificial neural networks, and computer science, as well as the development of other critical skills like creativity, literacy, cooperative learning, and emotion regulation, have all significantly improved thanks to AI tools. Lastly, new avenues for investigating AI in education are discussed.