International Journal of Academic Management Science Research (IJAMSR)   Year: 2023 | Volume: 7 | Issue: 5 | Page No.: 105-116 Students Perceptions of Artificial Intelligence in Education Download PDF Hala Mahmod Mostafa Bliede, Samer M. Arqawi, Basem S. Abunasser, Samy S. Abu-Naser Abstract: The integration of artificial intelligence (AI) in education has garnered significant attention in recent years. Understanding students' perceptions of AI in education is crucial for effectively implementing and optimizing AI-based educational systems. This research paper aims to explore and analyze students' perceptions of AI in education using a dataset specifically collected for this purpose. The dataset encompasses a diverse range of student responses and attitudes towards AI technology in educational settings. Machine learning and deep learning techniques were employed to predict the utility of AI in education based on the dataset. The models achieved an impressive accuracy, with an f1-score (99.90%), accuracy (99.90), precision (99.90%), and recall (99.90%), indicating their efficacy in predicting students' perceptions. The results shed light on students' excitement and interest in AI, as well as their concerns about job security, ethical considerations, and the potential impact on critical thinking skills. This study provides valuable insights into the perception of AI in education, informing educators, policymakers, and researchers about the potential benefits and challenges associated with its implementation. By understanding students' perspectives, educational institutions can make informed decisions to maximize the positive impact of AI while addressing students' concerns and ensuring ethical and inclusive implementation. Further research in this area can build upon these findings to enhance the integration of AI in education and optimize the learning experience for students.