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Vol.15, No.1, February 2026. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
The Role of Artificial Intelligence, Machine Learning, and Deep Learning in Education
Ayat Aljarrah, Mustafa Ababneh
© 2026 Ayat Aljarrah, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 15, Issue 1, Pages 798-813, ISSN 2217-8309, DOI: 10.18421/TEM151-74, February 2026.
Received: 10 February 2025.
Abstract:
Applications of Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) technologies in education have advanced significantly in recent years. These technologies have revolutionized instructional design, classroom activities, student participation, and education research. This paper reviews the role of AI, ML, and DL in education, and their impact on student needs, teaching strategies, resource usage, and personalized learning for the need to revamp educational system. These technologies have enhanced learning outcomes, curriculum development, and classroom tasks by enabling personalized learning. The review reveals a new direction in cutting-edge research on schooling because it has created new opportunities for individualized learning, instructional design, and complex learning systems for schools and universities. It is because AI, ML, and DL technologies have offered modern precision education, improving student learning and competences. This is achieved via model-driven data analytics that the algorithms directly created, interpretated, and validated with rapid pace. The educational system and process need to be revamped in light of these shifting technologies. Thus, further integration of AI, ML, and DL in education can enhance learninginvolvement, provide more personalized experiences, and develop student essential skills like digital literacy, creativeness, teamwork, and analytical thinking. Future research can explore the impact of personalized learning, AI-assisted recognition, and automated assessment on schooling and higher education in the revamping of education systems.
Keywords – Artificial Intelligence, deep learning, education, machine learning. |
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