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The comprehensive investigation of the role related to artificial intelligence in education
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Abstract
This systematic literature review extensively explores the prospects of Artificial Intelligence (AI) applications in the realm of learning from 2019 to 2023. It delves into key areas such as intelligent tutoring systems and online learning platforms, while meticulously examining their underlying technologies. The coverage includes methods for integrating AI into student models, as well as algorithms for enhancing adaptive learning and improving the precision of personalized learning content recommendations. The paper also discusses challenges and prospects, including the potential of AI to reshape the teaching profession and privacy concerns. The review underscores the ongoing necessity of striking a balance between human involvement and automation, emphasizing that AI serves as an auxiliary tool rather than a replacement in education. Additionally, the study investigates the integration of AI in online learning, emphasizing the need for user-friendly interfaces and robust data protection policies. Lastly, the research highlights the importance of interdisciplinary collaboration and ethical considerations, envisioning a future where AI and education seamlessly harmonize.
Keywords
artificial intelligence, education, machine learning
[1]. Chen L Chen P and Lin Z 2020 Artificial intelligence in education: A review Ieee Access 8 pp 75264-75278
[2]. Williamson B and Eynon R 2020 Historical threads, missing links, and future directions in AI in education Learning, Media and Technology 45(3) pp 223-235
[3]. Holmes W Bialik M and Fadel C 2023 Artificial intelligence in education Globethics Publications
[4]. Luckin R and Holmes W 2016 Intelligence unleashed: An argument for AI in education
[5]. Tahiru F 2021 AI in education: A systematic literature review Journal of Cases on Information Technology (JCIT) 23(1) pp 1-20
[6]. Hwang G J Xie H Wah B W and Gašević D 2020 Vision, challenges, roles and research issues of Artificial Intelligence in Education Computers and Education: Artificial Intelligence 1 100001
[7]. Almasri A Ahmed A Almasri N Abu Sultan Y S Mahmoud A Y Zaqout I S and Abu-Naser S S 2019 Intelligent tutoring systems survey for the period 2000-2018
[8]. Conati C 2009 June Intelligent tutoring systems: New challenges and directions In Twenty-first international joint conference on artificial intelligence
[9]. Nwana H S 1990 Intelligent tutoring systems: an overview. Artificial Intelligence Review 4(4) pp 251-277
[10]. Eryılmaz M and Adabashi A 2020 Development of an intelligent tutoring system using bayesian networks and fuzzy logic for a higher student academic performance Applied Sciences 10(19) 6638
[11]. Lu Y Pian Y Chen P Meng Q and Cao Y 2021 May Radarmath: An intelligent tutoring system for math education. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 18, pp. 16087-16090)
[12]. Wei X Sun S Wu D and Zhou L 2021 Personalized online learning resource recommendation based on artificial intelligence and educational psychology Frontiers in psychology 12 767837
[13]. Sharma P and Harkishan M 2022 Designing an intelligent tutoring system for computer programing in the Pacific Education and Information Technologies 27(5) pp 6197-6209
[14]. Duan X and Duan P 2021 December English Education Online Platform Based on Artificial Intelligence In 2021 International Conference on Aviation Safety and Information Technology (pp. 87-90)
Cite this article
Zhou,B. (2024). The comprehensive investigation of the role related to artificial intelligence in education. Applied and Computational Engineering,36,215-219.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation
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