Communications in Humanities Research ISSN: 2753-7072
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Research Article

Age of AI: Explore the Role of AI in Personalized Learning

Chenyue LiGuangxi University*

* Corresponding author: [email protected]

Abstract

Nowadays, the relationship between artificial intelligence and learning has received wide attention. However, there is still insufficient research on the relationship and application of artificial intelligence and personalized learning. This paper analyzes the relationship between the current artificial intelligence tools and personalized learning and the future application prospects of AI tools in personalized learning. The analysis of this paper shows that the current AI tools have been widely used in the learning process of students, and the use of after-school learning accounts for a higher proportion. In addition, when students use AI tools in their learning process, the role played by AI tools is not highly related to personalization. And the current AI tools still have certain shortcomings, and further improvements are needed to promote his application in personalized learning. Based on this, this paper puts forward the following suggestions. The first step is to strengthen the use of AI tools in the classroom so that they can participate in the whole process of personalized learning. In addition, AI tool developers should improve the flexibility of AI tools and add corresponding new functions in response to the needs of the education industry. Finally, schools should guide to enable students to use AI tools more effectively in the process of personalized learning and introduce policies to avoid academic misconduct caused by AI tools.

Keywords: Artificial Intelligence; Personalized Learning; Education; Questionnaire Survey
Published: January 24, 2025
DOI: 10.54254/2753-7064/2025.LC20612
Volume: CHR Vol.53
pp. 1-7
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References

  1. Atabekov, A. (2023). Artificial Intelligence in Contemporary Societies: Legal Status and Definition, Implementation in Public Sector across Various Countries. Social Sciences, 12(3), 178.
  2. Solari, M., Vizquerra, M. I., & Engel, A. (2022). Students' Interests for Personalized Learning: An Analysis Guide. European Journal of Psychology of Education, 38(3), 1073-1109.
  3. Steele, J. L. (2023). To GPT or Not GPT? Empowering Our Students to Learn with AI. Computers and Education Artificial Intelligence, 5, 100160.
  4. Alawamleh, M., Shammas, N., Alawamleh, K., & Bani Ismail, L. (2024). Examining the Limitations of AI in Business and the Need for Human Insights Using Interpretive Structural Modelling. Journal of Open Innovation, 10(3), 100338.
  5. Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success. Applied Sciences, 13(11), 6716.
  6. Maclure, J. (2021). AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind. Minds and Machines, 31(3), 421-438.
  7. Ameen, S., Wong, M., Yee, K., & Turner, P. (2022). AI and Clinical Decision Making: The Limitations and Risks of Computational Reductionism in Bowel Cancer Screening. Applied Sciences, 12(7), 3341.
  8. Birks, D., & Clare, J. (2023). Linking Artificial Intelligence Facilitated Academic Misconduct to Existing Prevention Frameworks. International Journal for Educational Integrity, 19(1).
  9. Khosravi, H., Denny, P., Moore, S., & Stamper, J. (2023). Learnersourcing in the Age of AI: Student, Educator and Machine Partnerships for Content Creation. Computers and Education: Artificial Intelligence, 5, 100151.
  10. Hagendorff, T. (2020). The Ethics of AI Ethics: An Evaluation of Guidelines. Minds and Machines, 30(1), 99-120.
  11. Kajiwara, Y., & Kawabata, K. (2024). AI Literacy for Ethical Use of Chatbot: Will Students Accept AI Ethics? Computers and Education Artificial Intelligence, 6, 100251-100251.