Journal of Information Systems Engineering and Management

AI-Powered Personalized Learning Journeys: Revolutionizing Information Management for College Students in Online Platforms
Ming Yang 1, Fuyuan Weng 2 *
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1 Ph.D candidate, Krirk University, Bangkok, Thailand
2 Professor, Krirk University, Bangkok, Thailand
* Corresponding Author
Research Article

Journal of Information Systems Engineering and Management, 2023 - Volume 8 Issue 1, Article No: 23196
https://doi.org/10.55267/iadt.07.14079

Published Online: 27 Jan 2023

Views: 236 | Downloads: 238

How to cite this article
APA 6th edition
In-text citation: (Yang & Weng, 2023)
Reference: Yang, M., & Weng, F. (2023). AI-Powered Personalized Learning Journeys: Revolutionizing Information Management for College Students in Online Platforms. Journal of Information Systems Engineering and Management, 8(1), 23196. https://doi.org/10.55267/iadt.07.14079
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Yang M, Weng F. AI-Powered Personalized Learning Journeys: Revolutionizing Information Management for College Students in Online Platforms. J INFORM SYSTEMS ENG. 2023;8(1):23196. https://doi.org/10.55267/iadt.07.14079
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Yang M, Weng F. AI-Powered Personalized Learning Journeys: Revolutionizing Information Management for College Students in Online Platforms. J INFORM SYSTEMS ENG. 2023;8(1), 23196. https://doi.org/10.55267/iadt.07.14079
Chicago
In-text citation: (Yang and Weng, 2023)
Reference: Yang, Ming, and Fuyuan Weng. "AI-Powered Personalized Learning Journeys: Revolutionizing Information Management for College Students in Online Platforms". Journal of Information Systems Engineering and Management 2023 8 no. 1 (2023): 23196. https://doi.org/10.55267/iadt.07.14079
Harvard
In-text citation: (Yang and Weng, 2023)
Reference: Yang, M., and Weng, F. (2023). AI-Powered Personalized Learning Journeys: Revolutionizing Information Management for College Students in Online Platforms. Journal of Information Systems Engineering and Management, 8(1), 23196. https://doi.org/10.55267/iadt.07.14079
MLA
In-text citation: (Yang and Weng, 2023)
Reference: Yang, Ming et al. "AI-Powered Personalized Learning Journeys: Revolutionizing Information Management for College Students in Online Platforms". Journal of Information Systems Engineering and Management, vol. 8, no. 1, 2023, 23196. https://doi.org/10.55267/iadt.07.14079
ABSTRACT
Since college students rely more on online education, artificial intelligence (AI) is changing virtual learning paths. The study shows how schools are personalising instruction and improving student engagement, comprehension, and retention with AI algorithms and data analytics. The essay covers key features of AI-powered personalised learning , from content recommendations to customisable evaluations and real-time feedback. The essay critiques these innovations' ethical and transparency difficulties, despite their potential benefits. It emphasises ethical AI-driven teaching by highlighting prejudice and data privacy issues. AI can improve education, but it has limitations, recommending a balance between innovation and ethical scrutiny. The paper proposes federated learning to address these difficulties. Federated learning decentralises data and encourages diverse data sets in localised environments to reduce biases and privacy breaches. Federated learning protects privacy, making it a viable AI-driven education solution, as the study shows. AI-facilitated customised learning may improve academic performance and digital skills, according to the study. It stresses ethics and openness in AI-driven education. Federated learning may help ethically integrate AI into education by balancing privacy and personalisation.
KEYWORDS
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