Version 1
: Received: 15 July 2024 / Approved: 15 July 2024 / Online: 16 July 2024 (07:33:36 CEST)
How to cite:
U Zaman, B. Leveraging Big Data and AI for Personalized Learning Opportunities, Challenges, and Ethical Considerations. Preprints2024, 2024071211. https://doi.org/10.20944/preprints202407.1211.v1
U Zaman, B. Leveraging Big Data and AI for Personalized Learning Opportunities, Challenges, and Ethical Considerations. Preprints 2024, 2024071211. https://doi.org/10.20944/preprints202407.1211.v1
U Zaman, B. Leveraging Big Data and AI for Personalized Learning Opportunities, Challenges, and Ethical Considerations. Preprints2024, 2024071211. https://doi.org/10.20944/preprints202407.1211.v1
APA Style
U Zaman, B. (2024). Leveraging Big Data and AI for Personalized Learning Opportunities, Challenges, and Ethical Considerations. Preprints. https://doi.org/10.20944/preprints202407.1211.v1
Chicago/Turabian Style
U Zaman, B. 2024 "Leveraging Big Data and AI for Personalized Learning Opportunities, Challenges, and Ethical Considerations" Preprints. https://doi.org/10.20944/preprints202407.1211.v1
Abstract
This paper explores the increasing use of big data in education to create personalized learning experiences tailored to individual student needs. The trend, driven by vast amounts of educational data, requires the development of new techniques to optimize learning outcomes while addressing the ethical implications of data collection and utilization. The paper emphasizes the necessity for robust policy frameworks to ensure transparency and trust, based on clear guidelines and parental consent. It also discusses how educational institutions are updating curricula to prepare learners for a rapidly evolving workforce, incorporating contemporary AI technologies that impact education systems. The dual influence of AI presents both opportunities and challenges, necessitating a balanced and thoughtful approach. The paper advocates for a holistic strategy in integrating AI in education, emphasizing the importance of collaboration between the AI industry and other sectors to develop comprehensive policy frameworks for the ethical and effective use of AI in education.
Keywords
AI; Education systems; learning experiences; ethical and effective
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
