Leveraging Big Data and AI for Personalized Learning Opportunities, Challenges, and Ethical Considerations

EasyChair Preprint 14004

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.

Keyphrases: AI technologies, Ethical, learning opportunities

@booklet{EasyChair:14004,
  author    = {Budee U Zaman},
  title     = {Leveraging Big Data and AI for Personalized Learning Opportunities, Challenges, and Ethical Considerations},
  howpublished = {EasyChair Preprint 14004},
  year      = {EasyChair, 2024}}