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Download PDFOpen PDF in browserLeveraging Big Data and AI for Personalized Learning Opportunities, Challenges, and Ethical ConsiderationsEasyChair Preprint 1400411 pages•Date: July 16, 2024AbstractThis 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 Download PDFOpen PDF in browser |
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