Agentic artificial intelligence (AI) in education can reshape student success by fostering adaptive and personalized learning experiences. AI-powered systems are individually built to analyze academic records, career aspirations, and engagement with curricular and co-curricular activities to generate tailored recommendations that dynamically adjust learning pathways. While existing research has explored AI’s role in education, its full potential in holistic student development remains under-examined. This practitioner report presents an agentic framework that leverages advances in learning analytics to propose a practical application of agentic AI, emphasizing its future role in integrating academic support, skill-building opportunities, and career preparation. By continuously refining recommendations based on real-time progress, AI-powered systems will enhance student engagement, optimize resource accessibility, and ensure education remains flexible and responsive to evolving career pathways. This ongoing work aims to provide perspective and advance discussions on the future of AI in education, positioning agentic AI as a transformative proponent for student-centered success.

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From Insights to Impact: An Agentic Learning Intelligence Framework for Student-Centred Success

  • Joel Weijia Lai,
  • Wei Qiu,
  • Fun Siong Lim

摘要

Agentic artificial intelligence (AI) in education can reshape student success by fostering adaptive and personalized learning experiences. AI-powered systems are individually built to analyze academic records, career aspirations, and engagement with curricular and co-curricular activities to generate tailored recommendations that dynamically adjust learning pathways. While existing research has explored AI’s role in education, its full potential in holistic student development remains under-examined. This practitioner report presents an agentic framework that leverages advances in learning analytics to propose a practical application of agentic AI, emphasizing its future role in integrating academic support, skill-building opportunities, and career preparation. By continuously refining recommendations based on real-time progress, AI-powered systems will enhance student engagement, optimize resource accessibility, and ensure education remains flexible and responsive to evolving career pathways. This ongoing work aims to provide perspective and advance discussions on the future of AI in education, positioning agentic AI as a transformative proponent for student-centered success.