Generative Artificial Intelligence Empowered Collaborative Learning: Models, Algorithms, and System This project will research the comprehensive assessment metric of knowledge mastery in collaborative learning. We will devise novel algorithms to predict students’ learning performance in collaborative environment and a novel AIGC-based model to stimulate student learning and maximise the engagement as well as knowledge mastery for every student in the forum. In addition, we will develop an intelligent collaborative learning chatbot with a user-friendly interface to support front-line teaching.
Project Start Year: 2024, Principal Investigator(s): XU, Guandong
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AI in Contextual Teaching and Learning (CTL) and Self-directed Learning (SDL) for K-12 Students
Project Start Year: 2024, Principal Investigator(s): XU, Guandong
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Towards Demand-driven Education in AI Era: A Predictive Recommender Approach This project will research the impact of AI on job displacement and the evolving demand for job skills, aiming to develop novel algorithms to accurately predict the risk of job displacement and the upcoming trend of demanded job skills. An innovative demand-aware course recommendation system will be developed.
Project Start Year: 2024, Principal Investigator(s): XU, Guandong
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