20 papers
Dean of LLM Tutors: A Framework for Automated Quality Review of AI-generated Feedback
Keyang Qian, Yixin Cheng, Rui Guan +8
Large language model (LLM) tutors are increasingly used to generate educational feedback, but existing research has focused mainly on feedback generation rather than feedback evalu…
SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research
Keyang Qian, Kaixun Yang, Wei Dai +8
Using Large Language Models (LLMs) to give educational feedback to students for their assignments has attracted much attention in the AI in Education (AIED) field. Yet, there is cu…
Toward Scalable Co-located Practical Learning: Assisting with Computer Vision and Multimodal Analytics
Xinyu Li, Linxuan Zhao, Yueqiao Jin +5
Co-located practical learning leaves evidence in visible actions around patients, task resources and room zones, but these traces are often recovered through live observation or re…
Socially fluent AI decouples conversational signals from source identity in online interaction
Lixiang Yan, Yueqiao Jin, Xibin Han +1
Socially fluent agentic AI can now participate in online interaction in ways that resemble ordinary human conversation, potentially weakening people's ability to infer who is human…
Agentivism: a learning theory for the age of artificial intelligence
Lixiang Yan, Dragan GaÅ¡eviÄ
Learning theories have historically changed when the conditions of learning evolved. Generative and agentic AI create a new condition by allowing learners to delegate explanation,…
Building AI Companions that Prioritise Learning over Performance
Hassan Khosravi, Dragan Gasevic, Shazia Sadiq +7
Large language models (LLMs) are rapidly transforming knowledge work by improving the quality and efficiency of tasks such as writing, coding, and data analysis. However, their gro…