8 papers
From Diagnosis to Redesign: Using Quantitative Ethnography to Improve Multi-Agent LLM Reasoning
Vedant Khatri, Anthony Cusimano, Zachari Swiecki +3
Multi-agent large language model (LLM) systems are designed to improve reasoning by decomposing tasks across multiple agents with specialized functions, but the presence of multipl…
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…
GoldMind: A Teacher-Centered Knowledge Management System for Higher Education -- Lessons from Iterative Design
Gloria Fernández-Nieto, Lele Sha, Yuheng Li +10
Designing Knowledge Management Systems (KMSs) for higher education requires addressing complex human-technology interactions, especially where staff turnover and changing roles cre…
Towards Reliable Generative AI-Driven Scaffolding: Reducing Hallucinations and Enhancing Quality in Self-Regulated Learning Support
Keyang Qian, Shiqi Liu, Tongguang Li +8
Generative Artificial Intelligence (GenAI) holds a potential to advance existing educational technologies with capabilities to automatically generate personalised scaffolds that su…
Capturing and Sharing Know-How through Visual Process Representations: A Human-Centred Approach to Teacher Workflows
Gloria Fernández-Nieto, Vanessa Echeverria, Yuheng Li +5
Knowledge Management is crucial for capturing and transferring expertise within universities, especially in high staff turnover contexts where expertise loss disrupts teaching. Doc…