activity
20202026
most citedTowards Reliable Generative AI-Driven Scaffolding: Reducing Hallucinations and Enhancing Quality in Self-Regulated Learning Support

30 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

AI-Driven Analytics of Team-Teaching Talk: Acoustic Patterns across Experience, Cohorts and the Learning Design

Yuchen Liu, Roberto Martinez-Maldonado, Riordan Alfredo +3

As classroom cohorts expand, team teaching is increasingly used to integrate the expertise and pedagogical perspectives of multiple teachers. Yet, there is limited empirical unders…

cs.CY2025★ 30 cited

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…

cs.CY2025

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…

cs.CY2025

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…

cs.HC2020★ 2 cited

Using voice note-taking to promote learners' conceptual understanding

Anam Ahmad Khan, Sadia Nawaz, Joshua Newn +3

Though recent technological advances have enabled note-taking through different modalities (e.g., keyboard, digital ink, voice), there is still a lack of understanding of the effec…