234 citations · 282 across the 12 of their papers we have counts for
12 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…
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…
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…
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…
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…
Self-regulated Learning Processes in Secondary Education: A Network Analysis of Trace-based Measures
Yixin Cheng, Rui Guan, Tongguang Li +7
While the capacity to self-regulate has been found to be crucial for secondary school students, prior studies often rely on self-report surveys and think-aloud protocols that prese…
Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing
Kaixun Yang, Yixin Cheng, Linxuan Zhao +4
The advent of Generative Artificial Intelligence (GAI) has revolutionized the field of writing, marking a shift towards human-AI collaborative writing in education. However, the dy…
Putting Our Minds Together: Iterative Exploration for Collaborative Mind Mapping
Ying Yang, Tim Dwyer, Zachari Swiecki +6
We delineate the development of a mind-mapping system designed concurrently for both VR and desktop platforms. Employing an iterative methodology with groups of users, we systemati…
Evidence-centered Assessment for Writing with Generative AI
Yixin Cheng, Kayley Lyons, Guanliang Chen +2
We propose a learning analytics-based methodology for assessing the collaborative writing of humans and generative artificial intelligence. Framed by the evidence-centered design,…
Human-Centred Learning Analytics and AI in Education: a Systematic Literature Review
Riordan Alfredo, Vanessa Echeverria, Yueqiao Jin +4
The rapid expansion of Learning Analytics (LA) and Artificial Intelligence in Education (AIED) offers new scalable, data-intensive systems but also raises concerns about data priva…
Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations
Lixiang Yan, Vanessa Echeverria, Gloria Fernandez Nieto +5
Generative artificial intelligence (GenAI) offers promising potential for advancing human-AI collaboration in qualitative research. However, existing works focused on conventional…