63 citations · 137 across the 11 of their papers we have counts for
11 papers
AI-Mediated Feedback Improves Student Revisions: A Randomized Trial with FeedbackWriter in a Large Undergraduate Course
Xinyi Lu, Kexin Phyllis Ju, Mitchell Dudley +2
Despite growing interest in using LLMs to generate feedback on students' writing, little is known about how students respond to AI-mediated versus human-provided feedback. We addre…
RelianceScope: An Analytical Framework for Examining Students' Reliance on Generative AI Chatbots in Problem Solving
Hyoungwook Jin, Minju Yoo, Jieun Han +3
Generative AI chatbots enable personalized problem-solving, but effective learning requires students to self-regulate both how they seek help and how they use AI-generated response…
More AI Assistance Reduces Cognitive Engagement: Examining the AI Assistance Dilemma in AI-Supported Note-Taking
Xinyue Chen, Kunlin Ruan, Kexin Phyllis Ju +2
As AI tools become increasingly embedded in cognitively demanding tasks such as note-taking, questions remain about whether they enhance or undermine cognitive engagement. This pap…
Exploring LLM-Generated Feedback for Economics Essays: How Teaching Assistants Evaluate and Envision Its Use
Xinyi Lu, Aditya Mahesh, Zejia Shen +3
This project examines the prospect of using AI-generated feedback as suggestions to expedite and enhance human instructors' feedback provision. In particular, we focus on understan…
TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students
Hyoungwook Jin, Minju Yoo, Jeongeon Park +3
Large language models (LLMs) can empower teachers to build pedagogical conversational agents (PCAs) customized for their students. As students have different prior knowledge and mo…
Easy Come, Easy Go? Examining the Perceptions and Learning Effects of LLM-based Chatbot in the Context of Search-as-Learning
Yeonsun Yang, Ahyeon Shin, Mincheol Kang +3
The cognitive process of Search-as-Learning (SAL) is most effective when searching promotes active encoding of information. The rise of LLMs-based chatbots, which provide instant a…
Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation
Xinyi Lu, Xu Wang
Evaluating the quality of automatically generated question items has been a long standing challenge. In this paper, we leverage LLMs to simulate student profiles and generate respo…
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration
Nahyun Kwon, Tong Sun, Yuyang Gao +4
The widespread consumer-grade 3D printers and learning resources online enable novices to self-train in remote settings. While troubleshooting plays an essential part of 3D printin…
Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation
Anjali Singh, Christopher Brooks, Xu Wang +3
This paper explores the space of optimizing feedback mechanisms in complex domains, such as data science, by combining two prevailing approaches: Artificial Intelligence (AI) and l…
MeetScript: Designing Transcript-based Interactions to Support Active Participation in Group Video Meetings
Xinyue Chen, Shuo Li, Shipeng Liu +2
While videoconferencing is prevalent, concurrent participation channels are limited. People experience challenges keeping up with the discussion, and misunderstanding frequently oc…
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation
Hong Shen, Wesley Hanwen Deng, Aditi Chattopadhyay +3
Recently, there have been increasing calls for computer science curricula to complement existing technical training with topics related to Fairness, Accountability, Transparency, a…