Publications

[Conference] Predicting Learning Performance with Large Language Models: A Study in Adult Literacy

Liang Zhang, Jionghao Lin♠ , Conrad Borchers, John Sabatini, John Hollander, Meng Cao, and Xiangen Hu

[Conference] Dynamic adaptive gesturing predicts domain expertise in mathematics

Abishek Sriramulu*, Jionghao Lin*, Sharon Oviatt*

[Conference] Personalized Learning Squared (PLUS): Doubling Math Learning through AI-assisted Tutoring

Jionghao Lin, Danielle R Thomas, Zifei Han, Wei Tan, Ngoc Dang Nguyen, Shivang Gupta, Erin Gatz, Cindy Tipper, Kenneth R Koedinger

[Conference] Coursera-REC Chatbot: Personalized MOOCs Recommendation using RAG-facilitated LLM

[Conference] Can large language models provide feedback to students? A case study on ChatGPT

Wei Dai, Jionghao Lin, Hua Jin, Tongguang Li, Yi-Shan Tsai, Dragan Gašević, Guanliang Chen

[Journal] How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses

[J10] How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses

[J9] Towards Automated Transcribing and Coding of Embodied Teamwork Communication through Multimodal Learning Analytics

[J8] On the role of politeness in online human–human tutoring

Jionghao Lin, Mladen Raković, Yuheng Li, Haoran Xie, David Lang, Dragan Gašević, Guanliang Chen

[J7] Enhancing educational dialogue act classification with discourse context and sample informativeness

Jionghao Lin, Wei Tan, Lan Du, Wray Buntine, David Lang, Dragan Gašević, Guanliang Chen

[J6] Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences

Xieling Chen, Di Zou, Haoran Xie, Guanliang Chen, Jionghao Lin, Gary Cheng

[J5] Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education

Yuheng Li, Mladen Raković, Wei Dai, Jionghao Lin, Hassan Khosravi, Kirsten Galbraith, Kayley Lyons, Dragan Gašević, Guanliang Chen

[J4] Can large language models write reflectively

Yuheng Li, Lele Sha, Lixiang Yan, Jionghao Lin, Mladen Raković, Kirsten Galbraith, Kayley Lyons, Dragan Gašević, Guanliang Chen

[J3] Is the latest the greatest? A comparative study of automatic approaches for classifying educational forum posts

Lele Sha, Mladen Raković, Jionghao Lin, Quanlong Guan, Alexander Whitelock-Wainwright, Dragan Gašević, Guanliang Chen

[J2] Is it a good move? Mining effective tutoring strategies from human–human tutorial dialogues

Jionghao Lin, Shaveen Singh, Lele Sha, Wei Tan, David Lang, Dragan Gašević, Guanliang Chen

[J1] I know what you know: What hand movements reveal about domain expertise

Sharon Oviatt, Jionghao Lin, Abishek Sriramulu

[C16] Predicting Learning Performance with Large Language Models: A Study in Adult Literacy

Liang Zhang, Jionghao Lin♠ , Conrad Borchers, John Sabatini, John Hollander, Meng Cao, and Xiangen Hu

[C15] Dynamic adaptive gesturing predicts domain expertise in mathematics

Abishek Sriramulu*, Jionghao Lin*, Sharon Oviatt*

[C14] Using Generative AI to Provide Feedback to Adult Tutors in Training and Assess Real-life Performance

Danielle R. Thomas , Erin Gatz, Shivang Gupta, Jionghao Lin, Cindy Tipper, Kenneth R. Koedinger

[C13] How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses

Jionghao Lin, Eason Chen, Zeifei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger

[C12] Understanding Learning in Collaborative Tutoring Systems via Instructional Factors Analysis of Peer Tutoring Chats

Conrad Borchers, Kexin Yang, Jionghao Lin, Nikol Rummel, Kenneth R. Koedinger, Vincent Aleven

[C11] Predicting Learning Performance with Large Language Models: A Study in Adult Literacy

Liang Zhang, Jionghao Lin♠, Conrad Borchers, John Sabatini, John Hollander, Meng Cao, Xiangen Hu

[C10] Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation

Danielle R Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E Fancsali, Vincent Aleven, Lee Branstetter, Emma Brunskill, Kenneth R Koedinger

[C9] Do learners appreciate adaptivity? An epistemic network analysis of how learners perceive adaptive scaffolding

Tongguang Li, Jionghao Lin, Sehrish Iqbal, Zachari Swiecki, Yi-Shan Tsai, Yizhou Fan, Dragan Gašević

[C8] Can large language models provide feedback to students? A case study on ChatGPT

Wei Dai, Jionghao Lin, Hua Jin, Tongguang Li, Yi-Shan Tsai, Dragan Gašević, Guanliang Chen

[C7] Does informativeness matter? Active learning for educational dialogue act classification

Wei Tan, Jionghao Lin♠, David Lang, Guanliang Chen, Dragan Gašević, Lan Du, Wray Buntine

[C6] Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets

Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray Buntine, Richard Beare, Guanliang Chen, Dragan Gašević

[C5] Learner-centred analytics of feedback content in higher education

Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic, Guanliang Chen

[C4] Exploring the politeness of instructional strategies from human-human online tutoring dialogues

Jionghao Lin, Mladen Rakovic, David Lang, Dragan Gasevic, Guanliang Chen

[C3] Data as delight: Eating data

Florian 'Floyd'Mueller, Tim Dwyer, Sarah Goodwin, Kim Marriott, Jialin Deng, Han D. Phan, Jionghao Lin, Kun-Ting Chen, Yan Wang, Rohit Ashok Khot

[C2] Investigating the role of politeness in human-human online tutoring

Jionghao Lin, David Lang, Haoran Xie, Dragan Gašević, Guanliang Chen

[C1] An explainable deep fusion network for affect recognition using physiological signals

Jionghao Lin, Shirui Pan, Cheng Siong Lee, Sharon Oviatt

[W8] 3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems

Liang Zhang, Jionghao Lin♠, Conrad Borchers, Meng Cao, Xiangen Hu

[W7] Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation

Zifei (Feifei) Han, Jionghao Lin, Ashish Gurung, Danielle R Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R Koedinger

[W6] Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors

Sanjit Kakarla, Danielle Thomas, Jionghao Lin, Shivang Gupta, Kenneth R Koedinger

[W5] Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning

Chen Cao, Zijian Ding, Gyeong-Geon Lee, Jiajun Jiao, Jionghao Lin, Xiaoming Zhai

[W4] AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education

Cassie Chen Cao, Zijian Ding, Jionghao Lin, Frank Hopfgartner

[W3] Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues

Dollaya Hirunyasiri, Danielle R Thomas, Jionghao Lin, Kenneth R Koedinger, Vincent Aleven

[W2] Using Large Language Models to Provide Explanatory Feedback to Human Tutors

Jionghao Lin, Danielle R Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R Koedinger

[W1] Establishing Trustworthy Artificial Intelligence in Automated Feedback

Jionghao Lin, Lele Sha, Yuheng Li, Dragan Gasevic, Guanliang Chen