A Neural Network Based Explainable Recommender System. - Jionghao Lin; Yiren Liu (CoRR, 2018)

An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals. - Jionghao Lin; Shirui Pan; Cheng Siong Lee; Sharon L. Oviatt (CIKM, 2019)

Dynamic Adaptive Gesturing Predicts Domain Expertise in Mathematics. - Abishek Sriramulu; Jionghao Lin; Sharon L. Oviatt (ICMI, 2019)

Investigating the Role of Politeness in Human-Human Online Tutoring. - Jionghao Lin; David Lang; Haoran Xie 001; Dragan Gasevic; Guanliang Chen (AIED (2), 2020)

An Accurate and Explainable Multimodal Deep Fusion Network for Affect Recognition. - Jionghao Lin (2020)

Data as Delight: Eating data. - Florian 'Floyd' Mueller; Tim Dwyer; Sarah Goodwin; Kim Marriott; Jialin Deng; Han Duy Phan; Jionghao Lin; Kun-Ting Chen; Yan Wang 057; Rohit Ashok Khot (CHI, 2021)

I Know What You Know: What Hand Movements Reveal about Domain Expertise. - Sharon L. Oviatt; Jionghao Lin; Abishek Sriramulu (ACM Trans. Interact. Intell. Syst., 2021)

Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. - Jionghao Lin; Mladen Rakovic; David Lang; Dragan Gasevic; Guanliang Chen (LAK, 2022)

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 Gasevic; Guanliang Chen (Future Gener. Comput. Syst., 2022)

Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students. - Dollaya Hirunyasiri; Danielle R. Thomas; Jionghao Lin; Kenneth R. Koedinger; Vincent Aleven (Human-AI Math Tutoring@AIED, 2023)

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 (Human-AI Math Tutoring@AIED, 2023)

Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. - Jionghao Lin; Wei Tan; Ngoc Dang Nguyen; David Lang; Lan Du 002; Wray L. Buntine; Richard Beare; Guanliang Chen; Dragan Gasevic (AIED, 2023)

Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. - Wei Tan; Jionghao Lin; David Lang; Guanliang Chen; Dragan Gasevic; Lan Du 002; Wray L. Buntine (AIED, 2023)

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 Gasevic; Guanliang Chen (ICALT, 2023)

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 Gasevic (ICQE, 2023)

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 (LAK, 2023)

Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education. - Yuheng Li; Mladen Rakovic; Wei Dai; Jionghao Lin; Hassan Khosravi; Kirsten Galbraith; Kayley M. Lyons; Dragan Gasevic; Guanliang Chen (Comput. Educ. Artif. Intell., 2023)

Can large language models write reflectively. - Yuheng Li; Lele Sha; Lixiang Yan; Jionghao Lin; Mladen Rakovic; Kirsten Galbraith; Kayley M. Lyons; Dragan Gasevic; Guanliang Chen (Comput. Educ. Artif. Intell., 2023)

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 (CoRR, 2023)

AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education. - Cassie Chen Cao; Zijian Ding; Jionghao Lin; Frank Hopfgartner (CoRR, 2023)

Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning. - Chen Cao 005; Zijian Ding; Gyeong-Geon Lee; Jiajun Jiao; Jionghao Lin; Xiaoming Zhai (CoRR, 2023)

Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences. - Xieling Chen; Di Zou; Haoran Xie 001; Guanliang Chen; Jionghao Lin; Gary Cheng 001 (Educ. Inf. Technol., 2023)

Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts. - Lele Sha; Mladen Rakovic; Jionghao Lin; Quanlong Guan; Alexander Whitelock-Wainwright; Dragan Gasevic; Guanliang Chen (IEEE Trans. Learn. Technol., 2023)

Combining Dialog Acts and Skill Modeling: What Chat Interactions Enhance Learning Rates During AI-Supported Peer Tutoring? - Conrad Borchers; Kexin Yang; Jionghao Lin; Nikol Rummel; Kenneth R. Koedinger; Vincent Aleven (EDM, 2024)

How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. - Jionghao Lin; Eason Chen; Zifei FeiFei Han; Ashish Gurung; Danielle R. Thomas; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger (EDM, 2024)

RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations. - Jiarui Rao; Jionghao Lin (HEXED/L3MNGET@EDM, 2024)

SPL: A Socratic Playground for Learning Powered by Large Language Model. - Liang Zhang; Jionghao Lin; Ziyi Kuang; Sheng Xu; Xiangen Hu (HEXED/L3MNGET@EDM, 2024)

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. - Liang Zhang; Jionghao Lin; Conrad Borchers; John Sabatini 001; John Hollander; Meng Cao; Xiangen Hu (HCI (44), 2024)

LLM-Generated Personalized Analogies to Foster AI Literacy in Adult Novices. - Cassie Chen Cao; Eason Chen; Zoe Fang; Lydia Y. Cao; Jionghao Lin; Ruizhe Li 001 (ICCE, 2024)

Generative Adversarial Networks for Imputing Sparse Learning Performance. - Liang Zhang; Mohammed Yeasin; Jionghao Lin; Felix Havugimana; Xiangen Hu (ICPR (6), 2024)

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 G. Branstetter; Emma Brunskill; Kenneth R. Koedinger (LAK, 2024)

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 (LAK Workshops, 2024)

GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. - Eason Chen; Jia-En Lee; Jionghao Lin; Kenneth R. Koedinger (L@S, 2024)

MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence. - Jionghao Lin; Eason Chen; Ashish Gurung; Kenneth R. Koedinger (L@S, 2024)

HAROR: A System for Highlighting and Rephrasing Open-Ended Responses. - Jionghao Lin; Kenneth R. Koedinger (L@S, 2024)

Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. - Danielle R. Thomas; Jionghao Lin; Shambhavi Bhushan; Ralph Abboud; Erin Gatz; Shivang Gupta; Kenneth R. Koedinger (L@S, 2024)

Assessing the proficiency of large language models in automatic feedback generation: An evaluation study. - Wei Dai; Yi-Shan Tsai; Jionghao Lin; Ahmad Ari Aldino; Hua Jin; Tongguang Li; Dragan Gasevic; Guanliang Chen (Comput. Educ. Artif. Intell., 2024)

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 (CoRR, 2024)

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 (CoRR, 2024)

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 (CoRR, 2024)

How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. - Jionghao Lin; Zifei FeiFei Han; Danielle R. Thomas; Ashish Gurung; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger (CoRR, 2024)

SPL: A Socratic Playground for Learning Powered by Large Language Model. - Liang Zhang; Jionghao Lin; Ziyi Kuang; Sheng Xu; Mohammed Yeasin; Xiangen Hu (CoRR, 2024)

A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education. - Eason Chen; Danyang Wang; Luyi Xu; Chen Cao; Xiao Fang; Jionghao Lin (CoRR, 2024)

Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. - Jionghao Lin; Wei Tan; Lan Du 002; Wray L. Buntine; David Lang; Dragan Gasevic; Guanliang Chen (IEEE Trans. Learn. Technol., 2024)

On the role of politeness in online human-human tutoring. - Jionghao Lin; Mladen Rakovic; Yuheng Li; Haoran Xie 001; David Lang; Dragan Gasevic; Guanliang Chen (Br. J. Educ. Technol., 2024)

Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics. - Linxuan Zhao; Dragan Gasevic; Zachari Swiecki; Yuheng Li; Jionghao Lin; Lele Sha; Lixiang Yan; Riordan Alfredo; Xinyu Li 004; Roberto Martínez Maldonado (Br. J. Educ. Technol., 2024)

From First Draft to Final Insight: A Multi-agent Approach for Feedback Generation. - Jie Cao; Chloe Qianhui Zhao; Xian Chen; Shuman Wang; Christian Schunn; Kenneth R. Koedinger; Jionghao Lin (AIED (2), 2025)

Identifying Effective Praise in Tutoring: Large Language Models with Transparent Explanations. - Eason Chen; Jeffrey Li; Scarlett Huang; Xinyi Tang; Jionghao Lin; Paulo Carvalho 004; Kenneth R. Koedinger (AIED (6), 2025)

Human Tutoring Improves the Impact of AI Tutor Use on Learning Outcomes. - Ashish Gurung; Jionghao Lin; Jordan Gutterman; Danielle R. Thomas; Alex Houk; Shivang Gupta; Emma Brunskill; Lee G. Branstetter; Vincent Aleven; Kenneth R. Koedinger (AIED (4), 2025)

SlideItRight: Using AI to Find Relevant Slides and Provide Feedback for Open-Ended Questions. - Chloe Qianhui Zhao; Jie Cao; Eason Chen; Kenneth R. Koedinger; Jionghao Lin (AIED (4), 2025)

Automatic Large Language Models Creation of Interactive Learning Lessons. - Jionghao Lin; Jiarui Rao; Sandy Yiyang Zhao; Yuting Wang; Ashish Gurung; Amanda Barany; Jaclyn Ocumpaugh; Ryan S. Baker 001; Kenneth R. Koedinger (EC-TE (1), 2025)

Leveraging LLMs to Assess Tutor Moves in Real-Life Dialogues: A Feasibility Study. - Danielle R. Thomas; Conrad Borchers; Jionghao Lin; Sanjit Kakarla; Shambhavi Bhushan; Erin Gatz; Shivang Gupta; Ralph Abboud; Kenneth R. Koedinger (EC-TEL (2), 2025)

Starting Seatwork Earlier as a Valid Measure of Student Engagement. - Ashish Gurung; Jionghao Lin; Zhongtian Huang; Conrad Borchers; Ryan Baker 001; Vincent Aleven; Kenneth R. Koedinger (EDM, 2025)

Toward Automated Qualitative Analysis: Leveraging Large Language Models for Tutoring Dialogue Evaluation. - Megan Gu; Chloe Qianhui Zhao; Claire Liu; Nikhil Patel; Jahnvi Shah; Jionghao Lin; Kenneth R. Koedinger (LAK Workshops, 2025)

Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT. - Danielle R. Thomas; Conrad Borchers; Sanjit Kakarla; Jionghao Lin; Shambhavi Bhushan; Boyuan Guo; Erin Gatz; Kenneth R. Koedinger (LAK, 2025)

Do Tutors Learn from Equity Training and Can Generative AI Assess It? - Danielle R. Thomas; Conrad Borchers; Sanjit Kakarla; Jionghao Lin; Shambhavi Bhushan; Boyuan Guo; Erin Gatz; Kenneth R. Koedinger (LAK, 2025)

Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support. - Devika Venugopalan; Ziwen Yan; Conrad Borchers; Jionghao Lin; Vincent Aleven (LAK, 2025)

Integrative modeling enables ChatGPT to achieve average level of human counselors performance in mental health Q&A. - Yinghui Huang; Weijun Wang; Jinyi Zhou; Liang Zhang; Jionghao Lin; Hui Liu; Xiangen Hu; Zongkui Zhou; Wanghao Dong (Inf. Process. Manag., 2025)

Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI. - Liang Zhang; Jionghao Lin; John Sabatini 001; Conrad Borchers; Daniel Weitekamp III; Meng Cao; John Hollander; Xiangen Hu; Arthur C. Graesser (IEEE Trans. Learn. Technol., 2025)

Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment. - Conrad Borchers; Danielle R. Thomas; Jionghao Lin; Ralph Abboud; Kenneth R. Koedinger (CoRR, 2025)

Enhancing the De-identification of Personally Identifiable Information in Educational Data. - Yuntian Shen; Zilyu Ji; Jionghao Lin; Kenneth R. Koedginer (CoRR, 2025)

Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios through Data Augmentation. - Chentianye Xu; Jionghao Lin; Tongshuang Wu; Vincent Aleven; Kenneth R. Koedinger (CoRR, 2025)

VTutor: An Open-Source SDK for Generative AI-Powered Animated Pedagogical Agents with Multi-Media Output. - Eason Chen; Chenyu Lin; Xinyi Tang; Aprille J. Xi; Canwen Wang; Jionghao Lin; Kenneth R. Koedinger (CoRR, 2025)

Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks. - Liang Zhang; Jionghao Lin; John Sabatini 001; Diego Zapata-Rivera; Carol Forsyth; Yang Jiang; John Hollander; Xiangen Hu; Arthur C. Graesser (CoRR, 2025)

VTutor: An Animated Pedagogical Agent SDK that Provide Real Time Multi-Model Feedback. - Eason Chen; Chenyu Lin; Yu-Kai Huang; Xinyi Tang; Aprille J. Xi; Jionghao Lin; Kenneth R. Koedinger (CoRR, 2025)

VTutor for High-Impact Tutoring at Scale: Managing Engagement and Real-Time Multi-Screen Monitoring with P2P Connections. - Eason Chen; Xinyi Tang; Aprille J. Xi; Chenyu Lin; Conrad Borchers; Shivang Gupta; Jionghao Lin; Kenneth R. Koedinger (CoRR, 2025)

Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework. - Jingyang Peng; Wenyuan Shen; Jiarui Rao; Jionghao Lin (CoRR, 2025)

How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. - Jionghao Lin; Zifei Han; Danielle R. Thomas; Ashish Gurung; Shivang Gupta; Vincent Aleven; Kenneth R. Koedinger (Int. J. Artif. Intell. Educ., 2025)

Automatic Large Language Models Creation of Interactive Learning Lessons. - Jionghao Lin; Jiarui Rao; Yiyang Zhao; Yuting Wang; Ashish Gurung; Amanda Barany; Jaclyn Ocumpaugh; Ryan S. Baker 001; Kenneth R. Koedinger (CoRR, 2025)

Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving. - Liang Zhang; Xiaoming Zhai; Jionghao Lin; Jennifer Kleiman; Diego Zapata-Rivera; Carol Forsyth; Yang Jiang; Xiangen Hu; Arthur C. Graesser (CoRR, 2025)