Jionghao Lin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 45

Top Topics

Imbalanced Datasets

Pedagogical Agents

Intelligent Tutoring Systems

Top Venues

Publications

Liang Zhang, Jionghao Lin, Conrad Borchers, Meng Cao, Xiangen Hu
3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems. LAK Workshops (2024)
Jiarui Rao, Jionghao Lin
RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations. CoRR (2024)
Jionghao Lin, Eason Chen, Zeifei Han, Ashish Gurung, Danielle R. Thomas, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger
How Can I Improve? Using GPT to Highlight the Desired and Undesired Parts of Open-ended Responses. CoRR (2024)
Linxuan Zhao, Dragan Gasevic, Zachari Swiecki, Yuheng Li, Jionghao Lin, Lele Sha, Lixiang Yan, Riordan Alfredo, Xinyu Li, Roberto Martínez-Maldonado
Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics. Br. J. Educ. Technol. 55 (4) (2024)
Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. L@S (2024)
Jionghao Lin, Eason Chen, Ashish Gurung, Kenneth R. Koedinger
MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence. L@S (2024)
Liang Zhang, Jionghao Lin, Ziyi Kuang, Sheng Xu, Mohammed Yeasin, Xiangen Hu
SPL: A Socratic Playground for Learning Powered by Large Language Model. CoRR (2024)
Liang Zhang, Mohammed Yeasin, Jionghao Lin, Felix Havugimana, Xiangen Hu
Generative Adversarial Networks for Imputing Sparse Learning Performance. CoRR (2024)
Jionghao Lin, Zifei FeiFei Han, Danielle R. Thomas, Ashish Gurung, Shivang Gupta, Vincent Aleven, Kenneth R. Koedinger
How Can I Get It Right? Using GPT to Rephrase Incorrect Trainee Responses. CoRR (2024)
Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen
Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. IEEE Trans. Learn. Technol. 17 (2024)
Jionghao Lin, Mladen Rakovic, Yuheng Li, Haoran Xie, David Lang, Dragan Gasevic, Guanliang Chen
On the role of politeness in online human-human tutoring. Br. J. Educ. Technol. 55 (1) (2024)
Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation. CoRR (2024)
Liang Zhang, Jionghao Lin, Conrad Borchers, Meng Cao, Xiangen Hu
3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems. CoRR (2024)
Liang Zhang, Jionghao Lin, Conrad Borchers, John Sabatini, John Hollander, Meng Cao, Xiangen Hu
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. HCI (44) (2024)
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
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. LAK (2024)
Jionghao Lin, Kenneth R. Koedinger
HAROR: A System for Highlighting and Rephrasing Open-Ended Responses. L@S (2024)
Zifei FeiFei Han, Jionghao Lin, Ashish Gurung, Danielle R. Thomas, Eason Chen, Conrad Borchers, Shivang Gupta, Kenneth R. Koedinger
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation. CoRR (2024)
Danielle R. Thomas, Jionghao Lin, Shambhavi Bhushan, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth R. Koedinger
Learning and AI Evaluation of Tutors Responding to Students Engaging in Negative Self-Talk. L@S (2024)
Sanjit Kakarla, Danielle Thomas, Jionghao Lin, Shivang Gupta, Kenneth R. Koedinger
Using Large Language Models to Assess Tutors' Performance in Reacting to Students Making Math Errors. CoRR (2024)
Liang Zhang, Jionghao Lin, Conrad Borchers, John Sabatini, John Hollander, Meng Cao, Xiangen Hu
Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. CoRR (2024)
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
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation. CoRR (2023)
Wei Dai, Jionghao Lin, Hua Jin, Tongguang Li, Yi-Shan Tsai, Dragan Gasevic, Guanliang Chen
Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT. ICALT (2023)
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. AIED (2023)
Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. Human-AI Math Tutoring@AIED (2023)
Lele Sha, Mladen Rakovic, Jionghao Lin, Quanlong Guan, Alexander Whitelock-Wainwright, Dragan Gasevic, Guanliang Chen
Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts. IEEE Trans. Learn. Technol. 16 (3) (2023)
Xieling Chen, Di Zou, Haoran Xie, Guanliang Chen, Jionghao Lin, Gary Cheng
Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences. Educ. Inf. Technol. 28 (2) (2023)
Yuheng Li, Lele Sha, Lixiang Yan, Jionghao Lin, Mladen Rakovic, Kirsten Galbraith, Kayley M. Lyons, Dragan Gasevic, Guanliang Chen
Can large language models write reflectively. Comput. Educ. Artif. Intell. 4 (2023)
Cassie Chen Cao, Zijian Ding, Gyeong-Geon Lee, Jiajun Jiao, Jionghao Lin, Xiaoming Zhai
Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning. CoRR (2023)
Tongguang Li, Jionghao Lin, Sehrish Iqbal, Zachari Swiecki, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic
Do Learners Appreciate Adaptivity? An Epistemic Network Analysis of How Learners Perceive Adaptive Scaffolding. ICQE (2023)
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. CoRR (2023)
Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. AIED (2023)
Jionghao Lin, Danielle R. Thomas, Feifei Han, Shivang Gupta, Wei Tan, Ngoc Dang Nguyen, Kenneth R. Koedinger
Using Large Language Models to Provide Explanatory Feedback to Human Tutors. CoRR (2023)
Cassie Chen Cao, Zijian Ding, Jionghao Lin, Frank Hopfgartner
AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education. CoRR (2023)
Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. CoRR (2023)
Jionghao Lin, Wei Dai, Lisa-Angelique Lim, Yi-Shan Tsai, Rafael Ferreira Mello, Hassan Khosravi, Dragan Gasevic, Guanliang Chen
Learner-centred Analytics of Feedback Content in Higher Education. LAK (2023)
Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven
Comparative Analysis of GPT-4 and Human Graders in Evaluating Human Tutors Giving Praise to Students. Human-AI Math Tutoring@AIED (2023)
Dollaya Hirunyasiri, Danielle R. Thomas, Jionghao Lin, Kenneth R. Koedinger, Vincent Aleven
Comparative Analysis of GPT-4 and Human Graders in Evaluating Praise Given to Students in Synthetic Dialogues. CoRR (2023)
Jionghao Lin, Shaveen Singh, Lele Sha, Wei Tan, David Lang, Dragan Gasevic, Guanliang Chen
Is it a good move? Mining effective tutoring strategies from human-human tutorial dialogues. Future Gener. Comput. Syst. 127 (2022)
Jionghao Lin, Mladen Rakovic, David Lang, Dragan Gasevic, Guanliang Chen
Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. LAK (2022)
Florian 'Floyd' Mueller, Tim Dwyer, Sarah Goodwin, Kim Marriott, Jialin Deng, Han Duy Phan, Jionghao Lin, Kun-Ting Chen, Yan Wang, Rohit Ashok Khot
Data as Delight: Eating data. CHI (2021)
Sharon L. Oviatt, Jionghao Lin, Abishek Sriramulu
I Know What You Know: What Hand Movements Reveal about Domain Expertise. ACM Trans. Interact. Intell. Syst. 11 (1) (2021)
Jionghao Lin, David Lang, Haoran Xie, Dragan Gasevic, Guanliang Chen
Investigating the Role of Politeness in Human-Human Online Tutoring. AIED (2) (2020)
Abishek Sriramulu, Jionghao Lin, Sharon L. Oviatt
Dynamic Adaptive Gesturing Predicts Domain Expertise in Mathematics. ICMI (2019)
Jionghao Lin, Shirui Pan, Cheng Siong Lee, Sharon L. Oviatt
An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals. CIKM (2019)
Jionghao Lin, Yiren Liu
A Neural Network Based Explainable Recommender System. CoRR (2018)