Jionghao Lin

According to our database, Jionghao Lin authored at least 42 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Roberto Martínez Maldonado

Br. J. Educ. Technol., July, 2024

On the role of politeness in online human-human tutoring.

Jionghao Lin, Mladen Rakovic, Yuheng Li, Haoran Xie, David Lang, Dragan Gasevic, Guanliang Chen

Br. J. Educ. Technol., January, 2024

Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness.

Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen

IEEE Trans. Learn. Technol., 2024

Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI.

Liang Zhang, Jionghao Lin, John Sabatini, Conrad Borchers, Daniel Weitekamp, Meng Cao, John Hollander, Xiangen Hu, Arthur C. Graesser

CoRR, 2024

Generative Adversarial Networks for Imputing Sparse Learning Performance.

Liang Zhang, Mohammed Yeasin, Jionghao Lin, Felix Havugimana, Xiangen Hu

CoRR, 2024

RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations.

Jiarui Rao, Jionghao Lin

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

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

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

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

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

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

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

HAROR: A System for Highlighting and Rephrasing Open-Ended Responses.

Jionghao Lin, Kenneth R. Koedinger

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

MuFIN: A Framework for Automating Multimodal Feedback Generation using Generative Artificial Intelligence.

Jionghao Lin, Eason Chen, Ashish Gurung, Kenneth R. Koedinger

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation.

Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 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

Proceedings of the Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), 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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

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

Proceedings of the Adaptive Instructional Systems, 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

Proceedings of the 17th International Conference on Educational Data Mining, 2024

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

Proceedings of the 17th International Conference on Educational Data Mining, 2024

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., June, 2023

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

Educ. Inf. Technol., February, 2023

Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning.

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

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

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

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

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

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 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

Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 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

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification.

Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets.

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

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 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

Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023

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

Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023

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

Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues.

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

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

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

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, Rohit Ashok Khot

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

An Accurate and Explainable Multimodal Deep Fusion Network for Affect Recognition.

Jionghao Lin

PhD thesis, 2020

Investigating the Role of Politeness in Human-Human Online Tutoring.

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

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Dynamic Adaptive Gesturing Predicts Domain Expertise in Mathematics.

Abishek Sriramulu, Jionghao Lin, Sharon L. Oviatt

Proceedings of the International Conference on Multimodal Interaction, 2019

An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals.

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

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

A Neural Network Based Explainable Recommender System.

Jionghao Lin, Yiren Liu

CoRR, 2018