Jionghao Lin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
10
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AIED | Chat-Based Support Alone May Not Be Enough: Comparing Conversational and Embedded LLM Feedback for Mathematical Proof Learning. | Eason Chen, Sophia Judicke, Kayla Beigh, Xinyi Tang, Yumo Wang, Mingyu Yuan, Zimo Xiao, Chuangji Li, Shizhuo Li, Reed Luttmer, Shreya Singh, Maria Yampolsky, Naman Parikh, Yvonne Zhao, Meiyi Chen, Cheng Huang, Anishka Mohanty, Gregory Johnson, John Mackey, Jionghao Lin, Ken Koedinger |
| 2026 | AIED | Practice Less, Explain More: LLM-Supported Self-Explanation Improves Explanation Quality on Transfer Problems in Calculus. | Eason Chen, Xinyi Tang, Yvonne Zhao, Meiyi Chen, Meryam Elmir, Elizabeth A. McLaughlin, Mingyu Yuan, Yumo Wang, Shyam Agarwal, Jared Cochrane, Jionghao Lin, Tongshuang Wu, Ken Koedinger |
| 2026 | AIED | From Feedback to Regulation: Comparing Generative AI and Human Feedback in Supporting Self-regulated Learning. | Chun Ki Chuang, Wei Dai, Tongguang Li, Jionghao Lin, Xinyu Li, Yizhou Fan, Dragan Gasevic |
| 2026 | AIED | MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers. | Zhihan Guo, Rundong Xue, Yuting Lu, Jionghao Lin |
| 2026 | AIED | Simulating Novice Students Using Machine Unlearning and Relearning in Large Language Models. | Jiajia Song, Zhihan Guo, Jionghao Lin |
| 2026 | AIED | Human-AI Collaboration Reconfigures Group Regulation from Socially Shared to Hybrid Co-regulation. | Yujing Zhang, Xianghui Meng, Shihui Feng, Jionghao Lin |
| 2026 | LAK | AI Knows Best? The Paradox of Expertise, AI-Reliance, and Performance in Educational Tutoring Decision-Making Tasks. | Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo Carvalho, Kenneth R. Koedinger |
| 2026 | LAK | LLM-based Multimodal Feedback Produces Equivalent Learning and Better Student Perceptions than Educator Feedback. | Chloe Qianhui Zhao, Jie Cao, Jionghao Lin, Kenneth R. Koedinger |
| 2025 | AIED | Avalon: A Human-in-the-Loop LLM Grading System with Instructor Calibration and Student Self-assessment. | Derek Armfield, Eason Chen, Asilbek Omonkulov, Xinyi Tang, Jionghao Lin, Erik Thiessen, Kenneth R. Koedinger |
| 2025 | AIED | 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 |
| 2025 | AIED | Identifying Effective Praise in Tutoring: Large Language Models with Transparent Explanations. | Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo Carvalho, Kenneth R. Koedinger |
| 2025 | AIED | 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 |
| 2025 | AIED | 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 |
| 2025 | AIED | Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework. | Jingyang Peng, Wenyuan Shen, Jiarui Rao, Jionghao Lin |
| 2025 | AIED | 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 |
| 2025 | AIED | 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 |
| 2025 | EDM | Starting Seatwork Earlier as a Valid Measure of Student Engagement. | Ashish Gurung, Jionghao Lin, Zhongtian Huang, Conrad Borchers, Ryan Baker, Vincent Aleven, Kenneth R. Koedinger |
| 2025 | LAK | 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 |
| 2025 | LAK | 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 |
| 2025 | LAK | 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 |
| 2025 | LAK | 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 |
| 2024 | EDM | 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 |
| 2024 | EDM | 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 |
| 2024 | EDM | RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations. | Jiarui Rao, Jionghao Lin |
| 2024 | EDM | SPL: A Socratic Playground for Learning Powered by Large Language Model. | Liang Zhang, Jionghao Lin, Ziyi Kuang, Sheng Xu, Xiangen Hu |
| 2024 | HCI | 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 |
| 2024 | ICCE | 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 |
| 2024 | ICPR | Generative Adversarial Networks for Imputing Sparse Learning Performance. | Liang Zhang, Mohammed Yeasin, Jionghao Lin, Felix Havugimana, Xiangen Hu |
| 2024 | LAK | 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 |
| 2024 | LAK | 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 |
| 2023 | AIED | 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 |
| 2023 | AIED | 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 |
| 2023 | AIED | 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 |
| 2023 | AIED | 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 |
| 2023 | ICALT | 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 |
| 2023 | LAK | 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 |
| 2022 | LAK | Exploring the Politeness of Instructional Strategies from Human-Human Online Tutoring Dialogues. | Jionghao Lin, Mladen Rakovic, David Lang, Dragan Gasevic, Guanliang Chen |
| 2021 | CHI | 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 |
| 2020 | AIED | Investigating the Role of Politeness in Human-Human Online Tutoring. | Jionghao Lin, David Lang, Haoran Xie, Dragan Gasevic, Guanliang Chen |
| 2019 | CIKM | An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals. | Jionghao Lin, Shirui Pan, Cheng Siong Lee, Sharon L. Oviatt |
| 2019 | ICMI | Dynamic Adaptive Gesturing Predicts Domain Expertise in Mathematics. | Abishek Sriramulu, Jionghao Lin, Sharon L. Oviatt |