Publications

Ruiwei Xiao, Shan Zhang, Xinying Hou, Ying-Jui Tseng, Qianou Ma, Yash Tadimalla, Qing Xiao, Jionghao Lin, Bo Jiang, John Stamper, and Kenneth R. Koedinger. AI Literacy For All: 2nd International Workshop on AI Literacy Education For All. AIED'26 International Conference on Artificial Intelligence in Education, 44-50, 2026.

Yujing Zhang, Xianghui Meng, and Jionghao Lin*. Augmenting Knowledge Tracing With Self-Regulated Learning Indicators for Reliable Skill-Mastery Estimation. L@S'26 Proceedings of the Thirteenth ACM Conference on Learning@ Scale, 373-384, 2026.

Xianghui Meng, Yujing Zhang, and Jionghao Lin*. AutoKT: Using LLMs to Estimate Item Difficulty for Knowledge Tracing. AIED'26 International Conference on Artificial Intelligence in Education …, 2026.

Yujing Zhang and Jionghao Lin*. Building Regulation Capacity in Human-AI Collaborative Learning: A Human-Centred GenAI System. AIED'26 (DC) International Conference on Artificial Intelligence in Education, 2026.

Eason Chen, Sophia Judicke, Kayla Beigh, Xinyi Tang, Isabel Wang, Nina Yuan, Zimo Xiao, Chuangji Li, Shizhuo Li, Reed Luttmer, Shreya Singh, Maria Yampolsky, Naman Parikh, Yvonne Zhao, Meiyi Chen, Scarlett Huang, Anishka Mohanty, Gregory Johnson, John Mackey, Jionghao Lin, and Ken Koedinger. Chat-Based Support Alone May Not Be Enough: Comparing Conversational and Embedded LLM Feedback for Mathematical Proof Learning. AIED'26 International Conference on Artificial Intelligence in Education, 2026.

Jueqing Lu, Yuanyuan Qi, Xiaohao Yang, Shuaicheng Niu, Fucai Ke, Shujie Zhou, Wei Tan, Jionghao Lin, Wray Buntine, Hamid Rezatofighi, and Lan Du. DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities. CVPR'26 The IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2026.

Xianghui Meng, Yujing Zhang, Xian Chen, and Jionghao Lin. Evaluating Private Training in Educational Prediction Beyond Utility and Privacy Audit. Publication, 2026.

Xianghui Meng, Yujing Zhang, and Jionghao Lin*. Fairness Audits for Learning at Scale: A Two-Stage Audit of Threshold Fairness and Capacity-Limited Support Allocation. L@S'26 Proceedings of the Thirteenth ACM Conference on Learning@ Scale, 477-481, 2026.

Chun Ki Chuang, Wei Dai, Tongguang Li, Jionghao Lin, Xinyu Li, Yizhou Fan, and Dragan Gašević. From Feedback to Regulation: Comparing Generative AI and Human Feedback in Supporting Self-regulated Learning. AIED'26 International Conference on Artificial Intelligence in Education …, 2026.

Yujing Zhang, Xianghui Meng, Shihui Feng, and Jionghao Lin*. Human-AI Collaboration Reconfigures Group Regulation from Socially Shared to Hybrid Co-Regulation. AIED'26 International Conference on Artificial Intelligence in Education, 2026.

Chentianye Xu, Jionghao Lin*, Yujing Zhang, Tongshuang Wu, Vincent Aleven, and Kenneth R Koedinger. Improving automated feedback systems for tutor training in low-resource scenarios through data augmentation. IEEE Transactions on Learning Technologies, 2026.

Conrad Borchers, Danielle R Thomas, Jionghao Lin, and Kenneth R Koedinger. Learning-Aware Reliability Estimation for Tutor Skill Assessment Using Large Language Models. Journal of Learning Analytics, 1-20, 2026.

Chloe Qianhui Zhao, Jie Cao, Jionghao Lin*, and Kenneth R Koedinger. LLM-based Multimodal Feedback Produces Equivalent Learning and Better Student Perceptions than Educator Feedback. ACM LAK'26 Proceedings of the 16th International Learning Analytics and …, 2026.

Zhihan Guo, Rundong Xue, Yuting Lu, and Jionghao Lin*. MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers. AIED'26 International Conference on Artificial Intelligence in Education, 2026.

Youjie Chen, Xixi Shi, Xinyu Liu, Shuaiguo Wang, Tracy Xiao Liu, and Dragan Gašević. Not All Students Engage Alike: Multi-Institution Patterns in GenAI Tutor Use. Proceedings of the Thirteenth ACM Conference on Learning@ Scale, 57-68, 2026.

Eason Chen, Xinyi Tang, Yvonne Zhao, Meiyi Chen, Meryam Elmir, Elizabeth McLaughlin, Mingyu Yuan, Yumo Wang, Shyam Agarwal, Jared Cochrane, Jionghao Lin, Tongshuang Wu, and Ken Koedinger. Practice Less, Explain More: LLM-Supported Self-Explanation Improves Explanation Quality on Transfer Problems in Calculus. AIED'26 International Conference on Artificial Intelligence in Education, 2026.

Xianghui Meng and Jionghao Lin*. RAP-VIoT: Resource-adaptive and scalable vision with IoT guidance and traceability. Pattern Recognition, 114530, 2026.

Jiajia Song, Zhihan Guo, and Jionghao Lin*. Simulating Novice Students Using Machine Unlearning and Relearning in Large Language Models. AIED'26 International Conference on Artificial Intelligence in Education, 2026.

Zhihan Guo and Jionghao Lin*. Teach to Learn AI Literacy: A Teachable Agent with Evaluator-Guided Scaffolding and Analytics. AIED'26 (DC) International Conference on Artificial Intelligence in …, 2026.

Jie Cao, Chloe Qianhui Zhao, Christian Schunn, Elizabeth A McLaughlin, Jionghao Lin*, and Kenneth R Koedinger. To Layer or Not to Layer? Evaluating the Effects and Mechanisms of LLM-Generated Feedback on learning performance. arXiv preprint arXiv:2604.07469, 2026.

Xianghui Meng and Jionghao Lin*. When a Large Language Model-Driven Tutoring System Makes Mistakes: Why Saying “I Was Wrong” Matters Most. AIED'26 International Conference on Artificial Intelligence in Education, 18-23, 2026.

Eason Chen, Jeffrey Li, Scarlett Huang, Xinyi Tang, Jionghao Lin, Paulo Carvalho, and Kenneth Koedinger. AI Knows Best? The Paradox of Expertise, AI-Reliance, and Performance in Educational Tutoring Decision-Making Tasks. arXiv preprint arXiv:2509.16772, 2025.

Conrad Borchers, Danielle R Thomas, Jionghao Lin, Ralph Abboud, and Kenneth R Koedinger. Augmenting Human-Annotated Training Data with Large Language Model Generation and Distillation in Open-Response Assessment. LAK25 Workshop - Generative AI and Learning Analytics (GenAI-LA): Evidence …, 2025.

Jingyang Peng, Wenyuan Shen, Jiarui Rao, and Jionghao Lin*. Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework. AIED'25 International Conference on Artificial Intelligence in Education …, 2025.

Jionghao Lin*, Jiarui Rao, Sandy Yiyang Zhao, Yuting Wang, Ashish Gurung, Amanda Barany, Jaclyn Ocumpaugh, Ryan S Baker, and Kenneth R Koedinger. Automatic Large Language Models Creation of Interactive Learning Lessons. EC-TEL'25 European Conference on Technology Enhanced Learning, 259-274, 2025.