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ORCID27th AIED 2026: Seoul, South Korea - Part I
- Emmanuel G. Blanchard, Guanliang Chen
, Min Chi, Seiji Isotani:
Artificial Intelligence in Education - 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part I. Lecture Notes in Computer Science 16581, Springer 2027, ISBN 978-3-032-29743-3 - Clayton Cohn, Siyuan Guo, Surya Rayala, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Angela Eeds, Menton M. Deweese, Pamela Osborn Popp, Rebekah Stanton, Shakeera Walker, Meiyi Ma, Gautam Biswas:
Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding for LLM Agents. 1-16 - Arijit Chakma, Peng He, Zeyuan Wang, Honglu Liu, Tingting Li, Tiffany D. Do, Feng Liu:
DrawSim-PD: Simulating Student Science Drawings to Support NGSS-Aligned Teacher Diagnostic Reasoning. 17-32 - Jeevan Chapagain, Vasile Rus:
Enhancing Intelligent Tutoring Systems with Instruction-Tuned LLMs: Automated Assessment of Student Code Comprehension. 33-47 - Ziv Fenigstein, Kobi Gal, Avi Segal, Osama Swidan, Inbal Israel, Hassan Ayoob, Otman Jaber:
Automatically Inferring Teachers' Geometric Content Knowledge: A Skills Based Approach. 48-62 - Jocelyn Beauchesne, Christine Maroti, Jeshua Bratman, Jerome Pesenti, Laurence Holt, Alex Tambellini, Allison McGrath, Matthew Guo, Sarah Peterson:
Personalized AI Practice Replicates Learning Rate Regularity at Scale. 63-77 - Xueyi Li, Tianqiao Liu, Jiaqi Zheng, Zitao Liu, Yongdong Wu, Weiqi Luo:
Benchmarking Scientific Formula Vocalization in Large Speech Language Models Toward Accessible Learning. 78-93 - Nizam Kadir:
From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring. 94-109 - Dingjie Song, Tianlong Xu, Yifan Zhang, Hang Li, Zhiling Yan, Xing Fan, Haoyang Li, Lichao Sun, Qingsong Wen:
Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math. 110-124 - Sungjin Nam:
Prompt Optimization with Verifiable Rewards for Synthetic Essay Generation. 125-139 - Liang Zhang, Jiangyiyang Zhu, Yan Ma:
Generating Personalized Programming Exercises via Cognitive State Graphs and ZPD-Driven Prompting. 140-155 - Eamon Worden, Morgan P. Lee, Abubakir Siedahmed, Adam Sales, Jiayi Zhang, Roee Shraga, Neil T. Heffernan:
Short, Long, or Affective: Evaluating LLM-Generated Feedback Styles for Student Learning. 156-170 - Mingyu Feng, Ethan Prihar, Natalie Brezack:
Developing and Evaluating a Large Language Model-Based Tool for Qualitative Analysis of Teacher Interviews. 171-186 - Muntasir Hoq, Griffin Pitts, Bradford W. Mott, Seung Y. Lee, Jessica Vandenberg, Shuyin Jiao, Narges Norouzi, James C. Lester, Bita Akram:
An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration. 187-201 - Md. Mirajul Islam, Rajesh Debnath, Adittya Soukarjya Saha, Min Chi:
Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards. 202-217 - Supakit Boonsongprasert, Sachin Pathak, Chris Song, Lujie Karen Chen:
Beyond Show and Tell: Explainable AI-Supported Feedback for Developing Data Visualization Sense-Making Skills. 218-232 - Fareya Ikram, Nischal Ashok Kumar, Junyang Lu, Hunter McNichols, Candace A. Walkington, Neil T. Heffernan, Andrew S. Lan:
A Multi-agent Approach to Validate and Refine LLM-Generated Personalized Math Problems. 233-247 - Junyuan Liang, Qi Zhou, Sahan Bulathwela, Mutlu Cukurova:
Gaze to Insight: A Scalable AI Approach for Detecting Gaze Behaviours in Face-To-Face Collaborative Learning. 248-262 - Xingming Li, Runke Huang, Yanan Bao, Yuye Jin, Yuru Jiao, Qingyong Hu:
When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschools. 263-278 - Khiem Hoang Truong, Duc-Tuan Luu, Duong Ngoc Hao, Dang Van Thin, Ngan Luu-Thuy Nguyen:
From Slides to Exams: A Multi-agent Human-AI System for Collaborative Assessment Design. 279-293 - Hang Li, Kaiqi Yang, Yucheng Chu, Ahreum Han, Rui Meng, Yasemin Copur-Gencturk, Hui Liu:
i-vip: A LLM-Driven Multi-agent System for Professional Development of Mathematics Teachers. 294-308 - Tatyana Bukina, Marina V. Khramova, Nikita Smirnov, Semen A. Kurkin, Alexander E. Hramov:
A Neuro-Symbolic Approach to Extracurricular Activity Recommendation Based on Cognitive Profiling. 309-324 - Tengju Li, Penghe Cheng, Jiong Wang, Ding Yu, Hao Wu, Yu Lu:
From Problem Solving to Pedagogical Feedback: Student-Centric Tree-of-Thought Reasoning for Student Error Attribution. 325-339 - Yuri Noviello, Anastasiia Birillo, Gosia Migut:
ANVIL: Analogies and Videos for Lecturers. 340-354 - Yoshimitsu Miyazawa, Maomi Ueno:
Process-Integrated IRT: Enhancing Ability Estimation in Computer-Based Programming Assessments Through Response Process Data. 355-369 - Xinyu Zhu, Fei Jiang, Xiaoqing Gu, Gong Wang:
New Intent Discovery for Educational Dialogue Texts via Semantic-Aware Data Augmentation. 370-384 - Robinson Ferrer, Damla Turgut, Zhongzhou Chen, Shashank Sonkar:
When Can We Trust LLM Graders? Calibrating Confidence for Automated Assessment. 385-399 - Fares Fawzi, Seyed Parsa Neshaei, Marta Knezevic, Tanya Nazaretsky, Tanja Käser:
REFINE: Real-World Exploration of Interactive Feedback and Student Behaviour. 400-415 - Xiaomeng Huang, Xavier Ochoa, Dani Hiterer:
The TME Framework: Multimodal Learner Modeling for Active Listening Skills in Collaborative Problem Solving. 416-430 - Masaki Uto, Ryota Kitakaze:
An Item Response Theory Model for Addressing Halo Effects in Performance Assessment. 431-446 - Naoki Shindo, Masaki Uto:
LLM-Based Virtual Standardized Patients with Response Excessiveness Suppression via Direct Preference Optimization for Medical Interview Examinations. 447-462 - Phurinat Polasa, Narabodee Rodjananant, Thanapon Thanadunpremdet, Settapun Laoaree, Chonlana Kruawuthikun, Nattapol Kritsuthikul:
PSC: Personalized Sentence-Level Pronunciation Coaching Framework for Thai EFL Learners. 463-477 - Jingyi Zhao, Rhodri B. Nelson, Deborah Pelacani Cruz, Matthew D. Piggot:
Building Evidence-Linked Curriculum Knowledge Graphs for Academic Pathway Planning. 478-492 - Naiming Liu, Xinghe Chen, Richard G. Baraniuk, Mrinmaya Sachan, Shashank Sonkar:
Misconception Acquisition Dynamics in Large Language Models. 493-508 - Youheng Bai, Shen Han, Gangyi Tan, Jiahao Chen, Zitao Liu, Weiqi Luo:
Beyond Next-Response Prediction: Evaluating Knowledge State Transition Consistency in Deep Learning Based Knowledge Tracing Models. 509-523 - Chenyu Hou, Hua Yu, Gaoxia Zhu, John Derek Anas, Jiao Liu, Yew Soon Ong:
Grounding Programming Chatbot in Computational Thinking: Design and Evaluation of MazeMate. 524-538 - Zhaohui Li, Peng He, Zhiyuan Chen, Honglu Liu, Zeyuan Wang, Tingting Li, Jinjun Xiong:
SciEval: A Benchmark for Automatic Evaluation of K-12 Science Instructional Materials. 539-554 - Masaki Uto:
Has Automated Essay Scoring Reached Sufficient Accuracy? Deriving Achievable QWK Ceilings from Classical Test Theory. 555-570 - Lin Li, Mohammad Amin Samadi, Jingyun Wu, Linxuan Zhao, Nia Nixon, Jamaal Matthews:
Automated Multimodal Transcription for Belonging-Centered Classroom Interaction Analysis: Opportunities and Challenges. 571-585 - Likai Peng, Shihui Feng:
Single-Agent vs. Multi-agents for Automated Video Analysis of On-Screen Collaborative Learning Behaviors. 586-600 - Yuang Wei, Ruijia Li, Bo Jiang:
SLOW: Strategic Logical-Inference Open Workspace for Cognitive Adaptation in AI Tutoring. 601-615 - Luyên Ngoc Lê, Marie-Hélène Abel, Bertrand Laforge:
From Learning Resources to Competencies: LLM-Based Tagging with Evidence and Graph Constraints. 616-631 - Jiajia Song, Zhihan Guo, Jionghao Lin:
Simulating Novice Students Using Machine Unlearning and Relearning in Large Language Models. 632-646
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