AIED Seoul 2026 emblem

AIED 2026

Seoul, Republic of Korea

Accepted Papers

Late Breaking Results

Accepted papers feature preliminary results and work in progress.

Accepted Papers

  1. TRACE-LLMS: A Theory-Driven Semantic Enhancement Framework for Teacher Knowledge Tracing Using Large Language Models

    Hai Li and Chenglu Li

  2. Tell Me Why: Designing an Explainable Dialogue Systems using Fine-tuned LLM

    Zhilin Fan, Deliang Wang, Wutong Dong, Penghe Chen and Yu Lu

  3. When AI Tutors Make Mistakes: Why Saying "I Was Wrong" Matters Most

    Xianghui Meng and Jionghao Lin

  4. EmphAI: An VLM-Based System for Feedback on Non-Verbal Communication in Clinical Training

    Azmine Toushik Wasi, Wahid Faisal and Mst Rafia Islam

  5. Can an AI Teach Children to Recognize Medical Emergencies? A Game-Based Human-AI Learning Approach

    Azmine Toushik Wasi, Mst Rafia Islam, Wahid Faisal and Abdur Rahman

  6. From Search Engine to Thought Partner: What Do Teachers Use AI Chatbots For?

    Ana Trindade Ribeiro, Benjamin Leivas, Carly Robinson, Chris Agnew and Susanna Loeb

  7. Toward Agentic AI Teammates for Early Childhood Educators: A Voice-Native Framework for Developmental Monitoring

    Francis Martinson, Malik Muhammad and Cailen O'Shea

  8. Geometric Curriculum Coverage for Detecting Summary Incompleteness via Hausdorff Distance

    Manikandan Ravikiran, Phillip Howard and Shayan Mohanty

  9. Semantic Flow Refinement for Low-Legibility Handwritten Answers

    Manikandan Ravikiran, Shrey Chandola and Rohit Saluja

  10. Detecting Cognitive Offloading in Student-LLM Dialogues Through Behavioral Coding and Panel Analysis

    Zixin Wang and Silin Liu

  11. A Teammate-Oriented Analysis of Multimodal Grounding for VR Algebra Support

    Donggil Song and Anne Lippert

  12. From Mirroring to Guiding: The Impact of Directive Process Feedback on Revision Strategies

    Léo Nebel, François Bouchet and Vanda Luengo

  13. Zero-Shot Automated Essay Scoring with Large Language Models via Continuous Pre-training

    Taichi Kitajima and Masaki Uto

  14. Learner-centered Feedback Using Generative AI to Differentiate Support Across Levels of Learners’ Epistemic Understanding

    Jina Chang and Jisun Park

  15. Team Patterns of GenAI-Triggered Metacognitive Behaviors in Computational Thinking

    Yimei Zhang, Yajie Song, Linlin Li, Yiwen Yan and Maria Cutumisu

  16. Do Language Models Matter? Evaluating Model Choice in a Multi-Agent Feedback Framework

    Harvey Ngoe Kolle, Carrie Demmans Epp, Amna Liaqat and Maria Cutumisu

  17. Visualizing Psychological Safety in Online Lectures via LLM-based Interaction Analysis

    Naomi Nagata and Tomofumi Uetake

  18. Beyond Information Retrieval: Generative AI as an Epistemic Arbiter to Enhance Collaborative Problem-Solving

    Jiaxin Zou, Xiaoming Zhai and Chunlei Gao

  19. Closing the Feedback Loop: Automated Quality Assurance for LLM-Generated Feedback

    Okan Bulut and Cole Walsh

  20. Simulating Students’ Thinking with Large Language Models: Informing Iterative Design in Science Education

    Saerok Park and Ha Nguyen

  21. Stack Theory: A Modular, Dynamic Framework for Human Capability in the Age of AI

    Hanbyul Jung

  22. Deciphering How GenAI Shapes Engagement Profiles in Collaborative Inquiry by Movement Analysis

    Shuang Wu, Shen Ba and Guoqing Lu

  23. QLoRA-Based Fine-Tuning of Offline LLMs for Assisting Pedagogical Evaluation Report Writing

    Antonio Carlos de Oliveira Bezerra, Álvaro Sobrinho, Luciano Cabral, Diego Dermeval, Andre Araujo, Rafael D. Araújo and Sebastian Munoz-Najar Galvez

  24. Redesigning the Validation of AI-Generated Content in an AIED-Unplugged System: A Participatory Design Study with Teachers

    Eraldo Neto, Mariana Alves, Vitor Aguiar, Aristoteles Barros, Mateus Santos, Jardilene Gomes, Gleydson Silva, Maxmilian Siqueira, Ig Bittencourt, Seiji Isotani, Valmir Marcario, Diego Dermeval and Luiz Rodrigues

  25. Multidisciplinary Theory Empowered LLM Multi-Agent System for Student Problem Behavior Diagnosis

    Penghe Chen, Shuyuan Liu, Zhilin Fan and Yu Lu

  26. Live Knowledge Tracing: Real-Time Adaptation using Tabular Foundation Models

    Mounir Lbath, Alexandre Paresy, Abdelkayoum Kaddouri, Abdelrahman Zighem and Jill-Jênn Vie

  27. Human-AI Co-Design of Profile-Aware Feedback for Metacognitive Support

    Abdelkader Ouared, Nicolas Dugué, Claudine Piau-Toffolon and Madeth May

  28. Bridging ASR Limitations with Human Judgment: A Hybrid Approach to Oral Presentation Feedback

    Pauli Lai, Christy Chan, Julia Chen, Irene Yiqiao Song and Chiho Chan

  29. Opportunities and Tensions of AI in Special Education: Perspectives from Reddit Teacher Communities

    Casey Keunhee Kim, Hunhui Na, So Jung Kim and Namhee Kim

  30. The Pedagogy of AI Mistakes: Fostering Higher-Order Thinking

    Hadi Hosseini

  31. AutoKT: Using LLMs to Estimate Item Difficulty for Knowledge Tracing

    Xianghui Meng, Yujing Zhang and Jionghao Lin

  32. Does Conversation-Based Assessment Elicit Higher-Level Thinking? Evidence from Expert and LLM Ratings

    Okan Bulut, Bin Tan and Seyma N. Yildirim-Erbasli

  33. A Systematic Review of Empirical Studies on Intelligent Tutoring System Feedback in K-12 Classrooms

    Shintaro Sato, Maria Cutumisu and Tomohiro Nagashima

  34. Extended Deep Learning Knowledge Tracing to Incorporate Additional Learning Events and Provide Explanations

    Ziwei Wang, Irena Koprinska and Bryn Jeffries

  35. How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay Drafts

    Steven Coyne, Diana Galvan-Sosa, Ryan Spring, Machi Shimmei, Michael Zock, Keisuke Sakaguchi and Kentaro Inui

  36. Learning AI Without a STEM Background: Mixed-Methods Evidence from a Diverse, Mixed-Cohort AIED Program

    Valentina Kuskova, Dmitry Zaytsev and Richard Johnson

  37. Using AI-Generated Feedback to Improve Critical Thinking and Writing Proficiency

    Qi Zhu, Xiaoming Zhai, Yan Zou and Chunlei Gao

  38. A Multi-Dimensional Framework for Automatic Assessment Question Evaluation

    Omar Amrani Nejjar and Ismail Berrada

  39. Why Machines Misread Pedagogical Quality: Human–Machine Alignment in LLM-Based Pretest Question Evaluation

    Pei-Yu Tseng, Mahir Akgun and Peng Liu

  40. ClassPulse: A Bidirectional AI-Supported Programming Homework Platform for Teaching Signals and Student Learning Support

    Hanjing Shi and Dominic DiFranzo

  41. Profiling Cognitive Interaction and Epistemic Emotions in Generative Artificial Intelligence-Supported Learning: A Dual-Agent Analysis Based on Reflective Journals

    Qinglin Zhang, Luwei Xiao, Xinyi Wu, Guangjie Chen and Feng-Kuang Chiang

  42. Robust Multi-Document Localization for Multimodal Intelligent Tutoring Systems

    Jiwei Deng, Xuyang Zhu, Zitao Liu and Weiqi Luo

  43. Uncertainty-Aware Multi-Metric Evaluation of Human–Machine Agreement for LLM-Based Educational Assessment

    Jin Eun Yoo, Hyeong Gwan Kim and Taeuk Kim

  44. The Hidden Costs of Contextual Sycophancy: an AI Literacy Intervention in Human–AI Collaboration

    Cansu Koyuturk, Sabrina Guidotti and Dimitri Ognibene

  45. From Virtual Programming to Real-World Creative Expression: A VR-Based STEAM Approach to Reducing STEM Learning Stress

    Ziqi Pan, Nuha Alghamdi, Takashi Nagai, Nobuyuki Tachi, Izumi Kaji, Mizue Kayama and Alexandra Cristea

  46. Exploring Student Participation Patterns in GenAI-Assisted Collaborative Learning Using Heterogeneous Interaction Network Analysis

    Siyou Wu and Shihui Feng

  47. Translating Game-Based AI Literacy Activities Across Age Groups: A Pilot Study in Undergraduate Computer Science

    Alex Goslen, Jessica Vandenberg, Claire Aguiar, Wookhee Min, Veronica Catete and Bradford Mott

  48. Fairness-Aware Predictive Learning Analytics at Scale in Public Secondary Education

    Emanuel Queiroga, Daniel Santana, Marcelo Pessoa, Fernanda Arantes, Leonardo Santos, Samara Cunha, André Oliveira, Martim Ancona de Aguiar, Thales Vieira, Cristina Couri, Rafael Ferreira Mello, Ricardo Madeira, Ig Bittencourt and Cristian Cechinel

  49. Do Gains from Generative AI–Enabled Adaptive Pretesting Persist? Evidence from a Retention Study

    Mahir Akgun and Sacip Toker

  50. Autism-Affirming AI Job Coaching for Workplace Navigation: Insights from Autistic Adults

    Delia Kan, Karen Bong, Aricia Chuai and Edwin Chng

  51. AI or Human? An Open-Source SDK and Dashboard for Detecting Outsourced Responding

    Eason Chen, Michael Asher, Gillian Gold, William Chen and Paulo Carvalho

  52. Learning to Be Green: A Pilot Study of the Gaia Multi-Agent Tutor

    Ahsen Çini, Pantelis M. Papadopoulos, Stergios Tegos and Apostolos Mavridis

  53. When Textification Fails: Embedding Collapse in Student Dropout Prediction

    Abdelghafour Aboukacem, El Houcine Bergou, Ismail Berrada, Youssef Iraqi and Loubna Mekouar

  54. The Illusion of Understanding: How Middle-School Students Fail to Regulate Inquiry with ChatGPT During a Science Task

    Rania Abdelghani, Kou Murayama, Celeste Kidd, Hélène Sauzéon and Pierre-Yves Oudeyer

  55. SCAFFOLD: Action-Space Abstraction in Offline Bandits for Pedagogical Reranking of Scholarly Literature

    Xinjin Li, Haibing Zhang, Yuzhen Lin, Yue Wu, Mengyue Wang, Ziqi Sha, Yeyang Zhou, Jinghan Cao and Yu Ma

  56. Web-Genius: A Lightweight Multi-Agent Architecture for Transforming Static Educational Webpages into Adaptive Learning Tools

    Vijay Prakash, Gurudeo Thakare and Devanshu Saindane

  57. Multimodal LLM-Driven Sketch Assessment to Support Students’ Science Problem Solving

    Andy Smith, Wynnie Chan, Ruchita Patel, Nicole Wong, Bradford Mott, Cathy Ringstaff, Mingyu Feng and James Lester

  58. Learning Beyond the Screen: Designing a Voice-based Conversational AI Teacher for Low-Infrastructure Contexts

    Christine Kwon, John Stamper and Amy Ogan

  59. Exploring Intentional Ambiguity to Exploit Generative AI Grading

    Jonathan Gao, Lucas Flygare and Craig Zilles

  60. Ellysia: Vision-Language Evaluation of STEM Educational Videos with a 12-Item Checklist

    Caitlyn Tan, Ethan Wang, Katie Li, Yeman Xu, Jiachen Liu, Emre Dinç, Brian Belland, Chanmin Kim and Sharon X. Huang

  61. Teacher Burnout in AI Integration: A Mediation Model of TPACK, Need Satisfaction, and Technostress

    Yiran Lin, Amanda Olsen and Nikki G. Lobczowski

  62. Human Agency Sparks AI Synergy: The Structural Relationship between Self-Regulated Learning, Engagement, and Acceptance of AI Digital Educational Materials

    Hyorim Ha, Ju Young Lee, Jeongyun Han and Young Hoan Cho

  63. From Moves to Pathways: Characterizing Pedagogical Discourse Dynamics in Online Tutoring with Bayesian Generative Modeling

    Michael Light, Michael Ion and Kevyn Collins-Thompson

  64. A Multimodal RAG Platform for Feedback-Adaptive Assessment and Cognitive Scaffolding

    Mourya Teja Kunuku and Nasrin Dehbozorgi

  65. Tree-Guided LLM Task-Oriented Dialogue for Student Problem Behavior Diagnosis

    Penghe Chen, Xiaofeng Cai, Zhilin Fan, Wei Li and Yu Lu

  66. Beyond Recall: Calibrating LLMs to Score Causal Reasoning in STEM Transfer Questions

    Xinyue Jiao, Basel Hussein, Yuli Shao, Yuqi Hang, Al Olsen and Jan Plass

  67. Validating High-Inference Pedagogical Constructs: Preliminary Evidence from a Multi-Agent Architecture for Equity-Focused Mathematics

    Jingyun Wu, Lin Li, Amin Samadi, Hao Ke, Nia Nixon and Jamaal Matthews

  68. Toward Grade-Aligned Educational Text Generation with Training-Free Readability Steering

    Maya Bialik and William Cummings

  69. Improving Multiple Choice Questions Using Synthetic Data

    Maya Bialik and William Cummings

  70. A Dialogue-Based Board Game for AI Literacy in Higher Education

    Qiao Lin and Ruiqian Wang

  71. Design and Feasibility of an LLM-Powered Humanoid Robot as a Reading Companion to Support Children’s AI Literacy

    Feiwen Xiao, Zhaohui Li, Shiyan Jiang and Jinjun Xiong

  72. VR Gesture Analyst: An AI-Assisted Tool for Multimodal Gesture Coding in Collaborative VR Learning

    Xinyue Jiao

  73. Teaching Step by Step: LLM-Generated Animations That Segment Mathematical Concepts, Not Just Render Answers

    Chen-Ting Liao, Ting-Yi Chou, Tse-Wen Liu, Guan-Yi Wu and I-Wei Lai

  74. A Multi-Agent Instructional Support System for Human–AI Collaborative Diagnostic Problem Solving: Classroom Evidence

    Xiu Guan, Xue Yang, Qi Wu, Yingqun Liu, Lifang Zhang, Liyong Qian and Xibin Han

  75. PersonA.I.: Supporting Ethical Decision-Making Through a Role-Playing Game with Conversational Agents

    Yue Wang, Yeji Ko, Sieun Park and Hyo-Jeong So

  76. Making Bias Explorable for Metacognitive Scaffolding and Shared Regulation in Learning

    Chaeyeon Lim

  77. Capturing Momentary Motivational States Using Detector-driven In-situ Questionnaire

    Linxuan Zhao, Mladen Rakovic, Garam Ann Lee, Heba Nuseibah, Elizabeth Cloude and Lisa Bardach

  78. Characterising Student Behaviours with AI-Generated Feedback in Higher Education

    Flora Ji-Yoon Jin, Linxuan Zhao, Abhinava Barthakur, Ryan Baker, Shane Dawson and Srecko Joksimovic

  79. A Place-Based Intelligent Learning Technology Leveraging Microclimates for Adaptation

    Imran S. A. Khan, Emmanuel G. Blanchard and Sébastien George

  80. Towards LLM-based Detection of Gaming a Generative Tutor

    Sebastian Daniëls, Jjasper Roelofsen and Sergey Sosnovsky