AIED Seoul 2026 emblem

AIED 2026

Seoul, Republic of Korea

Accepted Papers

Main Track

Accepted papers span across three tracks: Technical Aspects, Human Aspects, and Societal Aspects.

Technical Aspects

Full & Short Papers

Human Aspects

Full & Short Papers

Societal Aspects

Full & Short Papers

Track

Technical Aspects of AIED

Full Papers

  1. Evidence–Decision–Feedback: Theory-Driven Adaptive Scaffolding for LLM Agents

    Clayton Cohn, Siyuan Guo, Surya Rayala, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Angela Eeds, Menton Deweese, Pamela J. Osborn Popp, Rebekah Stanton, Shakeera Walker, Meiyi Ma and Gautam Biswas

  2. DrawSim-PD: Simulating Student Science Drawings to Support NGSS-Aligned Teacher Diagnostic Reasoning

    Arijit Chakma, Peng He, Honglu Liu, Zeyuan Wang, Tingting Li, Tiffany Do and Feng Liu

  3. Enhancing Intelligent Tutoring Systems with Instruction-Tuned LLMs: Automated Assessment of Student Code Comprehension

    Jeevan Chapagain and Vasile Rus

  4. Automatically Inferring Teachers' Geometric Content Knowledge: A Skills Based Approach

    Ziv Fenigstein, Osama Swidan, Inbal Israel, Kobi Gal, Avi Segal and Hassan Ayoub

  5. Personalized AI Practice Replicates Learning Rate Regularity at Scale

    Jocelyn Beauchesne, Christine Maroti, Jeshua Bratman, Jerome Pesenti, Laurence Holt, Alex Tambellini, Allison McGrath, Matthew Guo and Sarah Peterson

  6. Benchmarking Scientific Formula Vocalization in Large Speech Language Models Toward Accessible Learning

    Xueyi Li, Tianqiao Liu, Jiaqi Zheng, Zitao Liu, Yongdong Wu and Weiqi Luo

  7. From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring

    Nizam Kadir, Nacha Sockalingam and Dorien Herremans

  8. Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math

    Dingjie Song, Tianlong Xu, Yifan Zhang, Hang Li, Zhiling Yan, Xing Fan, Haoyang Li, Lichao Sun and Qingsong Wen

  9. Prompt Optimization with Verifiable Rewards for Synthetic Essays in Automated Essay Scoring

    Sungjin Nam

  10. Generating Personalized Programming Exercises via Cognitive State Graphs and ZPD-Driven Prompting

    Liang Zhang, Jiangyiyang Zhu and Yan Ma

  11. Short, Long, or Affective: Evaluating LLM-Generated Feedback Styles for Student Learning

    Eamon Worden, Morgan Lee, Abubakir Siedahmed, Adam Sales, Jiayi Zhang, Roee Shraga and Neil Heffernan

  12. Developing and Evaluating a Large Language Model–Based Tool for Qualitative Analysis of Teacher Interviews

    Mingyu Feng, Ethan Prihar and Natalie Brezack

  13. An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration

    Muntasir Hoq, Griffin Pitts, Bradford Mott, Seung Lee, Jessica Vandenberg, Shuyin Jiao, Narges Norouzi, James Lester and Bita Akram

  14. Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards

    Md Mirajul Islam, Rajesh Debnath, Adittya Soukarjya Saha and Min Chi

  15. Beyond Show and Tell: Explainable AI-Supported Feedback for Developing Data Visualization Sense-Making Skills

    Supakit Boonsongprasert, Sachin Pathak, Chris Song and Lujie Chen

  16. A Multi-Agent Approach to Validate and Refine LLM-Generated Personalized Math Problems

    Fareya Ikram, Nischal Ashok Kumar, Junyang Lu, Hunter McNichols, Candace Walkington, Neil Heffernan and Andrew Lan

  17. Gaze to Insight: A Scalable AI Approach for Detecting Gaze Behaviours in Face-to-Face Collaborative Learning

    Junyuan Liang, Qi Zhou, Sahan Bulathwela and Mutlu Cukurova

  18. When AI Meets Early childhood education: Large Language Models as Assessment Teammates in Chinese Preschools

    Xingming Li, Runke Huang, Yanan Bao, Yuye Jin, Yuru Jiao and Qingyong Hu

  19. From Slides to Exams: A Multi-Agent Human-AI System for Collaborative Assessment Design

    Hoang Khiem Truong, Duc-Tuan Luu, Ngoc Hao Duong, Van Thin Dang and Luu Thuy Ngan Nguyen

  20. ALLM-Driven Multi-Agent System for Professional Development of Mathematics Teachers

    Hang Li, Kaiqi Yang, Yucheng Chu, Ahreum Han, Rui Meng, Yasemin Copur-Gencturk and Hui Liu

  21. A Neuro-Symbolic Approach to Extracurricular Activity Recommendation Based on Cognitive Profiling

    Tatyana Bukina, Marina Khramova, Nikita Smirnov, Semen Kurkin and Alexander Hramov

  22. From Problem Solving to Pedagogical Feedback: Student-Centric Tree-of-Thought Reasoning for Student Error Attribution

    Tengju Li, Penghe Chen, Jiong Wang, Ding Yu, Hao Wu and Yu Lu

  23. ANVIL: Analogies and Video for CS Lecturers

    Yuri Noviello, Anastasia Birillo and Gosia Migut

  24. Process-Integrated IRT: Enhancing Ability Estimation in Computer-based Programming Assessments through Response Process Data

    Yoshimitsu Miyazawa and Maomi Ueno

  25. New Intent Discovery for Educational Dialogue Texts via Semantic-Aware Data Augmentation

    Xinyu Zhu, Fei Jiang, Xiaoqing Gu and Gong Wang

  26. When Can We Trust LLM Graders? Calibrating Confidence for Automated Assessment

    Robinson Ferrer, Zhongzhou Chen and Shashank Sonkar

  27. REFINE: Real-world Exploration of Interactive Feedback and Student Behaviour

    Fares Fawzi, Seyed Parsa Neshaei, Marta Knezevic, Tanya Nazaretsky and Tanja Käser

  28. The TME Framework: Multimodal Learner Modeling for Active Listening Skills in Collaborative Problem Solving

    Xiaomeng Huang, Xavier Ochoa and Dani Hiterer

  29. An Item Response Theory Model for Addressing Halo Effects in Performance Assessment

    Masaki Uto and Ryota Kitakaze

  30. LLM-based Virtual Standardized Patients with Response Excessiveness Suppression via Direct Preference Optimization for Medical Interview Examinations

    Naoki Shindo and Masaki Uto

  31. PSC: Personalized Sentence-level Pronunciation Coaching Framework for Thai EFL Learners

    Phurinat Polasa, Narabodee Rodjananant, Thanapon Thanadunpremdet, Settapun Laoaree, Chonlana Kruawuthikun and Nattapol Kritsuthikul

  32. Building Evidence-Linked Curriculum Knowledge Graphs for Academic Pathway Planning

    Jingyi Zhao, Rhodri B Nelson, Deborah Pelacani Cruz and Matthew D Piggot

  33. Misconception Acquisition Dynamics of Large Language Models

    Naiming Liu, Xinghe Chen, Richard Baraniuk and Shashank Sonkar

  34. Beyond Next-Response Prediction: Evaluating Knowledge State Transition Consistency in Deep Learning Based Knowledge Tracing Models

    Youheng Bai, Shen Han, Gangyi Tan, Jiahao Chen, Zitao Liu and Weiqi Luo

  35. Grounding Programming Agent in Computational Thinking: Design and Evaluation of MazeMate

    Chenyu Hou, Hua Yu, Gaoxia Zhu, John Derek Anas, Jiao Liu and Yew Soo Ong

  36. SciEval: A Benchmark for Automatic Evaluation of K–12 Science Instructional Materials

    Zhaohui Li, Peng He, Zhiyuan Chen, Honglu Liu, Zeyuan Wang, Tingting Li and Jinjun Xiong

  37. Has Automated Essay Scoring Reached Sufficient Accuracy? Deriving Achievable QWK Ceilings from Classical Test Theory

    Masaki Uto

  38. Automated Multimodal Transcription for Belonging-centered Classroom Interaction Analysis: Opportunities and Challenges

    Lin Li, Mohammad Amin Samadi, Jingyun Wu, Linxuan Zhao, Nia Nixon and Jamaal Matthews

  39. Single-agent vs. Multi-agents for Automated Video Analysis of On-Screen Collaborative Learning Behaviors

    Likai Peng and Shihui Feng

  40. SLOW: Strategic Logical-inference Open Workspace for Real-time Cognitive Adaptation in AI Tutoring

    Yuang Wei, Ruijia Li and Bo Jiang

  41. From Learning Resources to Competencies: LLM-Based Tagging with Evidence and Graph Constraints

    Ngoc Luyen Le, Marie-Hélène Abel and Bertrand Laforge

  42. Simulating Novice Students Using Machine Unlearning and Relearning in LLMs

    Jiajia Song, Zhihan Guo and Jionghao Lin

  43. An AI-Assisted Co-Planning System for Early English Reading Practice

    Justin Vasselli, Adam Nohejl and Taro Watanabe

  44. Capture-Calibrate-Coach: A Graph-Based Framework for Knowledge Monitoring Estimation and Adaptive Feedback

    Gen Li, Li Chen, Cheng Tang, Boxuan Ma, Yuncheng Jiang, Daisuke Deguchi, Takayoshi Yamashita and Atsushi Shimada

  45. The Cost of Thinking: Increased Jailbreak Risk in Large Language Models in Education

    Fan Yang, Ke Wang, Wenzhou Dou, Yifan Shuai, Zitao Liu and Weiqi Luo

  46. CLAIRE: a Controllable LLM Tutoring Framework for Reading Comprehension

    Chiara Magurno, Michele Luca Contalbo, Matteo Paganelli, Enrico Giliberti, Chiara Bertolini and Francesco Guerra

  47. RoMathExam: A Longitudinal Dataset of Romanian Math Exams (1895–2025) with a Seven-Decade Core (1957–2025)

    Luca Nicolae Cuclea, Sabin Codrut Badea and Adrian Marius Dumitran

  48. Offline Reinforcement Learning for Personalized Feedback in Online Programming Education

    Badmavasan Kirouchenassamy, Amel Yessad, Sébastien Jolivet and Vanda Luengo

  49. Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language Models

    Dominik Glandorf, Fares Fawzi and Tanja Käser

  50. Confidence Estimation in Automatic Short Answer Grading with LLMs

    Longwei Cong, Sonja Hahn, Sebastian Gombert, Leon Camus, Hendrik Drachsler and Ulf Kroehne

  51. Evaluating Interactivity: Toward Automated Assessment of AI-Generated Explorable Explanations

    Xiaozao Wang, Zhewei Wang and Hongyi Wen

  52. MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers

    Zhihan Guo, Rundong Xue, Yuting Lu and Jionghao Lin

  53. SEPT Privacy-by-Design Framework for Early Teacher Intervention: Modeling Difficulty as a Deviation from a Student's Success Signature

    Edouard Nadaud, Bénédicte Le Grand and Lionel Prévost

  54. SLAI: AI Support for Multilingual Small Group Discussions in Science Classrooms

    Shamya Karumbaiah, Alina Guha and Anurag Maravi

  55. Cold-Start Syntax Error Prediction in Programming Education: Comparing Sequential Knowledge Tracing and Large Language Models

    Martha Shaka and Ken Brown

  56. Methodologies for Improving the Quality of AI Tutoring in K-12 Education

    Tushar Udeshi, Kabir Khan and Anna Khazenzon

  57. Small, Private Language Models as Teammates for Educational Assessment Design

    Chris Davis Jaldi, Anmol Saini, Shan Zhang, Noah Schroeder, Cogan Shimizu and Eleni Ilkou

  58. Using LLMs to Annotate Pedagogical Moves: You Know What I Mean?

    Videep Venkatesha, Sifat Anindho, Ethan Seefried and Nathaniel Blanchard

  59. When to Stop? An Experimental Study on AI Teachable Agent Stopping Mechanisms and Their Learning Affordances in Mathematics

    Yinqi Zhang, Chenglu Li, Gökhan Gülfidan, Hai Li, Magdalena Castaneda-Rios, Rui Guo, Yukyeong Song and Wanli Xing

  60. Can We Trust AI's Self-Assessment? Evaluating and Improving LLM Confidence Calibration in Educational Dialogue Coding

    Hongming Li, Huan Kuang and Anthony F. Botelho

  61. Learning Context Matters: Measuring and Diagnosing Personalization in AI Instructional Design

    Johaun Hatchett, Debshila Basu Mallick, Brittany Bradford and Richard Baraniuk

  62. Optimizing In-Context Demonstrations for LLM-based Automated Grading

    Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin Haudek, Joseph Krajcik and Jiliang Tang

  63. Modeling Completion Time in Mathematics Formative Assessments: Content-Based Prediction of Time Variation

    Anthony F. Botelho, Zhongtian Huang, Natalia S. Martin and Jinnie Shin

  64. Modeling Student Learning with 3.8 Million Program Traces

    Alexis Ross, Megha Srivastava, Jeremiah Blanchard and Jacob Andreas

  65. CLARA: An AI-Augmented Analytics Dashboard for Collaboration Literacy

    Dawei Xie, Khalil Anderson, Tochukwu Eze, Chenghong Lin, Bookyung Shin and Marcelo Worsley

  66. SimPath: Clinically Grounded AI Patients for Therapist Training

    Vatsal Mehta, Zinan Zhang, Anushka Anand, Shreevidhya Shambanna and Akram Bayat

  67. MusicTutor: Facilitating Goal-Oriented Singing Practice via Multi-Agent Tutoring Framework

    Tengteng Cheng, Xueyi Li, Teng Guo, Mingliang Hou, Zitao Liu and Weiqi Luo

  68. The Missing Dimension: Evaluating AI Tutors Through Student Engagement with Feedback

    Rose Niousha, Samantha Boatright Smith, Bita Akram, Peter Brusilovsky, Arto Hellas, Juho Leinonen, John DeNero and Narges Norouzi

  69. Learning in Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework for Language Learning

    Nicy Scaria, Silvester John Joseph Kennedy and Deepak Subramani

Short Papers

  1. Can Multimodal LLMs ‘See’ Science Instruction? Benchmarking Pedagogical Reasoning in K-12 Classroom Video

    Yixuan Shen, Peng He, Honglu Liu, Yuyang Ji, Tingting Li, Tianlong Chen, Kaidi Xu and Feng Liu

  2. RL Agents Reveal What's Hard: Bootstrapping Difficulty-Ordered Curricula for Human Learners

    Sidney Tio, Wen Jun Li, Ramesha Karunasena and Pradeep Varakantham

  3. A Generalizable Approach for Real-Time Personalized Feedback in Open-Ended Learning Environments

    Ethan Prihar, Hugues Saltini, Peter Bühlmann and Tanja Käser

  4. 4OPS: Exact Enumeration and Difficulty Modeling for Integer Arithmetic Puzzles

    Yunus Zeytuncu

  5. Using Poly-Encoders for Computationally Efficient Automated Creativity Assessment

    Sam Grouchnikov, Phillip Gregory and Jiho Noh

  6. Evaluating Vision-Language and Large Language Models for Automated Student Assessment in Indonesian Classrooms

    Nurul Aisyah, Muhammad Dehan Al Kautsar, Arif Hidayat, Raqib Chowdhury and Fajri Koto

  7. From writing traces to personalised support: Guiding LLMs with stylometric fingerprints

    Di Wu, Kamila Misiejuk, Sonsoles López Pernas, Guanliang Chen, Mohammed Saqr and Eduardo Oliveira

  8. DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education

    Lingyue Fu, Datong Chen, Haowei Yuan, Qingyao Li, Weiwen Liu, Weinan Zhang and Yong Yu

  9. FoundationalED: Dataset for Foundational Knowledge Tracing Pedagogical Grounding of LLMs

    Eamon Worden, Neil Heffernan, Cristina Heffernan and Shashank Sonkar

  10. Leveraging LLMs for Dynamic Engagement Pattern Recognition in Collaborative Learning

    Stella Xin Yin, Zhengyuan Liu, Dion Hoe-Lian Goh and Nancy F. Chen

  11. THiNK: Can Large Language Models Think-aloud?

    Yongan Yu, Mengqian Wu, Yiran Lin and Nikki G. Lobczowski

  12. Student Development Agent: Risk-free Simulation for Evaluating AIED Innovations

    Jianxiao Jiang and Yu Zhang

  13. Design, Integration, and Evaluation of LLM-Enhancement Techniques for LMSs: RAG, LoRA Fine-Tuning, and Structured Generation

    Marc Ghanime, Christopher Krauss, Bach Do and Truong-Sinh An

  14. Multi-Dimensional Evaluation of Large Language Models for Grammatical Error Correction

    Adnan Labib, Qiao Wang, Yixuan Huang and Zheng Yuan

  15. From BOPPPS Stages to Cognitive-Adaptive Prompts: Controlling Instructional Drift in LLM-Based Tutoring Dialogues

    Longxiang Du, Rui Zhong, Zhenwan Zhu, Shi Dong and Shuyuan Sun

  16. Measuring What Matters---or What’s Convenient?: Robustness of LLM-Based Scoring Systems to Construct-Irrelevant Factors

    Cole Walsh and Rodica Ivan

  17. The Limits of Text-Only LLMs for Think-Aloud Transcript Correction: A Multimodal Comparison in the Context of a Puzzle Video Game

    Nasim Eshgarf, Zack Carpenter and Craig Anderson

  18. Using LLMs for Knowledge Component-level Correctness Labeling in Open-ended Coding Problems

    Zhangqi Duan, Arnav Kankaria, Dhruv Kartik and Andrew Lan

  19. Translating XAI into Actionable Feedback Using LLMs to Prevent Student Dropout

    Filipe Dwan Pereira, George Zambonin, André Nascimento, Mario Santos, Mariana Mello, Tyagi Lima, Luiz Rodrigues, Cleon Xavier, Newarney Torrezão da Costa, Dragan Gasevic, Gabriel Alves and Rafael Ferreira Mello

  20. AI Roles as Multiple-Source Texts: Designing a Detective-Inquiry Writing Activity for Elementary Students

    Chang-Yen Liao

  21. LLM-Driven Text Simplification and its Effects on Extensive Reading in EFL Learners

    Yiling Dai and Toya Terao

  22. Predicting the Finish Before the Draft Ends: Continuous Forecasting of Writing Performance from Process Traces

    Kaixun Yang, Jiameng Wei, Zhiping Liang, Mladen Raković, Eduardo Oliveira, Dragan Gašević and Guanliang Chen

  23. MPKT: A Knowledge Tracing Model for Music Performance Learning

    Yan Zhang, Qikai He, Mengqiao Chen, Chuanya Duan and Wei Xu

  24. Automated Grading of Handwritten Mathematics Using Vision-Capable LLMs

    Jacob Levine, Miguel Aenlle, Craig Zilles, Matthew West and Mariana Silva

  25. How Prompting and Context Granularity Shape LLM-Based Assessment of Academic Writing: A Case Study in Serbian

    Teodor Sakal Francišković, Jelena Slivka, Nikola Luburić and Mitar Perović

  26. Agnoagentia: The Illusion of Agency in AI-Assisted Learning

    Iris Delikoura, Pantelis M Papadopoulos and Pan Hui

  27. Do Instructional Behaviors Generalize Across Disciplines? An Empirical Study with Fine-Tuned Multimodal LLMs

    Cunling Bian, Saisai Ye and Weigang Lu

  28. From Black-Box Generation to Pedagogically Controllable Creation: A Text-to-Image Interactive System in Design Education

    Jian Xu and Wangda Zhu

  29. Scaffolding-First Constraint Design for LLM Tutors in Data-Science Problem Solving

    Stefania Zourlidou, Shokooh Ebri, Tai Le Quy and Frank Hopfgartner

  30. Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding

    Conrad Borchers, Jiayi Zhang and Ashish Gurung

  31. Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design

    Jiayi Wang, Ruiwei Xiao, Xinying Hou and John Stamper

  32. Multi-Label Collaborative Dialogue Act Recognition for Adaptive Team Training Environments

    Jay Pande, Wookhee Min, Randall Spain, Vikram Kumaran and James Lester

  33. Circuit Complexity of Hierarchical Knowledge Tracing and Implications for Log-Precision Transformers

    Naiming Liu, Richard Baraniuk and Shashank Sonkar

  34. Beyond the Gold Standard: Reliability Estimation of Human and GenAI Scoring

    Ji Yoon Jung, Ummugul Bezirhan and Matthias von Davier

  35. CODE-GEN: A Human-in-the-Loop RAG-Based Agentic AI System for Multiple-Choice Question Generation

    Xiaojing Duan, Frederick Nwanganga and Chaoli Wang

  36. Content-Grounded Learning Behavior Analysis for Contextualized Feedback

    Atsushi Shimada, Yuma Miyazaki and Saiki Hirotaka

  37. Evaluating a Data-driven Redesign Process for Intelligent Tutoring Systems

    Qianru Lyu, Conrad Borchers, Meng Xia, Karen Xiao, Paulo F. Carvalho, Kenneth R. Koedinger and Vincent Aleven

  38. Time-window ONA: Model the impact of utterances in Ordered Network Analysis

    Wangda Zhu, Guang Chen and Yin Yang

  39. On Generating and Validating Erroneous Examples in CS1 using LLMs

    Yuxuan Chen, Chenyan Zhao, Jacob Levine, Kangyu Feng, Max Fowler and Mariana Silva

  40. Contrastive Network-based Similarity for Zero-Shot Automatic Scoring of Very Short Handwritten Answers

    Nam Tuan Ly, Hung Tuan Nguyen, Truong Thanh-Nghia and Masaki Nakagawa

  41. MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning

    Indronil Bhattacharjee and Christabel Wayllace

  42. Peer and Tutor in One: A Productive Failure-Based Architecture for Multi-Role Conversational Agents in Physics Learning

    Junbo Koh, Minsun Cho and Sunyoung Keum

  43. EduArt-Bench: A Benchmark and Lightweight Scoring Calibration for K-12 Art Education

    Zekun Huang, Shuyan Chen, Yiwen Chen, Xun Zhou and Wei Xu

  44. Conceptualization of Thinking Activities-specific Metacognitive Knowledge Ontology

    Tomoki Aburatani, Yuki Hayashi and Kazuhisa Seta

  45. Mix and Match: Context Pairing for Scalable Topic-Controlled Educational Summarization

    Nathikan Yodthap, Thanapong Intharah and Sahan Bulathwela

  46. Study Program Curriculum Development with an AI Assistant

    Blaženka Divjak, Petra Vondra, Darko Grabar, Barbi Svetec and Josipa Bađari

  47. Cross-Dataset Bloom Question Classification: Supervised Models and Prompted LLMs

    Mohammadreza Molavi Hajiagha, Abdolali Faraji, Zohre Rasoulkhani, Mohammadreza Tavakoli and Gábor Kismihók

  48. Decoding Latent Reasoning: Mechanistic Interpretability of Chain of Continuous Thought with Sparse Autoencoders

    Shlok Sand, Chaitanya Shah and Vasudeva Varma

  49. Personalizing Mathematical Game-based Learning for Children: A Preliminary Study

    Jie Gao and Adam K. Dubé

  50. A Hybrid Human-AI Content Generation Framework for Safe and Personalized Dialogic Learning with Children

    Elena Malnatsky, Shenghui Wang, Kuhu Sinha, Koen V. Hindriks and Mike E.U. Ligthart

  51. Writing Response Theory: Confidence-Aware Likelihood-Based Measurement from Student Writing

    S. Thomas Christie, Matthew Zent, Anna Rafferty and Simon Woodhead

  52. Delegating Educational Tasks to Large Language Models: A Systematic Analysis of Evaluation Approaches

    Badmavasan Kirouchenassamy, Chloé Conrad, Maëva Somny and Léo Nebel

  53. An ORID-Structured GenAI Reading Companion Integrating Structured Book Chat and Virtual Labs for Science Reading

    Chen Hu, Hui-Chun Hung, Chih-Hao Hsu, Shu-I Fang, Chen-Chung Liu, Chia-Hui Chang and Ying-Tien Wu

  54. Large Language Models for Automated Bloom's Taxonomy Classification in Computer Science Assessment

    Alessio Ferrato, Carla Limongelli, Daniele Schicchi and Davide Taibi

  55. A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation

    Ying Zhang, Ningxi Cheng, Yizhu Gao, Geng Yuan, Nicholas Young, Hongmei Li and Xiaoming Zhai

  56. MCQ Difficulty Prediction through Modeling Learner Heterogeneity using Data-Driven Cognitive Profiling

    Dhriti Krishnan and Jaromir Savelka

  57. Can Large Language Models Learn to Grade Like Teachers? A Few-Shot Study on Open-Ended Assessment

    Valentina Scorza, Giacomo Cassano and Nicoletta Di Blas

  58. Designing for Productive Disagreement in Collaborative STEM Argumentation

    Jennifer Kleiman, Yizhu Gao, Xin Xia, Zhaoji Wang, Zipei Zhu, Jongchan Park and Xiaoming Zhai

  59. Minimizing Data Exposure in Higher Education LLM Applications: Evaluating the Model Context Protocol (MCP) for Preserving Privacy in Academic Advising

    Bill Dong and Jessica Liebowitz

  60. Re-imagine Knowledge Tracing with Student Agency in a Generative AI Language Tutor

    Jiachen Gong, Anshula Bali, Ishrat Ahmed, Michelle Banawan and Danielle McNamara

  61. From Predictive Models to Actionable Recommendations: A Survey of Counterfactual Approaches in Student Dropout

    Raylan Santos, Cristian Cechinel, Emanuel Queiroga and Thales Vieira

  62. Simulating Validity: Modal Decoupling in MLLM Generated Feedback on Science Drawings

    Arne Bewersdorff, Njla Yuruk and Xiaoming Zhai

  63. Confidence-Aware Automated Assessment of Student-Drawn Scientific Models

    Luyang Fang, Yingchuan Zhang, Jongchan Park, Zhaoji Wang, Ping Ma and Xiaoming Zhai

  64. Exploring Question Isomorphism through Different Numerical and Computational Representations

    Matheus Valentim de Barros and Max Fowler

  65. A Generator–Aligner Pipeline for LLM-Based Situational Judgment Test Generation

    He Xinyi and Feng Ji

  66. When Can We Trust AI Coding of Student-Generated Text? A Committee-Based Approach to Diagnosing Agreement and Uncertainty at Scale

    Fanjie Li, Madison Lee Mason, Daniel T. Levin and Alyssa Friend Wise

  67. From Rule-Based to LLM-Based Agents: A Calibrated Simulation Framework for Classroom Social Networks

    Kyosuke Takami and Masahiko Haruno

  68. TemporLA: Bringing Research-grade Temporal Insights to Educators using a GenAI-powered Dashboard

    Debarshi Nath, Yash Desai, Ramkumar Rajendran and Dragan Gasevic

  69. FairDetect: Training-Time Fairness for AI-Generated Text Detection via Perplexity-Adaptive Focal Loss

    Salima Lamsiyah

  70. From Tools to Teammates: Budgeted Verification for Reliable LLM Tutoring Actions

    Partha Sarathi Purkayastha

  71. Estimating Learners' Skill Acquisition Without Temporal Information

    Ryosuke Nagai, Kyohei Atarashi, Koh Takeuchi, Jill-Jênn Vie and Hisashi Kashima

Track

Human Aspects of AIED

Full Papers

  1. Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?

    Conrad Borchers, Valdemar Švábenský, Sandesh K. Kafle, Kevin K. Tang and Jan Vykopal

  2. From Exploration to Creation: How Teachers Orchestrate AI-Supported Learning in History Classrooms

    Hyungwoo Song, Kieun Park and Bongwon Suh

  3. Explaining, Solving, or Generating? Functional Differences in Students’ AI Use in a University Database

    Piret Luik

  4. Leveraging Human-AI Collaboration for a Passage-Based Question Authoring Tool

    Mehmet Arif Demirtas, Sungjin Nam and Gabrielle Griffin

  5. When AI Listens: Perceived Empathy, Trust, and Acceptance in Human–AI Supportive Interactions

    Eryka Probierz, Anita Gałuszka, Tomasz Grzejszczak and Adam Gałuszka

  6. Tailoring AI-Driven Reading Scaffolds to the Distinct Needs of Neurodiverse Learners

    Soufiane Jhilal, Eleonora Pasqua, Caterina Marchesi, Riccardo Corradi and Martina Galletti

  7. Should AI Ask First? Investigating the Effects of Proactive vs Reactive AI Mentoring in Self-Directed Learning

    Khaoula Otmani, Anna Bodonhelyi, Babette Bühler and Enkelejda Kasneci

  8. Uncertain AI – Better AI? Effects of Uncertainty Indicators in Collaborative Learning with a Human Peer or an Artificial Intelligence

    Anna Radtke and Lenka Schnaubert

  9. Using LLMs to score mathematics lessons for instructional quality with the UTOP

    Katie Bainbridge, Jess Vitale and Candace Walkington

  10. Making AI Planning Visible: Narrative-Centered Goal-Directed AI Reasoning to Foster AI Literacy

    Bradford Mott, Jessica Vandenberg, Srijita Chakraburty, Anne Ottenbreit-Leftwich, Emma Braaten, Cindy Hmelo-Silver, Krista Glazewski and James Lester

  11. A Comparative Study of Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics

    Suqing Liu, Runlong Ye, Christopher Eaton, Bogdan Simion and Michael Liut

  12. Teachers’ Perspectives on Decision-Making in AI-Supported Classrooms: A Cross-Cultural Study of Germany and Japan

    Tomohiro Nagashima, Shintaro Sato, Mirella Hladký, Niklas Scholz and Lisa Siegrist

  13. AI Partners that Support Productive Uncertainty within “Jigsaw” Activities during Small Group Collaborative Learning in Classrooms

    Mon-Lin Monica Ko, Chelsea Chandler, Sierra Rose, Brooklyn Cline, Emily Watts, Reitman Jason, Peter Foltz and Sidney D'Mello

  14. Impact of Multimodal and Conversational AI on Learning Outcomes and Experience

    Karan Taneja, Anjali Singh and Ashok Goel

  15. From Examples to Rules? Exploring Inductive Reverse Engineering and Deductive Few-Shot Coding via LLMs for Qualitative Data Analysis

    Zifeng Liu, Anupom Mondol, Xinyue Jiao, Jie Chao, Linlin Li and Wanli Xing

  16. AI-Driven Analytics of Team-Teaching Talk: Acoustic Patterns across Experience, Cohorts and the Learning Design

    Yuchen Liu, Roberto Martinez-Maldonado, Riordan Alfredo, Paola Mejia-Domenzain, Dwi Rahayu and Sadia Nawaz

  17. AI-Human Revoicing in Educational Dialogue: Developing Students’ Academic Voice with an LLM-based Chatbot

    Natasha Rappa and Kok-Sing Tang

  18. Comparing the Impact of Pedagogy-Informed Custom and General-Purpose GAI Chatbots on Students’ Science Problem-Solving Processes and Performance Using Heterogeneous Interaction Network Analysis

    Hanyu Su, Huilin Zhang and Shihui Feng

  19. From Auxiliary Tool to Teaching Partner: A Human-AI Co-Teaching Model for Primary Programming Classrooms

    Zhenni He, Patrick Pang, Ka-Meng Siu and Qizhong Ou

  20. Understanding Teacher Revisions of Large Language Model-Generated Feedback

    Conrad Borchers, Luiz Rodrigues, Newarney Torrezão da Costa, Cleon Xavier Pereira Junior and Rafael Ferreira Mello

  21. Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection

    Seyed Parsa Neshaei, Richard Lee Davis and Tanja Käser

  22. “GenAI Defaults to Bias!” Gamify AI literacy through Reflections on Prompts

    Qianou Ma, Megan Chai, Yike Tan, Jihun Choi, Jini Kim, Erik Harpstead and Tongshuang Wu

  23. A Framework for LLM Integration in Secondary Education: Insights from Computing Teachers

    Heidi Reichert, Tahreem Yasir, Malvika Satyavolu and Tiffany Barnes

  24. Who Benefits From Which Voice? Group-Differentiated Effects of Teachable Agent Voice Emotion Design on Achievement Emotions and Engagement Patterns in K-12 Mathematics Learning

    Hai Li, Wanli Xing, Chenglu Li and Bailing Lyu

  25. Supporting Scientific Sensemaking under Uncertainty in Inquiry-Based Learning with an AI-based Chatbot

    Ga Young Lee and Hyo-Jeong So

  26. Teaching Multivariational Reasoning through AI-Guided Inquiry in Interactive Simulations

    Ekaterina Shved, Engin Bumbacher, Seyed Parsa Neshaei and Tanja Käser

  27. 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 and Dragan Gašević

  28. I’m Not Stuck – I’m Learning: Operationalizing Self-Efficacy Trajectories in Large-Scale AI Learning Environments

    Buwon Hong, Eun Shim, Heesoo Ko and Hyo Jeong Shin

  29. Bidirectional Co-Regulation Mechanisms Between Teachable Agents and Students: Authority-Agency Evolutionary Characteristics and Their Link to Learning Gains Through Time Series Dynamics

    Hai Li, Wanli Xing, Chenglu Li, Taehyun Kim, Yukyeong Song and Jinhee Kim

  30. Beyond Correctness: A Stage-Aware Framework for Decoding Student Problem-Solving Processes from Handwriting Trajectories

    Zhonghua Sheng, Shuyu Shen, Qiqi Duan, Leixian Shen, Xiaofu Jin, Pan Hui, Huamin Qu and Yuyu Luo

  31. Catalyst Without Convergence: Analyzing Student–AI Interaction Trajectories in Knowledge Building

    Guojing Zhou, Shaoming Chai and Zhenhai He

  32. Embedding Pedagogical Principles into LLMs: A Field Study of AI-Generated Feedback in a Programming Serious Game

    Matthieu Branthôme, Badmavasan Kirouchenassamy, Sébastien Lallé, Sébastien Jolivet, Mathieu Muratet and Amel Yessad

  33. Learning from Giants: Distilling Attribute-Aligned LLM Evaluators for Educational Essay Assessment

    Savita Bhat and Vasudeva Varma

  34. Learning about Artificial Intelligence in Algebra 1 Classes in Virtual School Settings

    Linlin Li, Jie Chao, Trudi Lord, Kelly Collins, Rebecca Ellis, Wanli Xing and Yuanlin Zhang

  35. Ordered Network Analysis of Epistemic Emotions during Collaborative Problem Solving

    Sifatul Anindho, Videep Venkatesha, Jaclyn Ocumpaugh and Nathaniel Blanchard

  36. From Intention to Text: AI-Supported Goal Setting in Academic Writing

    Yueling Fan, Richard Lee Davis and Olga Viberg

  37. Tools, Teammates, or Threats? How Pedagogical Reasoning Shapes Novice Designers' Judgments About AI in Instruction

    Steven Moore

  38. Analyzing Middle School Students' Dialogue and Behaviors during Collaborative AI Chatbot Development Using Ordered Network Analysis

    Shan Zhang, Andres Felipe Zambrano, Xiaoyi Tian, Yukyeong Song, Anthony F. Botelho, Kristy Elizabeth Boyer, Maya Israel and Shiyan Jiang

  39. Constructing Acceptable Use: Instructor Boundary‑Setting with Generative AI

    Vanessa Dennen and Yasin Yalcin

  40. From Information Foraging to Making Sense of the Information: Decoding Mindset-Driven Learning in Computer Based Learning Environments

    Indrayani Nishane, Vishwas Badhe, Jyoti Shaha, Nisumba Soodhani, Aditya Rajmane, Ramkumar Rajendran and Sridhar Iyer

  41. Modality Matters: How Text, Audio, and Video Interactions Shape Student Engagement and Performance with AI Tutors in K–12 Mathematics

    Tyree Cowell, Kole Norberg, Rae Bastoni, Unekwu Shaibu, April Murphy, Stephen Fancsali, Steve Ritter and Husni Almoubayyed

  42. Integrating Educator-designed AI Tools in Classrooms: Teachers’ Practices, Perceptions, and Concerns

    Nabil Al Nahin Ch, Aaron Wong, Betsy Corcoran, Hilah Barbot, Yusuf Ahmad and Caitlin Mills

  43. Trust and Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators

    Griffin Pitts, Neha Rani and Weedguet Mildort

  44. Genie Training the Wisher: Six-Dimension Task-Agnostic AI Coaching for Learning Transferable LLM Prompting Skills

    Andrea Martinenghi, Sabrina Guidotti, Gregor Donabauer, Cansu Koyuturk, Ariel Ortiz Beltran, Emily Theophilou, Riccardo Chimisso, Markus Bink, Franca Garzotto, Davide Taibi, Martin Ruskov, Udo Kruschwitz, Davinia Hernandez-Leo and Dimitri Ognibene

  45. What Do Future Teachers Look For in Movement-Based Learning? Implications For Multimodal Systems

    Allison Poh and Ivon Arroyo

  46. How Linguistic Diversity Impacts Multilingual Automated Scoring in Large-Scale Assessments

    Hyo Jeong Shin, Nico Andersen, Euigyum Kim, Andrea Horbach and Fabian Zehner

  47. Delayed Start Behavior as a Cross-Subject Predictor of Learning Outcomes

    Jordan Gutterman, Ashish Gurung, Lee Branstetter, Kenneth Koedinger and Vincent Aleven

  48. Seeing the Big Picture: Evaluating Multimodal LLMs’ Ability to Interpret and Grade Handwritten Student Work

    Owen Henkel, Bill Roberts, Doug Jaffe and Laurence Holt

  49. Beyond Generic Answers and Empty Praise: The Differential Impact of AI Companionship Roles on Social-Emotional Learning in University Student Intervention

    Shun-Lam Chan, Jinglun Zhao, Jiaxuan Gao, Xiaofei Lyu and Jun Wei

  50. Unpacking Vibe Coding: Help-Seeking Processes in Student-AI Interactions While Programming

    Daiana Rinja, Eduardo Araujo Oliveira, Sonsoles López-Pernas, Mohammed Saqr, Marcus Specht and Kamila Misiejuk

  51. How Annotation Trains Annotators: Competence Development in Social Influence Recognition

    Maciej Markiewicz, Beata Bajcar, Wiktoria Mieleszczenko-Kowszewicz, Aleksander Szczęsny, Tomasz Adamczyk, Grzegorz Chodak, Karolina Ostrowska, Aleksandra Sawczuk, Jolanta Babiak, Jagoda Szklarczyk and Przemysław Kazienko

  52. Reflective Dialogue or Prompt Refinement? Effects of Tutor Scaffolding on Students' Independent LLM Use for Programming

    Jerome Brender, Laila El-Hamamsy, Kim Uittenhove, Aitor Perez, Patrick Jermann, Francesco Mondada and Engin Bumbacher

  53. Dialogue Act Patterns in GenAI-Mediated L2 Oral Practice: A Sequential Analysis of Learner–Chatbot Interactions

    Liqun He, Shijun Cindy Chen, Mutlu Cukurova and Manolis Mavrikis

  54. Learner-Stage-Aware AI Tutor Improves Learning Processes: Field-Experimental Evidence

    Maria Poiaganova, Tino Endres, Cesarina Criscione, April Wang and Radu Tanase

Short Papers

  1. Human Oversight Is Not Neutral: How AI Grades Shape Human Grading Decisions

    Chenyan Zhao and Mariana Silva

  2. 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, 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

  3. Learning More with Less: LLM-Supported Self-Explanation Enhances Transfer in Calculus

    Eason Chen, Xinyi Tang, Yvonne Zhao, Meiyi Chen, Meryam Elmir, Elizabeth Mclaughlin, Nina Yuan, Isabel Wang, Shyam Agarwal, Jared Cochrane, Jionghao Lin, Tongshuang Wu and Ken Koedinger

  4. Exploring Teachers’ Perspectives on Using Conversational AI Agents for Group Collaboration

    Prerna Ravi, Carúmey Stevens, Beatriz Flamia, Jasmine David, Brandon Hanks, Hal Abelson, Grace Lin and Emma Anderson

  5. Leveraging a Multi-Agent LLM Framework for Academic Reading Support: Design and Evaluation of the SmartRead Platform

    Hai Li and Bo Pei

  6. ArguMath: AI-Simulated Environment for Pre-Service Teacher Training in Orchestrating Classroom Mathematics Argumentation

    Jiwon Chun, Yuling Zhuang, Armanto Sutedjo, Colin Xu, Rong Ren and Meng Xia

  7. GenAI-supported Mathematical Storytelling: How Deep Is Optimal? A Three-Group Study of Cognitive Gains

    Jingyuan Qiu, Sheng Chang, Wei Wei and Ziqi Chen

  8. Faculty Response to Generative AI: Attitudes, Change in Practice and Policy towards Students' Use

    Hagit Meishar-Tal, Tami Seifert and Miri Shonfeld

  9. Mathematics Teachers’ Interactions with a Multi-Agent System for Personalized Problem Generation

    Candace Walkington, Theodora Beauchamp, Fareya Ikram, Merve Koçyiğit Gürbüz, Fangli Xia, Morgan Lee and Andrew Lan

  10. Physiological and Semantic Patterns in Medical Teams Using an Intelligent Tutoring System

    Xiaoshan Huang, Conrad Borchers, Jiayi Zhang and Susanne Lajoie

  11. AI Is Available, Partnership Is Optional: Student Agency in Human–AI Interaction

    Ricardo Alonso Manjarrez Retes, Sofia Gabrielle Escalona, Makenzie Webster, Francine Mezzomo Giotto and Christabel Wayllace

  12. Hand movements and learning: Movement profiles of learning-by-making

    Megha Bansal, Harshil Safi, Saloni Shinde, Madhu Vadali, Barbara Bruno and Aditi Kothiyal

  13. Can LLMs Support Formative Assessment? Comparing LLM-Based and Teaching Assistant–Based Assessment in Programming Education

    Eleni A. Dimitriadou, Sondre Aune Stokke, Sebastian Hegreberg, Andy Nguyen and Michail Giannakos

  14. Representing Uncertainty in Open Learner Models: Supporting User Interpretation

    Carrie Demmans Epp, Guher Gorgun, Jai Riley, Yalmaz Abdullah and Kaitlynn Sisson-Pau

  15. CLEM: Constrained Learning Environment Models for Simulating Human Cognitive Processes

    Zheng Fang

  16. Scaling Socratic Dialogue with Generative AI: Understanding Implications for Student Engagement and Learning Outcomes

    Jeonghyun Lee, Meryem Yilmaz Soylu, Jui-Tse Hung, Gayane Grigoryan, Christopher Cui and Daniel Forsyth

  17. Shaping Credibility Judgments in Human–GenAI Partnership via Weaker LLMs: A Transactive Memory Perspective on AI Literacy

    Md Touhidul Islam, Mahir Akgun and Syed Billah

  18. Does the TalkMoves Codebook Generalize to One-on-One Tutoring and Multimodal Interaction?

    Corina Luca Focsan, Marie Cynthia Abijuru Kamikazi, Tamisha Thompson, Jennifer St. John, Kirk Vanacore, Danielle R. Thomas, Kenneth R. Koedinger and René F. Kizilcec

  19. Back to the Future: What Can Remixing Teach Us About Coding in the Age of AI

    Giovanni Troiano, Daniel Escobar Morales, Guillermo Castro Pons, Gregorio Robles and Casper Harteveld

  20. Beyond One-Size-Fits-All: Personalizing Computational Proxies of the Zone of Proximal Development Through Help-Seeking Behaviors

    Kaimao Sheng and Irene-Angelica Chounta

  21. Using Learning Progressions to Guide AI Feedback for Science Learning

    Xin Xia, Nejla Yuruk, Yun Wang and Xiaoming Zhai

  22. Developing Authentic Simulated Learners for Mathematics Teacher Learning: Insights from Three Approaches with Large Language Models

    Jie Cao, Ha Nguyen, Selim Yavuz, Boran Yu, Shuguang Wang, Pavneet Kaur Bharaj and Dionne Cross Francis

  23. Investigating How Collaborative Conversational Agents Influence the Relationship of Affective and Cognitive Engagement in Student Dialogues

    Elissavet Papageorgiou, Pantelis M. Papadopoulos, Ahsen Çini, Athanasios Stoidis, Adelson de Araujo and Maryam Amir Haeri

  24. Tracing Prompt-Level Interaction Trajectories to Understand Student Learning with LLMs in Programming Education

    Tianyu Shao, Miguel Feijóo-García, Yi Zhang, Hugo Castellanos, Tawfiq Salem, Alejandra Magana and Tianyi Li

  25. Operationalizing Adaptive Scaffolding: A State-Driven Design Framework for Hybrid Learning with Digital Teachers

    Xiaokang Lei, Ching Christie Pang, Zesheng Hong, Yuyang Jiang, Xin Tong and Pan Hui

  26. Gender Differences in Learning and Test Taking Experiences with Digital Game-Based Assessment

    Aditi Haiman, Esma Kahveci, Alessandro Pagano, Angie Chi and Bruce McLaren

  27. Effects of Job Task Focused Career Education for Human-AI Coexistence on Students' AI Career Interest and Career Adaptability

    Takaki Kondo, Shota Higuchi, Akira Maeda, Hiroto Jitsukawa, Kento Nakamura, Hiro Kawamura and Yuki Watanabe

  28. Human–AI Collaboration Reconfigures Group Regulation from Socially Shared to Hybrid Co-Regulation

    Yujing Zhang, Xianghui Meng, Shihui Feng and Jionghao Lin

  29. From Feasibility to Generalization in the Field: Using an MR-Based Teacher Orchestration Tool in AI-Supported K-12 Classrooms

    Qiao Jin, Yang Zhan, Will Morgus, Kyle Price, Michael Sandbothe, Jonathan Sewall, Octav Popescu, Susan Berman, Stephen E Fancsali, Steve Ritter, Ken Holstein and Vincent Aleven

  30. ReflectEd: Evaluating Reflection-Driven Learning in an AI-Assisted System

    Md Nazmus Sakib, Ishika Tarin, Naga Manogna Rayasam, Manas Gaur and Sanorita Dey

  31. Who Do Learners Ask for Help? Modeling Social Role Diversity in Agentic AI for Educational Help-Seeking

    Richard David, Sachin Singh and Dr. Sumit Kalra

  32. How Teacher-Expert Collaboration Shapes the Quality of AI-Supported Scientific Inquiry Learning

    Xiaofei Zhou, Jiameng Wei, Clayton Cohn, Gautam Biswas, Guanliang Chen and Zhen Bai

  33. Learners’ Adaptability to GenAI Scaffolding in Self-Regulated Learning: Temporal Analytics

    Saleh Ramadhan Alghamdi, Mladen Rakovic, Yizhou Fan, Guanliang Chen, Kaixun Yang, Xinyu Li and Dragan Gasevic

  34. Computational Thinking Development in AI Agent Creation: A Mixed-Methods Study

    Yimeng Sun, Haiyang Xin, Qiannan Niu and Shuang Li

  35. Cognitive Processes Underlying Divergent Levels of Performance and Agency in AI-Assisted Programming

    Tianlong Zhong, Gaoxia Zhu, Yuhan Wang and Dengyin Li

  36. Conceptualizing the depth and breadth of AI Literacy

    Otto Segersven, Lechen Zhang, Joonas Merikko and Linda Mannila

  37. Exploring Teacher Use of an AI Support Bot during an Asynchronous Training Module

    Mahliya Yibulayin Ibrahim and Nikki Lobczowski

  38. Uncritical but Overconfident? How Learners Engage with AI-Generated Images of Scientists

    Valentina Nachtigall, Maximilian Krug and Hanall Sung

  39. Pedagogical Values Mediate Teacher Perceptions on Using AI to Support Students’ Learning of Scientific Explanations

    Xunyi Gao, Shamya Karumbaiah, Yitong Fu and Jais Brohinsky

  40. Automated Evaluation of Student-Chatbot Interactions in Climate Education Using Large Language Models

    Eceay Çeltik, Bora Şenceylan, İbrahim Delen and Gökhan İnce

  41. AI in the Wild: A Large-Scale Analysis of College Students’ Authentic Interactions with Generative AI

    Taelin Karidi, Ofra Amir and Ido Roll

  42. AI Evaluation and Feedback to Support Middle-School Students’ Scientific Argumentation and Reasoning

    Field M. Watts, Lei Liu, Teresa M. Ober, Yi Song, Euvelisse Jusino-Del Valle, Yun Wang and Xiaoming Zhai

  43. Democratizing Foundations of Problem-Solving with AI: A Breadth-First Search Curriculum for Middle School Students

    Griffin Pitts, Kimia Fazeli, Tirth Bhatt, Jennifer Albert, Marnie Hill, Tiffany Barnes, Shiyan Jiang and Bita Akram

  44. Writing Instructors’ Pedagogical Decisions About Generative AI

    Sydney Miller and Nigel Bosch

  45. Designing Scenario-Based Tasks for Assessing AI Literacy

    Caitlin Tenison, Jesse Sparks, Teresa Ober, Tenaha O'Reilly, Michael Suhan, Beata Beigman Klebanov and Diego Zapata-Rivera

  46. SPARK: A Student-Centered Framework for Teaching Natural Language Processing in the Age of Large Language Models

    Salima Lamsiyah

  47. Analyzing TA Edits of LLM Responses to Live Lecture Q&A

    Meenakshi Mittal, Christopher Mach, Kaden Tang and Narges Norouzi

  48. A Matter of Perspective: Contrasting User and Subject-Matter Experts’ Sensemaking of LLM Feedback on Instructional Discourse

    Chelsea Brown, Chelsea Chandler, Sandra Sawaya and Sidney Dmello

  49. From Empirical Replication to Hypothesis Generation: Concretizing Our Understanding of Learning with a Computational Model of ICAP

    Yiliu Pan, Sina Rismanchian and Shayan Doroudi

  50. Who’s Behind the Feedback? Students’ Use of AI and Perceived Feedback Usefulness When the Evaluator May Be Human or AI

    Libor Juhaňák, Veronika Štolfová and Monika Řičicová

  51. Beyond the Chat Window: A Trace-Based Positioning Analysis of Student-GenAI Interactions in Academic Writing

    Nuo Chen, Wanying Zhong, Kejie Shen and Yizhou Fan

  52. Evaluating Learner Representations for Differentiation Prior to Instructional Outcomes

    Junsoo Park, Youssef Medhat, Htet Phyo Wai, Ploy Thajchayapong and Ashok K. Goel

  53. Visual Attention Transitions and Self-Regulated Help Seeking in Programming Comprehension

    Takuya Iwanaga, Huiyong Li, Boxuan Ma and Chengjiu Yin

  54. Patterns of Ethical Reasoning Among Middle School Students: Misconceptions and Mental Models of Transparency and Explainability in AI Systems

    Yun Dai

  55. Supporting K-12 Teachers in the Presidential AI Challenge: A Case Study of a Faculty-Mentored Workshop for AI Tool Creation

    Yukyeong Song, Rachel Wong, Jinhee Kim, Jewoong Moon, Edward Patton, Vinhthuy Phan, Jennifer McCullum and Jess Day

  56. A randomized blind comparison of SME and LLM-generated active learning tasks for math classes

    Katie Bainbridge, Jack Strelich, Debshila Basu Mallick and Richard Baraniuk

  57. Scaffolding Epistemic Agency: Evaluating AI-Partnered Affective Feedback for Emotional Regulation in Knowledge Building

    Alwyn Vwen Yen Lee

  58. To Use or Not to Use: Investigating Student Perceptions of Faculty Generative AI Usage in Higher Education

    Jie Gao and Jiayi Zhang

  59. Mitigating Preservice Teachers' Teaching Anxiety with Generative Student Agents: A Quasi-Experimental Study on MetaClass

    Yuanyuan Li, Zi-Linyi Fu, Sijia Ma, Yihe Zeng, Yufei Zhu, Fei Jiang, Gong Wang and Xiaoqing Gu

  60. Supporting Socially Shared Regulation Through Human-AI Collaboration in Pre-service Teacher Education

    Blessed Mhungu

  61. When Teachers use AI Chatbtos and are Trained for it: Impact on Learning Design Quality and Cognitive Effort.

    Gerti Pishtari, Florian Gnadlinger and Tobias Ley

  62. Curiosity, prior achievement, and interaction patterns: Heterogeneity of generative AI effects uncovered by causal inference

    Farhan Ali and Yehong Yang

  63. How Do Experts Use Generative AI in Collaborative Problem Solving?: Expert-Novice Comparison

    Bunichi Otaki, Ritsuko Oshima and Jun Oshima

  64. Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning

    Moiz Imran and Sahan Bulathwela

  65. Scaffolding for Co-regulated Learning in Generative AI Supported Learning Systems: A Scoping Review

    Sienna Cai and Mohammad Masbaul Alam Polash

  66. Bridging AI Prompting and Design Thinking: Behavioral Patterns and Pedagogical Insights from a Design Workshop

    Wangda Zhu, Fu Zhang and Chen Li

  67. Adversarial Assignment Perturbation: Effects on Help-seeking Behaviors in Student Generative AI Chatbot Use

    Sam Gilson, Benyamin Tabarsi and Tiffany Barnes

  68. Complementing Human Instruction: Student Interaction Patterns with a Pedagogically Aligned AI Teaching Assistant

    Shu-Yi Hsu, Jensen Cassity, Cheng Yu Lin and Yipu Zheng

  69. Divergent and Convergent Thinking During the Creative Thinking Process

    Rut Ston and Ido Roll

  70. An Attitude Paradox? Examining Ability Beliefs and Persistence Intentions in a Middle School Conversational AI Learning Experience

    Xiaoyi Tian, Shan Zhang, Yukyeong Song, Tom McKlin, Kristy Elizabeth Boyer and Maya Israel

  71. Who Benefits from LLM-Generated Learning Support Messages? Causal Evidence on Treatment Effect Heterogeneity

    Aylin Ozturk, Gati Aher, Tom Mitchell, Mustafa Kemal Birgin and Hüseyin Kayhan

  72. Epistemic Agency, AI Knowledge and Performance in Generative AI–Supported Data Analytics Tasks

    An-Ching Shih, Yuan-Hsuan Lee and Jiun-Yu Wu

  73. Linking Affective Experience and AI Trust: The Role of a PERMA-based AI Agent in Higher Education

    Jiachen Fu, Jiaoyang Ding and Yanjie Song

  74. An Adaptive Multi-Agent Learning Environment for Interprofessional Communication Training in Nursing Education

    Eunyoung Kim, Hyosung Park, Subin Yu, Jiyeong Shin and Hyo-Jeong So

Track

Societal Aspects of AIED

Full Papers

  1. Scaffolding Critical Engagement with GenAI: Transforming Ethnic Minority Preparatory Students’ Collaborative Discourse in Prompt Engineering Tasks

    Deliang Wang and Cunling Bian

  2. From Verdicts to Maps: Reimagining AI Assessment for ADHD through a Strength-Based Lens

    Qiaoxin Yang

  3. BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation

    Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai and Ninghao Liu

  4. Decomposing the Fairness Gap: Disentangling Data Scarcity from Validity Bias in AI-Driven Formative Assessment

    Xuanyu Liu and Wen Zhu

  5. From Barriers to Actions: A Thematic Analysis of Teachers’ Perceived Obstacles and Support Needs for AI Integration in K–12 Education

    Yuki Nagae, Lechen Zhang, Jalal Nouri and Linda Mannila

  6. How Students Interpret Representational Cues in AI-Generated Educational Illustrations

    Jihyun Rho and Shamya Karumbaiah

  7. Evaluating the Impact of Workshop Interventions on AI Literacy and STEM Career Aspirations with Australian Secondary Students

    Christian Bergh, Alexandra Vassar, Natasha Banks, Jessica Xu and Jake Renzella

  8. Implementing a Statewide AI Curriculum: One Brazilian Experience

    Cristiano Galafassi, Rosa Vicari, Christian Brackmann and Lucas Eishi Pimentel Mizusaki

  9. Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education

    Danielle R. Thomas, Conrad Borchers, Kirk Vanacore, Kenneth R. Koedinger and René F. Kizilcec

  10. From Tool to Teammate? Negotiating Accountability and Disclosure in Academic Generative AI Use

    Diane Vassallo

  11. Mapping AI Literacy: How Do DigComp 3.0 and OECD/EC AILit Inform K–12 Curriculum Integration Decisions?

    Rubing Deng, Hou Yee Tsi, Jiahui Zheng and Sze Wai Mok

  12. A Benchmark for Gender Bias in Large Language Model Feedback on Student Essays

    Yishan Du, Conrad Borchers and Mutlu Cukurova

  13. Supporting the Text Entry of nêhiyawêwin for Lifelong Learners

    Daniela Teodorescu, Guher Gorgun, Delaney Lothian Lothian, Jialiang Yan, Yalmaz Abdullah, Hongwei Wang, Minghao Cai and Carrie Demmans Epp

  14. Toward Fair and Scalable Assessment of Socially Shared Regulation of Learning with Large Language Models

    Yang Jiang, Yi Song, Ido Roll, Jiangang Hao, Chunyi Ruan and Lei Liu

  15. From Ethical Discourse to Empirical Evidence: How Ethics Is Operationalized in Studies on Generative AI in Higher Education

    Revekka Kyriakoglou, Anna Pappa, Valéry Psyché, Sébastien Lallé, Guilherme Medeiros-Machado, Nour El Mawas, Sonia Proust-Androwkha, Lamprini Chartofylaka and Anis Boubaker

  16. Territorial Fairness in Large-Scale Academic Risk Prediction: Comparing National and State-Level Machine Learning Models in Brazil

    Tobias Vieira Francisco, Abílio Nogueira Barros, Felipe Vieira Roque, Tiago Paulino, Augusto Schmidt, Flavia Galvani, Rafael Oliveira, Leonardo Brandão Marques, Diego Dermeval, Pedro Barreto, Anita Gea Martinez Stefani, Marisa de Santana da Costa, Emanuel Marques Queiroga, Elthon Oliveira, Cristian Cechinel and Thales Vieira

  17. What Children’s AI Literacy Books Teach About Artificial Intelligence: A Content Analysis Using the AI4K12 Framework

    Feiwen Xiao, Jiayi Zhang, Andres Zambrano and Shiyan Jiang

  18. Community Futures: Hybrid and Situated Critical AI Literacy

    Supratim Pait, Sylvia Janicki, Yuhan Hou, Michael Nitsche and Noura Howell

  19. What Constitutes AI Harms and/or Unfairness? An Empirical Analysis of Teacher Deliberation with a Fairness Elicitation Scaffold

    Shamya Karumbaiah and Yaxuan Yin

  20. A Survey of AI Misconception and Adoption Among Indonesian K-12 Teachers

    Alham Fikri Aji, Afifa Amriani, Rendi Chevi, Ayu Purwarianti and Derry Wijaya

  21. Learning Components as Intermediary for Educational Standards Crosswalks

    Rabia Turan, Sadie Gill, Desiree Stanley and Parva Thakkar

Short Papers

  1. Identifying High-Confidence Social Biases in LLMs for Trustworthy Conversational Tutoring Agents

    Aitor Arronte Alvarez and Naiyi Xie Fincham

  2. When LLMs Give Voting Advice: Bias, Coherence, and Educational Risk

    Omed Abed, Rabia Basri, Patrick-Benjamin Bök and Matteo Große-Kampmann

  3. Personalization over Privacy? Implications of the Privacy-Personalization Trade-Off on Future Use of Intelligent Tutoring Systems

    Adrienn Toth, Linda Fanconi, Noé Zufferey and Verena Zimmermann

  4. Introducing Adolescents to the Social Dimensions of AI through Story-Driven Game-Based Learning

    Jessica Vandenberg, Bradford Mott, Carlos Penilla, James Lester and Elizabeth Ozer

  5. Dual Mechanisms of Demographic Bias in LLM-based Essay Scoring: A Mechanistic Interpretability Analysis and Mitigation Approach

    Kyudong Park, Heewon Min, Chaewon Lee and Ki-Young Shin

  6. Students, AI, and the Future of Higher Education: A Scoping Review of Perceptions and Concerns

    Mohammadreza Farrokhnia, Ghasem Salimi and Amirhossein Ahmadshahi

  7. Decoding Student Dialogue: A Multi-Dimensional Benchmark and Bias Analysis of Large Language Models as Annotation Tools

    Jie Cao, Zhanxin Hao and Jifan Yu

  8. Measuring AI Leadership in Education: Development and Validation of the AI Educational Leadership Competency Scale (AIELCS) for Administrators

    Xiaohang Luo, Ran Ju, Yingqi Wang and Jingran Xu

  9. From Speculation to Evaluation: Exploring Values in Design Fictions about AI-Enhanced Education

    Alina Pees, Leo Oelscher, Marcus Specht, Christian Rietz and Florence Kristin Lehnert

  10. Offline-First AIED: An Architectural Blueprint for On-Device LLM Integration in Low-Resource Educational Contexts

    Aristoteles Barros, Mateus Monteiro, Ermesson Lima, Ig Ibert Bittencourt, Seiji Isotani, Luiz Rodrigues and Diego Dermeval

  11. Designing Unplugged AIED Systems: An Elastic Offline-First Mobile Application for Pedagogical Support

    Matheus Arataque Uema, Talita de Paula Cypriano de Souza, Luiz Rodrigues, Ig Ibert Bittencourt, Diego Dermeval and Seiji Isotani

  12. When Features Misrepresent Underrepresented Learners: Auditing Algorithmic Bias with Differentially Expressive Features

    Jaeyoon Choi and Shamya Karumbaiah

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  17. Biblometrics Insights on the Trends of Artificial Intelligence and Educational Commercialization in Early Childhood Educational Research

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  18. AI That Helps—or Widens Gaps? Equity Impacts of a Teaching-by-Learning Tutor in K–12 Mathematics

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