Accepted Papers
Doctoral Consortium
Accepted papers showcase doctoral research across domains relevant to AIED.
Accepted Papers
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Building Regulation Capacity in Human–AI Collaborative Learning: A Human-Centred GenAI System
Yujing Zhang and Jionghao Lin
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Designing a Lightweight AI Tutor for Pedagogically Grounded Classroom Use
Erica Perseghin and Gian Luca Foresti
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Relatable Pedagogical Agents: Teacher-Informed Design for Learner Characteristics
Samuel Hum
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AI-Supported Regulation Processes in Collaborative Writing
Stella Kolarik
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An LLM-Powered Embodied VR Tutor for Smoking Cessation: SRL via Reflective Dialogue
Fatimah Alshahrani and Alexandra I. Cristea
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Toward Multi-Signal Dropout Prediction in Work-Study Programs: Integrating Behavioral and Attitudinal Signals Through NLP
Duaa Baig, Diana Nurbakova, Sylvie Calabretto and Baba Mbaye
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Teachers’ Repairs of Artificial Conversations in Superdiverse Adult Education
Enrico Vignando
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Towards Trustworthy Accessible STEM Learning: A Comprehensive Research Framework for Formula Vocalization
Xueyi Li and Zitao Liu
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AI among Secondary Vocational Education Teachers
Veronika Štolfová, Jiří Zounek and Libor Juhaňák
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Bridging Explainable Modeling and Actionable Feedback: Multimodal AI-Augmented Pedagogical Interventions for Developing Active Listening Skills in Collaborative Problem Solving
Xiaomeng Huang and Xavier Ochoa
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Teach to Learn AI Literacy: A Teachable Agent with Evaluator-Guided Scaffolding and Analytics
Zhihan Guo and Jionghao Lin
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Theory-informed Design of Personalized Computational Proxies for Learning in Intelligent Learning Environments
Kaimao Sheng
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AI-Driven Analytics of Team Teaching: Understanding and Supporting Teachers' Spatial Pedagogy Behaviours
Yuchen Liu, Roberto Martinezmaldonado, Dwi Rahayu, Dragan Gasevic and Sadia Nawaz
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Design and Evaluation of an AI-Mediated Oral Interview System for Authorship Integrity: An Evidence-Centred Validity-by-Design Approach
Karen Haeng-A Kim
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What Calculus Should We Teach in the Age of AI? Identifying and Improving Higher-Order Thinking in College Math
Qianou Ma, Sherry Wu and Kenneth Koedinger
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Exploring GenAI-enabled Multimodal Feedback Processing in Collaborative Language Learning
Xinyu Guo and Yun Wen
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ProFeed: Designing Scaffolded Learning in the Age of AI
Mona Münstermann
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Chatbot Personalisation and Transparency for EFL Learning
Steve Woollaston, Brendan Flanagan and Hiroaki Ogata
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Pedagogical Steering of LLM-Based Teachable Agents to Scaffold Tutor Learning in Learning-by-Teaching
Lingxi Jin and Hyo-Jeong So
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Analysis of Learner Interactions in Metaverse Learning Environments using Artificial Intelligence
Akhil Hothi and Syaamantak Das
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AI and Human Peer Feedback in Introductory Programming: A Mixed Methods Study
Ezgi Çallı and Erkan Er
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Enhancing Climate Education Through Microclimate-Aware Learning Technologies: A GenAI and IoT Powered Approach
Imran S. A. Khan, Emmanuel G. Blanchard and Sébastien George
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Modeling Teacher-Student Co-Regulation as a Relational Process in AI-Supported Learning
Valentina Scorza and Nicoletta Di Blas
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Supporting Question-Asking in Early Science Learning with AI
Sunhyo Oh, Lauren Girouard-Hallam, Rotem Landesman and Ying Xu
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Weighted Allocation Probability Thompson Sampling for Response-Adaptive Learnersourcing
Haochen Song, Ilya Musabirov, Ananya Bhattacharjee, Audrey Durand, Meredith Franklin, Anna Rafferty and Joseph Williams
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A Human-AI Partnership Framework for Multimodal Analysis in Embodied Learning Environments
Joyce Horn Fonteles and Gautam Biswas
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Designing and Evaluating AI-Based Reflection Support Systems for Students
Seyed Parsa Neshaei
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LLM-Supported Disagreements
Mariah Bradford and Nikhil Krishnaswamy
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Supporting Data-Driven Mastery Learning at Scale
Yumou Wei
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The Mediating Mirror: A Recursive Symbolic Production Model for GenAI-Mediated Language Learning
Jai Hong Lee and Cheolil Lim
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Evaluating Pedagogical Styles of LLM-Generated Hint Sets
Matthew Kalarickal, Eamon Worden and Neil Heffernan
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A Near-Peer Reflective Agent for K-12 Collaborative Problem-Solving
Toni Earle-Randell
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Seeing Like a Student: Difficulty and Error Alignment of MLLMs on Visual Math Problems
Ethan Croteau and Neil Heffernan
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Modeling Embodied Collaborative Problem-Solving Dynamics in Immersive Virtual Reality
Xinyue Jiao and Xavier Ochoa
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Teachers Personalizing Lesson Plans and Tasks Using GenAI
Theodora Beauchamp and Candace Walkington
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Academic Practice and Generative AI: Configurations of Work in Two Mexican Universities.
Yanahui Anaid Caletti Gonzalez and Luis Antonio Mata Zuñiga
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Diagnosing When to Trust AI Coding of Student-Generated Text: A Committee-Based Framework for Characterizing Uncertainty in LLM Annotation Systems
Fanjie Li
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Contingent Support with LLM-Based Scaffolding for Collaborative Problem Solving in an Inquiry-Based Game Environment
Daeun Hong, Yeojin Kim and Cindy Hmelo-Silver
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From Competence Structures to Formative Feedback: A Knowledge Space Theory Pipeline for Evaluating and Enhancing LLM-Based Learning Recommendations.
Peter Steiner and Jan Hochweber
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Automating the Identification of the Triggers of Socially Shared Metacognitive Regulation in ill-structured Collaborative Problem-Solving: A Multimodal Analysis Approach
Vishwas Badhe and Ramkumar Rajendran
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From Assessment to Tutoring: Evidence-Led Faithfulness for Goal-Oriented Singing Practice
Tengteng Cheng and Zitao Liu
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A Case Study with an Intelligent Tutoring System for Active Study of Worked Examples in Introductory JAVA Programming
Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Rully Hendrawan, Kamil Akhuseyinoglu and Peter Brusilovsky
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Comparing Multimodal Learning Analytics Pipelines and Multimodal Large Language Models for Detecting Collaborative Engagement in Science Simulations
Christian Palaguachi
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Generative AI in Secondary Education across Diverse Populations
Tamara Dalki, Miri Yemini and Ido Roll