Artificial Intelligence in Education. Late Breaking Results, WideAIED, Practitioners, Industry and Policies, Blue Sky, Doctoral Consortium, FoL Workshops and Tutorials, FoL Invited Papers
Description
This three-volume set CCIS 3031-3033 brings together papers from the Late Breaking Results Track, the Practitioners, Industry and Policy Track, the Doctoral Consortium, the Blue Sky Track, and the wideAIED Track, as well as descriptions of workshops and tutorials presented at the 27th International Conference on Artificial Intelligence in Education, AIED 2026, held in Seoul, South Korea, from June 27 to July 3, 2026.
The 29 full papers, 133 short papers, 28 workshop papers and 1 invited paper presented in these volumes were carefully reviewed and selected from 627 submissions. They are organized into the following topical sections: Part I: Late Breaking Results Part II: WideAIED; Practitioners, Industry, and Policy; and Blue Sky Part III: Festival of Learning - Workshops and Tutorials; Festival of Learning - Invited Papers; and Doctoral ConsortiumMore details
Content
.- Late Breaking Results .-TRACE-LLMS: A Theory-Driven Semantic Enhancement Frameworkfor Teacher Knowledge Tracing Using Large Language Models.- Tell Me Why: Designing an Explainable LLM-based Dialogue System for Student Problem Behavior Diagnosis.- When AI Tutors Make Mistakes: Why Saying "I Was Wrong"Matters Most.-EmphAI: An VLM-Based System for Feedback on Non-Verbal Communication in Clinical Training.- Can an AI Teach Children to Recognize Medical Emergencies?A Game-Based Human-AI Learning Approach.-From Search Engine to Thought Partner: What Do Teachers UseAI Chatbots For?.- Toward Agentic AI Teammates for Early Childhood Educators:A Voice-Native Framework for Developmental Monitoring.- Geometric Curriculum Coverage for Detecting Summary Incompleteness via Hausdorff Distance.- Semantic Flow Refinement for Low-Legibility Handwritten Answers.- Detecting Cognitive Offloading in Student-LLM DialoguesThrough Behavioral Coding and Panel Analysis.- A Teammate-Oriented Analysis of Multimodal Grounding for VRAlgebra Support.- From Mirroring to Guiding: The Impact of Directive Process Feedback on Revision Strategies.- Zero-Shot Automated Essay Scoring with Large Language Models via Continuous Pre-training.- Learner-centered Feedback Using Generative AI to Differentiate Support Across Levels of Learners' Epistemic Understanding.- Team Patterns of GenAI-Triggered Metacognitive Behaviors in Computational Thinking.-Do Language Models Matter? Evaluating Model Choice in aMulti-Agent Feedback Framework.- Visualizing Psychological Safety in Online Lectures viaLLM-based Interaction Analysis.-Beyond Information Retrieval: Generative AI as an EpistemicArbiter to Enhance Collaborative Problem-Solving.- Closing the Feedback Loop: Automated Quality Assurance for LLM-Generated Feedback.- Simulating Students' Thinking with Large Language Models:Informing Iterative Design in Science Education.- Stack Theory: A Framework for Human Capability in the Age of AI.- Deciphering How GenAI Shapes Engagement Profiles inCollaborative Inquiry by Movement Analysis.- QLoRA-Based Fine-Tuning of Offline LLMs for Assisting Pedagogical Evaluation Report Writing.- Redesigning the Validation of AI-Generated Content in an AIED-Unplugged System: A Participatory Design Study withTeachers.- Multidisciplinary Theory Empowered LLM Multi-Agent Systemfor Student Problem Behavior Diagnosis.-Live Knowledge Tracing: Real-Time Adaptation using Tabular Foundation Models.- Human-AI Co-Design of Profile-Aware Feedback forMetacognitive Support.- Bridging ASR Limitations with Human Judgment: A Hybrid Approach to Oral Presentation Feedback.- Opportunities and Tensions of AI in Special Education: Perspectives from Reddit Teacher Communities.- The Pedagogy of AI Mistakes: Fostering Higher-Order Thinking.-AutoKT: Using LLMs to Estimate Item Difficulty for Knowledge Tracing.-Does Conversation-Based Assessment Elicit Higher-LevelThinking? Evidence from Expert and LLM Ratings.- A Systematic Review of Empirical Studies on IntelligentTutoring System Feedback in K-12 Classrooms.-Extended Deep Learning Knowledge Tracing to IncorporateAdditional Learning Events and Provide Explanations.- How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL EssayDrafts.- Learning AI Without a STEM Background: Mixed-Methods Evidence from a Diverse, Mixed-Cohort AIED Program.- Using AI-Generated Feedback to Improve Critical Thinking and Writing Proficiency.- A Multi-Dimensional Framework for Automatic Assessment Question Evaluation.- Why Machines Misread Pedagogical Quality: Human-Machine Alignment in LLM-Based Pretest Question Evaluation.-ClassPulse: A Bidirectional AI-Supported Programming Homework Platform for Teaching Signals and Student Learning Support.- Profiling Cognitive Interaction and Epistemic Emotions in Generative Artificial Intelligence-Supported Learning: ADual-Agent Analysis Based on Reflective Journals.- Robust Multi-Document Localization for MultimodalIntelligent Tutoring Systems.- Uncertainty-Aware Multi-Metric Evaluation of Human-Machine Agreement for LLM-Based Educational Assessment.-The Hidden Costs of Contextual Sycophancy: an AI LiteracyIntervention in Human-AI Collaboration.-From Virtual Programming to Real-World Creative Expression:A VR-Based STEAM Approach to Reducing STEM Learning Stress.- Exploring Student Participation Patterns in GenAI-Assisted Collaborative Learning Using Heterogeneous Interaction Network Analysis.- Translating Game-Based AI Literacy Activities Across Age Groups: A Pilot Study in Undergraduate Computer Science.- Fairness-Aware Predictive Learning Analytics at Scale in Public Secondary Education.- Do Gains from Generative AI-Enabled Adaptive Pretesting Persist? Evidence from a Retention Study.- Autism-Affirming AI Job Coaching for Workplace Navigation:Insights from Autistic Adults.- AI or Human? An Open-Source SDK and Dashboard for Detecting Outsourced Responding.-Learning to Be Green: A Pilot Study of the Gaia Multi-Agent Tutor.- When Textification Fails: Embedding Collapse in Student Dropout Prediction.-The Illusion of Understanding: How Middle-School StudentsFail to Regulate Inquiry with ChatGPT During a Science Task.- SCAFFOLD: Action-Space Abstraction in Offline Bandits for Pedagogical Reranking of Scholarly Literature.-Web-Genius: A Lightweight Multi-Agent Architecture for Transforming Static Educational Webpages into AdaptiveLearning Tools.- Multimodal LLM-Driven Sketch Assessment to Support Students' Science Problem Solving.-Learning Beyond the Screen: Designing a Voice-based Conversational AI Teacher for Low-Infrastructure Contexts.- Exploring Intentional Ambiguity to Exploit Generative AI Grading.- Ellysia: Vision-Language Evaluation of STEM Educational Videos with a 12-Item Checklist.- Teacher Burnout in AI Integration: A Mediation Model of TPACK, Need Satisfaction, and Technostress.- Human Agency Sparks AI Synergy: The Structural Relationship between Self-Regulated Learning, Engagement, and Acceptance of AI Digital Educational Materials.- From Moves to Pathways: Characterizing Pedagogical Discourse Dynamics in Online Tutoring with Bayesian Generative Modeling.-A Multimodal RAG Platform for Feedback-Adaptive Assessmentand Cognitive Scaffolding.- Tree-Guided LLM Task-Oriented Dialogue for Student Problem Behavior Diagnosis.- Beyond Recall: Calibrating LLMs to Score Causal Reasoningin STEM Transfer Questions.-Validating High-Inference Pedagogical Constructs:Preliminary Evidence from a Multi-Agent Architecture forEquity-Focused Mathematics.- Toward Grade-Aligned Educational Text Generation withTraining-Free Readability Steering.- Improving Multiple Choice Questions Using Synthetic Data.- A Dialogue-Based Board Game for AI Literacy in Highe rEducation.- Design and Feasibility of an LLM-Powered Humanoid Robot as a Reading Companion to Support Children's AI Literacy.-VR Gesture Analyst: An AI-Assisted Tool for MultimodalGesture Coding in Collaborative VR Learning.- Teaching Step by Step: LLM-Generated Animations That Segment Mathematical Concepts, Not Just Render Answers.- A Multi-Agent Instructional Support System for Human-AI Collaborative Diagnostic Problem Solving: Classroom Evidence.- PersonA.I.: Supporting Ethical Decision-Making Through a Role-Playing Game with Conversational Agents.- Making Bias Explorable for Metacognitive Scaffolding and Shared Regulation in Learning.- Capturing Momentary Motivational States Using Detector-driven In-situ Questionnaire.-Characterising Student Behaviours with AI-Generated Feedback in Higher Education.- A Place-Based Intelligent Learning Technology Leveraging Microclimates for Adaptation.- Towards LLM-based Detection of Gaming a Generative Tutor.