Artificial Intelligence in Education : 27th International Conference, AIED 2026, Seoul, South Korea, June 27-July 3, 2026, Proceedings, Part I

• Autore: Blanchard Emmanuel G
• Pubblicazione: Cham : , : Springer, , 2026; ©2027
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (1023 pages)
• Nota di contenuto: Lecture Notes in Computer Science -- Artificial Intelligence in Education -- Preface -- Organization -- Contents -- Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding for LLM Agents -- DrawSim-PD: Simulating Student Science Drawings to Support NGSS-Aligned Teacher Diagnostic Reasoning -- Enhancing Intelligent Tutoring Systems with Instruction-Tuned LLMs: Automated Assessment of Student Code Comprehension -- Automatically Inferring Teachers' Geometric Content Knowledge: A Skills Based Approach -- Personalized AI Practice Replicates Learning Rate Regularity at Scale -- Benchmarking Scientific Formula Vocalization in Large Speech Language Models Toward Accessible Learning -- From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring -- Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math -- Prompt Optimization with Verifiable Rewards for Synthetic Essay Generation -- Generating Personalized Programming Exercises via Cognitive State Graphs and ZPD-Driven Prompting -- Short, Long, or Affective: Evaluating LLM-Generated Feedback Styles for Student Learning -- Developing and Evaluating a Large Language Model-Based Tool for Qualitative Analysis of Teacher Interviews -- An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration -- Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards -- Beyond Show and Tell: Explainable AI-Supported Feedback for Developing Data Visualization Sense-Making Skills -- A Multi-agent Approach to Validate and Refine LLM-Generated Personalized Math Problems -- Gaze to Insight: A Scalable AI Approach for Detecting Gaze Behaviours in Face-To-Face Collaborative Learning. ; When AI Meets Early Childhood Education: Large Language Models as Assessment Teammates in Chinese Preschools -- From Slides to Exams: A Multi-agent Human-AI System for Collaborative Assessment Design -- i-vip: A LLM-Driven Multi-agent System for Professional Development of Mathematics Teachers -- A Neuro-Symbolic Approach to Extracurricular Activity Recommendation Based on Cognitive Profiling -- From Problem Solving to Pedagogical Feedback: Student-Centric Tree-of-Thought Reasoning for Student Error Attribution -- ANVIL: Analogies and Videos for Lecturers -- Process-Integrated IRT: Enhancing Ability Estimation in Computer-Based Programming Assessments Through Response Process Data -- New Intent Discovery for Educational Dialogue Texts via Semantic-Aware Data Augmentation -- When Can We Trust LLM Graders? Calibrating Confidence for Automated Assessment -- REFINE: Real-World Exploration of Interactive Feedback and Student Behaviour -- The TME Framework: Multimodal Learner Modeling for Active Listening Skills in Collaborative Problem Solving -- An Item Response Theory Model for Addressing Halo Effects in Performance Assessment -- LLM-Based Virtual Standardized Patients with Response Excessiveness Suppression via Direct Preference Optimization for Medical Interview Examinations -- PSC: Personalized Sentence-Level Pronunciation Coaching Framework for Thai EFL Learners -- Building Evidence-Linked Curriculum Knowledge Graphs for Academic Pathway Planning -- Misconception Acquisition Dynamics in Large Language Models -- Beyond Next-Response Prediction: Evaluating Knowledge State Transition Consistency in Deep Learning Based Knowledge Tracing Models -- Grounding Programming Chatbot in Computational Thinking: Design and Evaluation of MazeMate -- SciEval: A Benchmark for Automatic Evaluation of K-12 Science Instructional Materials. ; Has Automated Essay Scoring Reached Sufficient Accuracy? Deriving Achievable QWK Ceilings from Classical Test Theory -- Automated Multimodal Transcription for Belonging-Centered Classroom Interaction Analysis: Opportunities and Challenges -- Single-Agent vs. Multi-agents for Automated Video Analysis of On-Screen Collaborative Learning Behaviors -- SLOW: Strategic Logical-Inference Open Workspace for Cognitive Adaptation in AI Tutoring -- From Learning Resources to Competencies: LLM-Based Tagging with Evidence and Graph Constraints -- Simulating Novice Students Using Machine Unlearning and Relearning in Large Language Models -- Author Index.
• Sommario/riassunto: This six-volume set LNAI constitutes the refereed proceedings of the 27th International Conference on Artificial Intelligence in Education, AIED 2026, held in Seoul, South Korea, during June 27-July 3, 2026.The 143 full papers and 165 short papers presented in this book were carefully reviewed and selected from 1241 submissions.
• Titolo autorizzato: Artificial Intelligence in Education
• ISBN: 9783032297440
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911127558403321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science Series