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

• Autore: Blanchard Emmanuel G
• Pubblicazione: Cham : , : Springer, , 2026; ©2027
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (1046 pages)
• Nota di contenuto: Lecture Notes in Computer Science -- Artificial Intelligence in Education -- Preface -- Organization -- Contents -- Agnoagentia: The Illusion of Agency in AI-Assisted Learning -- Do Instructional Behaviors Generalize Across Disciplines? an Empirical Study with Fine-Tuned Multimodal LLMs -- From Black-Box Generation to Pedagogically Controllable Creation: A Text-to-Image Interactive System in Design Education -- Scaffolding-First Constraint Design for LLM Tutors in Data-Science Problem Solving -- Representation Learning to Study Temporal Dynamics in Tutorial Scaffolding -- Enabling Multi-agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design -- Multi-label Collaborative Dialogue Act Recognition for Adaptive Team Training Environments -- Circuit Complexity of Hierarchical Knowledge Tracing -- Beyond the Gold Standard: Reliability Estimation of Human and GenAI Scoring -- CODE-GEN: A RAG-Based Agentic AI System for Multiple-choice Question Generation -- Content-Grounded Learning Behavior Analysis for Contextualized Feedback -- Evaluating a Data-Driven Redesign Process for Intelligent Tutoring Systems -- Time-Window ONA: Model the Impact of Utterances in Ordered Network Analysis -- On Generating and Validating Erroneous Examples in CS1 Using LLMs -- Contrastive Network-Based Similarity for Zero-Shot Automatic Scoring of Very Short Handwritten Answers -- MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model-Agnostic Meta Learning -- Peer and Tutor in One: A Productive Failure-Based Architecture for Multi-role Conversational Agents in Physics Learning -- EduArt-Bench: A Benchmark and Lightweight Scoring Calibration for K-12 Art Education -- Conceptualization of Thinking Activities-Specific Metacognitive Knowledge Ontology. ; Mix and Match: Context Pairing for Scalable Topic-Controlled Educational Summarisation -- Study Program Curriculum Development with AI -- Cross-Dataset Bloom Question Classification: Supervised Models and Prompted LLMs -- Decoding Latent Reasoning: Mechanistic Interpretability of Chain of Continuous Thought with Sparse Autoencoders -- Personalizing Mathematical Game-Based Learning for Children: A Preliminary Study -- A Hybrid Human-AI Content Generation Framework for Safe and Personalized Dialogic Learning with Children -- Likelihood-Based Diagnosis with Generative Models: Confidence-Aware Measurement from Student Writing -- Delegating Educational Tasks to LLMs: A Content Analysis of Evaluation Approaches -- An ORID-Structured GenAI Reading Companion Integrating Structured Book Chat and Virtual Labs for Science Reading -- Large Language Models for Automated Bloom's Taxonomy Classification in Computer Science Assessment -- A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation -- MCQ Difficulty Prediction via Modeling Learner Heterogeneity Using Data-Driven Cognitive Profiling -- Can Large Language Models Learn to Grade Like Teachers? A Few-Shot Study on Open-Ended Assessment -- ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms -- Minimizing Data Exposure in Higher Education LLM Applications: Evaluating the Model Context Protocol (MCP) for Preserving Privacy in Academic Advising -- Re-imagine Knowledge Tracing with Student Agency in a Generative AI Language Tutor -- From Predictive Models to Actionable Recommendations: A Survey of Counterfactual Approaches in Student Dropout -- Simulating Validity: Modal Decoupling in MLLM Generated Feedback on Science Drawings -- Confidence-Aware Automated Assessment of Student-Drawn Scientific Models. ; Exploring Question Isomorphism Through Different Numerical Representations -- A Generator-Aligner Pipeline for LLM-Based Situational Judgment Test Generation -- When Can We Trust AI Coding of Student-Generated Text? A Committee-Based Approach to Diagnosing Agreement and Uncertainty at Scale -- From Rule-Based to LLM-Based Agents: A Calibrated Simulation Framework for Classroom Social Networks -- Making Advanced Temporal Visualizations Accessible to Educators Using Generative AI -- FairDetect: Training-Time Fairness for AI-Generated Text Detection via Perplexity-Adaptive Focal Loss -- Reliability as a Teammate: Budgeted Verifier-in-the-Loop (BVIL) Policies for Reliable LLM Tutoring Actions -- Estimating Learners' Skill Acquisition Without Temporal Information -- Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success? -- From Exploration to Creation: How Teachers Orchestrate AI-Supported Learning in History Classrooms -- Explaining, Solving, or Generating? Functional Differences in Students' AI Use in a University Database Course -- Leveraging Human-AI Collaboration for a Passage-Based Question Authoring Tool -- Automating Supportive Psychological Processes: How Source Attribution Shapes Perceived Empathy, Working Alliance, and Acceptability of a Supportive Conversational Agent -- Tailoring AI-Driven Reading Scaffolds to the Distinct Needs of Neurodiverse Learners -- Should AI Ask First? Investigating the Effects of Proactive vs Reactive AI Mentoring in Self-directed Learning -- Uncertain AI - Better AI? Effects of Uncertainty Indicators in Collaborative Learning with a Human Peer or an Artificial Intelligence -- Using LLMs to Score Mathematics Lessons for Instructional Quality with the UTOP -- Making AI Planning Visible: Narrative-Centered Goal-Directed AI Reasoning to Foster AI Literacy. ; A Comparative Study of Student Perspectives on Technical Writing Feedback Quality: Evaluating LLMs, SLMs, and Humans in Computer Science Topics -- Teachers' Perspectives on Decision-Making in AI-Supported Classrooms: A Cross-Cultural Study of Germany and Japan -- AI Partners that Support Productive Uncertainty Within "Jigsaw" Activities During Small Group Collaborative Learning in Classrooms -- Impact of Multimodal and Conversational AI on Learning Outcomes and Experience -- From Examples to Rules? Exploring Inductive Reverse Engineering and Deductive Few-Shot Coding via LLMs for Qualitative Data Analysis -- 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: 9783032297600
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911127452203321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science Series