Artificial Intelligence in Education (eBook)

.- An AI-Assisted Co-Planning System for Early English Reading Practice.
.- Capture-Calibrate-Coach: A Graph-Based Framework for Knowledge Monitoring Estimation and Adaptive Feedback.
.- The Cost of Thinking: Increased Jailbreak Risk in Large Language Models in Education.
.- CLAIRE: a Controllable LLM Tutoring Framework for Reading Comprehension.
.- RoMathExam: A Longitudinal Dataset of Romanian Math Exams (1895–2025) with a Seven-Decade Core (1957–2025).
.- Offline Reinforcement Learning for Adaptive Feedback in Online Programming Education.
.- Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language Models.
.- Confidence Estimation in Automatic Short Answer Grading with LLMs.
.- Evaluating Interactivity: Toward Automated Assessment of AI-Generated Explorable Explanations.
.- MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers.
.- SEPT Privacy-by-Design Framework for Early Teacher Intervention: Modeling Difficulty as a Deviation from a Student's Success Signature.
.- SLAI: AI Support for Multilingual Small Group Discussions in Science Classrooms.
.- Cold-Start Syntax Error Prediction in Programming Education: Comparing Sequential Knowledge Tracing and Large Language Models.
.- Methodologies for Improving the Quality of AI Tutoring in K-12 Education.
.- Small, Private Language Models as Teammates for Educational Assessment Design.
.- Using LLMs to Annotate Pedagogical Moves: You Know What I Mean?.
.- When to Stop? An Experimental Study on AI Teachable Agent Stopping Mechanisms and Their Learning Affordances in Mathematics.
.- Can We Trust AI's Self-Assessment? Evaluating and Improving LLM Confidence Calibration in Educational Dialogue Coding.
.- Learning Context Matters: Measuring and Diagnosing Personalization Gaps in AI Instructional Design.
.- Optimizing In-Context Demonstrations for LLM-based Automated Grading.
.- Modeling Completion Time in Mathematics Formative Assessments: Content-Based Prediction of Time Variation.
.- Modeling Student Learning with 3.8 Million Program Traces.
.- CLARA: An AI-Augmented Analytics Dashboard for Collaboration Literacy.
.- SimPath: Clinically Grounded AI Patients for Therapist Training.
.- MusicTutor: Facilitating Goal-Oriented Singing Practice via Multi-Agent Tutoring Framework.
.- The Missing Evaluation Axis: What 10,000 Student Submissions Reveal About AI Tutor Effectiveness.
.- Learning in Blocks: A Multi Agent Debate Assisted Personalized Adaptive Learning Framework for Language Learning.
.- Can Multimodal LLMs ‘See’ Science Instruction? Benchmarking Pedagogical Reasoning in K–12 Classroom Videos.
.- RL Agents Reveal What's Hard: Bootstrapping Difficulty-Ordered Curricula for Human Learners.
.- Towards Real-Time Personalized Feedback in Open-Ended Learning Environments.
.- 4OPS: Exact Enumeration and Difficulty Modeling for Integer Arithmetic Puzzles.
.- Using Poly-Encoders for Computationally Efficient Automated Creativity Assessment.
.- Evaluating Vision-Language and Large Language Models for Automated Student Assessment in Indonesian Classrooms.
.- From writing traces to personalised support: Guiding LLMs with stylometric fingerprints.
.- DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education.
.- FoundationalASSIST: Dataset for Foundational Knowledge Tracing & Pedagogical Grounding of Large Language Models.
.- Leveraging LLMs for Dynamic Engagement Pattern Recognition in Collaborative Learning.
.- THiNK: Can Large Language Models Think-aloud?.
.- Student Development Agent: Risk-free Simulation for Evaluating AIED Innovations.
.- Design, Integration, and Evaluation of LLM-Enhancement Techniques for LMSs: RAG, LoRA Fine-Tuning, and Structured Generation.
.- Multi-Dimensional Evaluation of LLMs for Grammatical Error Correction.
.- From BOPPPS Stages to Cognitive-Adaptive Prompts: Controlling Instructional Drift in LLM-Based Tutoring Dialogues.
.- Measuring What Matters---or What’s Convenient?: Robustness of LLM-Based Scoring Systems to Construct-Irrelevant Factors.accessibilitysupport@springernature.com