LLMs (large language models) are the wiki's dominant technology: from llm-detecting-llm-generated-content-education and llm-feedback-programming-classroom to llm-student-simulation-misconception-faithfulness and special-r1-rl-special-education , the corpus tracks LLMs as tutors, graders, simulators, and content generators β with capability consistently outpacing pedagogical validation (generative-ai , ai-ed-evaluation ).
Related Pages
courseblueprint-adaptive-video-generation -- Explicit typed instructional contracts (scaffolding, adaptive controller, engagement contract, slide override) drastically improve pedagogical video quality over fluent but PCK-absent text-to-video.
ai-interlocutor-l2-spoken-dialogue -- AI dialogue in L2 practice resembles 'supported monologue' with fewer turns but greater short-term linguistic uptake; human dialogue is faster and more balanced.
curiobot-llm-tutoring-exploratory-learning -- Curiosity-oriented LLM interventions (novelty, complexity, conflict, uncertainty) increased exploratory learner behaviors up to 2.4x β acting as a partially independent interaction-level mechanism.
π 188 other pages tagged llm It Felt a Bit Eerie": Exploring Humanlike Interactions During Collaborative Writing with an Artificial Agent It's OK Because...": The Wild West of Student Rationalization of AI Use in Academic Writing Why Put in This Much Effort?": How AI Availability Shapes Studentsβ Motivation in Introductory Programming A didactical-driven teacher assistant for a dimensional modeling course A review of intervention designs of LLM Integration in Undergraduate Computer Science Education A Semi-Automated System for Generating Dialogue-Based TTS Lessons Using Large Language Models: An Exploratory Study of Educational Potential A Survey of Automated Presentation Coaching: Systems, Methods, and Open Challenges AcademiClaw: When Students Set Challenges for AI Agents Advancing diagram-based reasoning in AI tutoring systems: a structural approach for STEM education Agentic AI Ecosystems in Higher Education: A Perspective on AI Agents to Emerging Inclusive, Agentic Multi-Agent AI Framework for Learning, Teaching and Institutional Intelligence Agentic AI in Education Agentic AI in Education: A Scoping Review of Research Landscape, Capabilities, and the Frontier Agent Paradigm Agents That Teach: Designing Incidental Learning Back into AI-Assisted Software Development Agreement Is Not Quality: Blind Expert Verification of Human and LLM Qualitative Coding When Human Consensus Is Not Ground Truth AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education AI in Higher Education AI in K-12 Evidence Base AI in the Wild: A Large Scale Analysis of Authentic Interactions of College Students with Generative AI AI Learning Transfer AI Peer Feedback Systems AI Tutor Safety and Pedagogical Harms AI Tutoring AI-Driven Tools for Enhancing Campus Well-being: Prevention and Intervention AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems AI-Generated Traces for Novice Programmers: Learning Effects and Learner Differences in a Multi-Institutional Study AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models AICoFe: Implementation and Deployment of an AI-Based Collaborative Feedback System for Higher Education AISSA: AI-based Student Slides Analysis Tool for Academic Presentations Aligning LLM-Simulated and Human Examinees for Psychometric Calibration: A Cognitive Diagnostic Profiling Approach An exploratory behavioral and electroencephalographic study of artificial intelligence-assisted learning modes in high school students ANVIL: Analogies and Videos for Lecturers Are Agents Ready to Teach? A Multi-Stage Benchmark for Real-World Teaching Workflows Are LLM-based Chatbots Good Enough to Support Computer Science Students in Multiple-Choice Exercises? ASTRA: A Scalable Next-Generation ATCO Training Simulator with Autonomous Simpilots Automated Grading of Handwritten Mathematics Using Vision-Capable LLMs Automated Grading of Linux/Bash Examinations Using Large Language Models Automated Grading Systems Automated Question Generation Automatic Short Answer Grading with LLMs Balancing AI responsibility with privacy, safety, and utility: Unlearning in large language models for mathematics education Benchmarking Multimodal Large Language Models for Scientific Visualization Literacy Beyond Rephrasing: Book-Level Organization Improves Synthetic Textbook Data for Mid-Training Beyond the AI Tutor: Social Learning with LLM Agents Building AI Companions that Prioritise Learning over Performance Catching The Correct Answer Trap: Characterising AI Tutor Blind Spots When Analysing Student Reasoning Characterizing Students' LLM Usage Behaviors and Their Association with Learning in Critical Thinking Tasks Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety CLARA: An AI-Augmented Analytics Dashboard for Collaboration Literacy Codify: An Intelligent Socratic Tutoring System for Programming Education Codify: An Intelligent Socratic Tutoring System for Programming Education Cognitive Agent Compilation for Explicit Problem Solver Modeling Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction CogTax: A Four-Level Cognitive Taxonomy for Command-Line Computing Education Commenting with Copilot: A Taxonomy and Multi-Year Analysis of Student Code-Generation Specifications Comparative Validation of GPT-4o-mini and Teacher Mean Scores for Automated Scoring of Music Analysis Responses: Single-Pass Deployment, Repeatability, and Strategy-Specific Bias Comparing human and LLM ordered coding of qualitative data: How coding differences cascade through temporal analysis Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most ConnectED: A Curriculum-Aligned AI System for Vietnamese Instructional Lesson Planning and Student Learning Contaminated Collaboration: Measuring Gender Bias Transfer in LLM-Assisted Student Writing Conversational AI as a catalyst for informal learning: An empirical large-scale study on LLM use in everyday learning CourseBlueprint: A Structured Pipeline for Adaptive Pedagogical Video Generation Grounded in Course Corpora Creating Learning Scaffolds for Engineering Design Using Concept Catalyst Cross-Dataset Bloom Question Classification: Supervised Models and Prompted LLMs CSTutorBench: Benchmarking Small Language Models as Tutors for Block-Based Programming Curiosity as Linguistic Intervention: Using LLM Tutoring Dialogues to Influence Exploratory Learning Behavior Data Comics for Education: Evaluating Effectiveness, Benefits, and the Ethics of AI-Assisted Creation Demystify, Use, Reflect, Assess (DURA): An Experience Report on LLM Integration in CS2 Detecting Knowledge Gaps from Conversational AI Interactions Using Curriculum Prerequisite Graphs Distinguishing Artificial from Authentic: Evaluating LLMs for Detecting LLM-Generated Content DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums ECNUClaw: A Learner-Profiled Intelligent Study Companion Framework for K-12 Personalized Education Educational LLM Alignment EduGuard: A Safe RAG-Based LLM Tutor for Programming Education EduMirror: Modeling Educational Social Dynamics with Value-driven Multi-agent Simulation EduQwen: Pedagogical RL EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers Evaluating Interactivity: Toward Automated Assessment of AI-Generated Explorable Explanations Evaluating Prompt Injection Defenses for Educational LLM Tutors: Security-Usability-Latency Trade-offs Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Performance and Metacognition Exploring How Agent Voice Accents Shape Human-AI Collaboration in K-12 Group Learning Exploring the Design Space of LLM-Based Programming Support in CS Education: A Scoping Review through the Lens of Assistance Governance Exploring the Effectiveness of Using LLMs for Automated Assessment of Student Self Explanations in Programming Education Exploring the Value of Diverse LLM Explanations in Introductory Programming FOXGLOVE: Comparing Goal-Oriented Writing Feedback from Experts and LLMs From Answer Generators to Reasoning Facilitators: Designing AI Tutors for Mathematical Reasoning in High-Stakes Environments From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs From Memorization to Creation: Evaluating the Cognitive Depth of LLM-Generated Educational Questions From Surface Learning to Deep Understanding: A Grounded AI Tutoring System for Moodle Generate-Then-Validate: Question Generation for Education Generative AI Feedback, English Writing and Teacher Rubrics: A Multiple-Case Study of CyberScholar Generativism: Toward a Learning Theory for the Age of Generative Artificial Intelligence Hallucination Risk Human-LLM Collaborative Inductive Coding for Conceptualizing K-12 Educator AI Use ICLE++: Modeling Fine-Grained Traits for Holistic Essay Scoring IKS-Instruct: A 24,000-Example Multilingual Dataset for Teaching Language Models Indian Knowledge Systems Informal Learning Emerges in Everyday Human-LLM Interaction Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues Interpretable Knowledge Tracing via IRT Invisible Impact of Empathy on Behavioral Change: Isolating the Effect of Empathy in Long-term Physical Activity Coaching Chatbot Interactions Knowledge Distillation for Automated AI Tutor Evaluation KT4EQG: Personalized Exercise Question Generation via Knowledge Tracing LaTA: A Drop-in, FERPA-Compliant Local-LLM Autograder for Upper-Division STEM Coursework Learning by Chatting? Investigating the Impact of Generative AI on Information Seeking and Learning Learning Engagement Assistant (LEA): Cross-Course Scalability and Classroom Evaluation of an Agentic AI Tutoring System Learning to Prompt: Improving Student Engagement with Adaptive LLM-based High-School Tutoring LearnMate^2: Design and Evaluation of an LLM-powered Personalized and Adaptive Support System for Online Learning LearnOpt: Recovering the Latent Cognitive Structure of Standardized Examinations via Knowledge Graphs and Constrained Optimization LecturaAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching Less Deliberate in Teams: Student LLM Use Across Individual and Collaborative Work LLM Fallacy Misattribution in Education LLM Student Modeling and Long-Term Memory Architecture LLM-assisted sentiment analysis for integrated computational and qualitative mixed methods education research: A case study of students' written reflection assignments LLM-Based Educational Simulation: Evaluating Temporal Student Persona Stability Across ADHD Profiles LLM-based Multimodal AI Feedback Produces Equivalent Learning and Better Student Perceptions than Educator Feedback LLM-Generated Feedback in Introductory Programming: A Classroom Study Measuring Cognitive Engagement in Collaborative Discourse with an Extended ICAP Framework: Comparing Human Annotation, In-Context Learning, and Reflective LLM Agents Measuring Whether LLM Tutors Teach or Solve: A Diagnostic for Educational Impact MedGame: Storytelling Gamification Empowered by Large Language Models for Medical Education MindCopilot: Towards Formalizing and Evaluating Granular Human-LLM Co-Writing Modernizing Ground Truth: Four Shifts Toward Improving Reliability and Validity in AI in Education Modularizing Educational LLM-Agency for Fostering Responsible Learning Assistance Multimodal AI Tutoring in STEM NSMQ Riddles: A Benchmark of Scientific and Mathematical Riddles for Quizzing Large Language Models ParaTutor: LLM Mediated Parent Child Tutoring through Role Separated Scaffolding Interface in Real Time Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study PersonaVLM: Long-Term Personalization for AI Tutors Profiling cognitive offloading in LLM-mediated synthesis writing: Volume vs. content Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development PromptDecipher: Supporting AI Tutor Authoring Through Editable Simulated Interactions PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback Quality-Conditioned Agreement in Automated Short Answer Scoring: Mid-Range Degradation and the Impact of Task-Specific Adaptation REC-CBM: Rubric-Aware Error-Correction Concept Bottleneck Models for Trustworthy Open-Ended Grading Regulating the AI Tutor: SRL and Help-Seeking in Adolescent GenAI Use Report on CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS) Representation Robustness under Executable Reasoning Constraints in Large Language Models for Mathematical Problem Solving Reshaping Undergraduate Computer Science Education in the Generative AI Era Rethinking LLM-Judged Helpfulness as a Pedagogy Signal: A Pre-Registered Audit Across Tutor Models Rethinking Scaffolding in LLM Tutors: The Interactional Mismatch Between Benchmarks and Real-World Deployments Retrieval-Augmented Tutoring for Algorithm Tracing and Problem-Solving in AI Education Role of Instructional Guidance in Generative AI-Assisted Learning Say What? Examining Text and Voice Input Modalities for Prompt-Based Programming in Computing Education Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators Simulating Students' Java Programming Errors with Large Language Models Slide Deck Q&A Quality Assurance App: A Multi-Stage Pipeline for Pedagogical Question Generation Socially fluent AI decouples conversational signals from source identity in online interaction Special-R1: Reinforcement Learning for Special Education β Aligning LLM Tutors to Diverse Learners through Disability-Adaptive Training Structured AI Demonstrations and Student LLM Use in Engineering Mechanics: Study Design and Preliminary Results Student Evaluation of Repeated AI Feedback Across a Semester of Writing SupplyNet: Supporting Visual Exploratory Learning in Supply Chain via Contextual Multi-Agent Simulation Sycophancy is an Educational Safety Risk: Why LLM Tutors Need Sycophancy Benchmarks Taklif.AI: LLM-Powered Platform for Interest-Based Personalized College Assignments TeachBench - Evaluating LLM Teaching Ability Teacher-Authored Prompts for Configuring Student-AI Dialogue: K-12 Classroom Implementation Teaching Prompt-Based Programming with LLMs: A 45-Minute Lesson with Guided Practice for End-User Programmers TeachingCoach: A Fine-Tuned Scaffolding Chatbot for Instructional Guidance to Instructors Test-Driven, AI-Assisted Learning: Replacing Lectures with Weekly Closed-Book Tests The Correct Answer Trap: Pedagogically-Grounded Detection and Feedback for Hidden Misconceptions The Easy Trap: Why LLMs Underestimate Misconception-Driven Difficulty The Effects of Structured LLM-Generated Feedback on Programming Assignment Performance The Empirically Grounded Adaptive Virtual Patient for Psychotherapy Training The Environmental Cost of LLMs in AIED: Reporting and Practices The Hidden Cost of Contextual Sycophancy: an AI Literacy Intervention in Human-AI Collaboration The impact of generative artificial intelligence on academic development of Chinese students in humanities and social sciences The LLM Fallacy and Misattribution of Competence The Paternalistic Filter: Epistemic Injustice and Differential Refusal in LLM-Mediated History Education for Marginalized Romanian Students The Path to Conversational AI Tutors: Integrating Tutoring Best Practices and Targeted Technologies to Produce Scalable AI Agents The Theoretical Foundation of Socratic Tests: Dynamic, Multimodal, Conversational Examinations The Tutoring Effectiveness Index: Predicting LLM Math Tutor Quality from Four Conversation Signals TibetCPR: A Multimodal Tactile Feedback System for CPR Training in High-Altitude Regions To Facilitate or not to Facilitate: Human and LLM Facilitator Tendencies in Online Discussions To Tab or Not to Tab: Measuring Critical Engagement in AI Code Completion Tools Using Behavioral Signals and Attention Checks Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars Towards Self-Referential Analytic Assessment: A Profile-Based Approach to L2 Writing Evaluation with LLMs Towards SocratiCode: Designing a Generative AI-Based Programming Tutor for K-12 Students through a 4-Week Participatory Design Study Training Pedagogical LLMs for Tutoring Tutor, Not Solver: Designing a Guardrailed AI Assistant for Learning in Higher Education (PeteChat) Tutoring-Specific vs. General-Purpose AI in Education Understanding How International Students in the U.S. Are Using Conversational AI to Support Cross-Cultural Adaptation Using AI in engineering education: a balancing act, driven by clear purpose Using AI-based Learning Assistants in Higher Education: A Large-Scale Descriptive Analysis VETTING: A dual-LLM framework for in-loop safety verification via policy isolation in educational AI What Changes When the Interlocutor Is an AI? Interactional Fluency and Linguistic Uptake in L2 Spoken Dialogue What Does the Credential Still Certify? Cognitive Stewardship for AI-Mediated Education What Don't You Understand? Using Large Language Models to Identify and Characterize Student Misconceptions About Challenging Topics What Makes Words Hard? Sakura at BEA 2026 Shared Task on Vocabulary Difficulty Prediction When AI Agents Teach Each Other: Discourse Patterns Resembling Peer Learning in the Moltbook Community Who Am I? History-Aware Profiles for Student Simulation in Tutoring Dialogues Why Machines Misread Pedagogical Quality: Human-Machine Alignment in LLM-Based Pretest Question Evaluation
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