Adaptive learning refers to educational technologies that dynamically adjust content, difficulty, pacing, or instructional approach based on individual learner performance, preferences, or needs. It is a core component of modern intelligent-tutoring systems.
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π 52 other pages tagged adaptive-learning
- A Taxonomy of Metacognitive Learning Scenarios in Professional Contexts: Integrating Systems Theory with Empirical Constraints
- AdaPT: Adaptive Lesson Plan Transformer for Cross-Regional and Differentiated Instruction
- Adaptive Learning Systems
- Affective Tutoring
- AI Coaching for Accelerating Human Skill Development with Reinforcement Learning
- AI in K-12 Evidence Base
- AI Learning Transfer
- AI Tutor Safety and Pedagogical Harms
- AI-Enabled Serious Games: Integrating Intelligence and Adaptivity in Training Systems
- AI-Integrated Learning Management System for Middle School: A Longitudinal Study of Learning Outcomes
- Aligning LLM-Simulated and Human Examinees for Psychometric Calibration: A Cognitive Diagnostic Profiling Approach
- Archetypes or ability? Clustering for modelling student mathematical competence
- Artificial intelligence in vocational education and training: A systematic review of educational purposes, theoretical conceptualizations, and empirical effectiveness
- ASTRA: A Scalable Next-Generation ATCO Training Simulator with Autonomous Simpilots
- Automated Recommendation of Programming Learning Content Using Pattern-based Knowledge Components
- Building AI Companions that Prioritise Learning over Performance
- Codify: An Intelligent Socratic Tutoring System for Programming Education
- Cognitive Agent Compilation for Explicit Problem Solver Modeling
- Collaborative AI Tutoring
- Comprehensive Review of Intelligent Tutoring Systems
- Do Gains from Generative AI-Enabled Adaptive Pretesting Persist? Evidence from a Retention Study
- Engagement Assessment in Video Learning
- Engagement Intensity as a Learner-Modeling Signal for Adaptive AI Ethics Instruction
- Estimating Learners' Skill Acquisition Without Temporal Information
- Expert Cognition Dashboard: From Learning Analytics to Cognition Intelligence in AI-Driven Education
- Explainable Artificial Intelligence in Education (XAI-ED)
- Framing the 5% Problem: Teachers' Perspectives on Persistence in Educational Technology
- Gaze-Informed Proactive AI Assistance for Childrenβs Picture Exploration
- Guidelines for Designing AI Technologies to Support Adult Learning
- Interpretable Knowledge Tracing via IRT
- KT4EQG: Personalized Exercise Question Generation via Knowledge Tracing
- Kutti AI: A Voice-First, Offline-Capable Learning Companion with Real-Time Struggle Detection for Visually-Impaired Children
- 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
- LLM Student Modeling and Long-Term Memory Architecture
- MBP-KT: Learning Global Collaborative Information from Meta-Behavioral Pattern for Enhanced Knowledge Tracing
- Memdora: Designing Cognitively-Grounded Flashcard Interactions for AI-Powered Spaced Repetition
- Neural-Symbolic Knowledge Tracing
- Pedagogical Safety in Educational Reinforcement Learning
- Personalized Learning
- Programming Intelligent Tutoring Systems
- Quantum Education Intelligent Tutoring
- Simulating Learners' Task-Selection Strategies and System Constraints in Mastery Learning
- StanBKT: Rethinking Parameter Estimation in Bayesian Knowledge Tracing
- Text Simplification for Intelligent Tutoring
- The Easy Trap: Why LLMs Underestimate Misconception-Driven Difficulty
- The Missing Layer: Why EdTech Needs Design-Time Generative UI, Not Just Runtime Personalization
- Touching and Feeling the Data: A Reusable Software Pipeline for Tactile Statistical Graphs in Accessible Education
- Training Pedagogical LLMs for Tutoring
- Tutoring-Specific vs. General-Purpose AI in Education
- Understanding Student Effort Using Response-Time Propensities During Problem Solving
- Why does AI unlock new possibilities in STEM education? A Bibliometric Analysis of Trends and Future Agenda