Concept: Intelligent Tutoring Systems and Adaptive Learning
Beyond Scores: Explainable Intelligent Assessment Strengthens Pre-service Teachers’ Assessment Literacy
How explainable AI helps future teachers develop better assessment skills
AI meets Mathematics Education: Supporting Instructors in Large Mathematics Classes with Context-Aware AI
Using AI to answer student questions in large calculus courses
Exploring K-3 Teachers’ Uses, Perceived Benefits, and Challenges of Generative AI in Early Writing Instruction
Early elementary teachers widely use AI for lesson prep but hesitate with student writing tasks
Directive, metacognitive, or a blend of both? A comparison of AI-generated feedback types on student engagement, confidence, and outcomes
How AI feedback types affect student revisions and learning outcomes
Harnessing Generative AI to Facilitate Epistemic Understanding of Students in Scientific Inquiry
AI-assisted feedback for understanding how students think about scientific investigation
AlphaLearn: A Multi-Objective Evolutionary Framework for Fair and Adaptive Optimization of E-Learning Pathways
An evolutionary framework for personalized learning that balances effectiveness with fairness
Data augmented hybrid GCN transformer for student engagement recognition in E-learning
Monitoring student engagement from facial video using balanced data and dual neural architectures
Reimagining Course Objectives in the Age of AI
Redesigning learning objectives as AI systems reshape educational priorities
A Research Course to Develop AI Tools for K–12 Learning
University students create AI learning tools tested with K-12 learners
Designing Formative Adaptive Assessment for Engineering Education
Using personalized digital testing to improve engineering student learning and instructor feedback
