Concept: Online Learning and Analytics
Logistic regression model of the perceived academic performance of college students in an online learning setting
What predicts how college students perceive their academic success in online classes
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
Open data, private learners: a de-identified student activity and performance dataset for learning analytics
A de-identified dataset of student interactions and grades for advancing educational data science
A Bandit-Based Approach to Educational Recommender Systems: Contextual Thompson Sampling for Learner Skill Gain Optimization
Personalizing math practice sequences to maximize individual student learning gains
Targeting students’ interests to facilitate their learning of data science
Personalized content boosted student engagement and test performance by 16%
Gurukulya: An AI-Powered Smart Campus Education Platform
AI-powered tutoring with emotion awareness and automated exam scoring
Smarter Together: Enhancing Human-AI Collaborative Grading With Teacher-Cognition Multi-Agent LLM Framework
AI framework that mimics teacher reasoning to improve accuracy and transparency in automated grading
The Role of Linguists in Understanding and Shaping Generative AI in Education
How AI language patterns shape learning, feedback, and student responsibility
