Concept: Online Learning and Analytics
Preferences and detail mattered most in supplementary materials
How student preferences and learning styles affect software engineering course material ratings

AI in higher education offers benefits and raises governance concerns
Opportunities and risks of AI adoption across teaching, assessment, and institutional governance

GenAI literacy training improved teacher education students’ self-efficacy
Training teachers to engage critically with artificial intelligence in education

Students valued an AI learning assistant but had ethical concerns
Student adoption and trust barriers in AI-assisted engineering learning

Bayesian network modelling for predicting employment tendency and major matching of vocational education students
Predicting career paths for vocational students using probabilistic modelling

Students viewed generative AI as useful but risky
Student perspectives on generative AI benefits and academic integrity risks

Deep learning classified GPA using family and psychological factors
Deep learning model predicts student grades using family background and mental health factors

Online academic self-concept partly explains perceived performance
What predicts how college students perceive their academic success in online classes












