Bayesian network predicts dropout risk in continuing education learners
A new Bayesian network framework predicts dropout risk in online continuing education with 88.9 percent cross-validated accuracy and recommends personalized ...
A new Bayesian network framework predicts dropout risk in online continuing education with 88.9 percent cross-validated accuracy and recommends personalized ...
A new study finds that gamification boosts learners' intention to keep using MOOCs through two psychological pathways, goal commitment and ...
Kazakhstani researchers have built a trilingual AI knowledge graph that links university curricula, live job vacancies, and online courses, using ...
A bibliometric analysis of 163 studies from 2000 to 2023 maps four decades of blended learning research in programming education ...
A survey of 2,531 Indonesian teachers finds broadly positive perceptions of MOOC-based professional development, with institutional support rated lowest and ...
Researchers have developed a unified graph-based recommendation method that sequences online learning resources according to conceptual dependencies and learner behavior.
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine