2017
Contextual multi-armed bandit algorithms for personalized learning action selection
ICASSP 2017accepted
Optimizing the selection of learning resources and practice questions to address each individual student's needs has the potential to improve students' learning efficiency. In this paper, we study the problem of selecting a personalized learning action for each student (e.g. watching a lecture video…