Study Session Dropout in Mobile Learning (Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment)
Study session is defined as user's continuous interactions, and time interval between interactions is less than an hour, if user is inactive for more than an hour then there is a study dropout. The study sessions can be quite helpful in ITS, each session contains information about user in short term while the combining sessions can provide information about user in long term, therefore study sessions and user dropout can be helpful for defining user paths. In this paper the authors want to predict the probability of student dropout from an ongoing study session.
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Introduction (Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment)
Related Work (Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment)
Study Session Dropout in Mobile Learning (Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment)
Propose Method (Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment)
Dataset (Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment)
Experiment (Deep Attentive Study Session Dropout Prediction in Mobile Learning Environment)