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Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs
Hawkes processes have been shown to be efficient in modeling bursty sequences in a variety of applications, such as finance and social network activity analysis.
Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling
However, previous attempts on dynamic modeling of student procrastination suffer from major issues: they are unable to predict the next activity times, cannot deal with missing activity history, are not personalized, and disregard important course properties, such as assignment deadlines, that are essential in explaining the cramming behavior.
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