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Download full textHansen, Christian; Hansen, Casper; Alstrup, Stephen; Lioma, Christina – International Educational Data Mining Society, 2019
In this paper we consider the problem of modelling when students end their session in an online mathematics educational system. Being able to model this accurately will help us optimize the way content is presented and consumed. This is done by modelling the probability of an action being the last in a session, which we denote as the…
Descriptors: Integrated Learning Systems, Probability, Foreign Countries, Student Behavior
Hansen, Christian; Hansen, Casper; Hjuler, Niklas; Alstrup, Stephen; Lioma, Christina – International Educational Data Mining Society, 2017
The analysis of log data generated by online educational systems is an important task for improving the systems, and furthering our knowledge of how students learn. This paper uses previously unseen log data from Edulab, the largest provider of digital learning for mathematics in Denmark, to analyse the sessions of its users, where 1.08 million…
Descriptors: Foreign Countries, Markov Processes, Mathematical Models, Student Behavior
