Toward Data-Driven Analyses of Electronic Text Books

نویسندگان

  • Ahcène Boubekki
  • Ulf Kröhne
  • Frank Goldhammer
  • Waltraud Schreiber
  • Ulf Brefeld
چکیده

We present data-driven log file analyses of an electronic text book for history, called the mBook, to support teachers in preparing lessons for their students. We represent user sessions as contextualised Markov processes of user sessions and propose a probabilistic clustering using expectation maximisation to detect groups of similar (i) sessions and (ii) users.

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تاریخ انتشار 2015