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id: 37075

Data-driven analyses of electronic text books Boubekki, Ahcène; Kröhne, Ulf; Schreiber, Waltraud; Goldhammer, Frank; Brefeld, Ulf Book Chapter | Aus: Michaelis, Stefan;Piatkowski, Nico;Stolpe, Marco (Hrsg.): Solving large scale learning tasks: Challenges and algorithms; Essays dedicated to Katharina Morik on the occasion of her 60th birthday | Cham: Springer | 2016 37075 Endnote: Author(s): Boubekki, Ahcène; Kröhne, Ulf; Schreiber, Waltraud; Goldhammer, Frank; Brefeld, Ulf
Title: Data-driven analyses of electronic text books
In: Michaelis, Stefan;Piatkowski, Nico;Stolpe, Marco (Hrsg.): Solving large scale learning tasks: Challenges and algorithms; Essays dedicated to Katharina Morik on the occasion of her 60th birthday, Cham: Springer, 2016 (Lecture notes in computer science, 9580), S. 362-376
DOI: 10.1007/978-3-319-41706-6_20
Publication Type: 4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)
Language: Englisch
Abstract: 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. We compare our approach to a standard K-means clustering and report on findings that may have a direct impact on preparing and revising lessons. (DIPF/Orig.)
DIPF-Departments: Bildungsqualität und Evaluation; Informationszentrum Bildung