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Autor*innen: Boubekki, Ahcène; Kröhne, Ulf; Goldhammer, Frank; Schreiber, Waltraut; Brefeld, Ulf
Titel: Toward data-driven analyses of electronic text books
Aus: Santos, O. C.; Boticario, J. G.; Romero, C.; Pechenizkiy, M.; Merceron, A.; Mitros, P.; Luna, J. M.; Mihaescu, C.; Moreno, P.; Hershkovitz, A.; Ventura, S.; Desmarais, M. (Hrsg.): Proceedings of the International Conference on Educational Data Mining (EMD 2015) 26-29 June Madrid, Spain, Madrid: International Educational Data Mining Society, 2015 , S. 592-593
URL: http://www.educationaldatamining.org/EDM2015/proceedings/poster592-593.pdf
Dokumenttyp: 4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Sprache: Englisch
Schlagwörter: Analyse; Belgien; Elektronisches Buch; Empirische Untersuchung; Geschichtsunterricht; Logdatei; Nutzerverhalten; Nutzung; Schulbuch; Typologie
Abstract (english): 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. (DIPF/Orig.)
DIPF-Abteilung: Informationszentrum Bildung