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Toward Data-Driven Analyses of Electronic Text Books. /
Boubekki, Ahcène; Kröhne, Ulf; Goldhammer, Frank et al.
Proceedings of the 8th International Conference on Educational Data Mining. Hrsg. / Olga Cristina Santos; Jesus Gonzalez Boticario; Cristobal Romero; Mykola Pechenizkiy; Agathe Merceron; Piotr Mitros; Jose Maria Luna; Christian Mihaescu; Pablo Moreno; Arnon Hershkovitz; Sebastian Ventura; Michael Desmarais. Madrid: National University for Distance Education (UNED), 2015. S. 592-593.
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Harvard
Boubekki, A, Kröhne, U, Goldhammer, F, Schreiber, W
& Brefeld, U 2015,
Toward Data-Driven Analyses of Electronic Text Books. in OC Santos, JG Boticario, C Romero, M Pechenizkiy, A Merceron, P Mitros, JM Luna, C Mihaescu, P Moreno, A Hershkovitz, S Ventura & M Desmarais (Hrsg.),
Proceedings of the 8th International Conference on Educational Data Mining. National University for Distance Education (UNED), Madrid, S. 592-593, International Conference on Educational Data Mining 2015, Madrid, Spanien,
26.06.15. <
http://www.educationaldatamining.org/EDM2015/proceedings/edm2015_proceedings.pdf>
APA
Boubekki, A., Kröhne, U., Goldhammer, F., Schreiber, W.
, & Brefeld, U. (2015).
Toward Data-Driven Analyses of Electronic Text Books. In O. C. Santos, J. G. Boticario, C. Romero, M. Pechenizkiy, A. Merceron, P. Mitros, J. M. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, & M. Desmarais (Hrsg.),
Proceedings of the 8th International Conference on Educational Data Mining (S. 592-593). National University for Distance Education (UNED).
http://www.educationaldatamining.org/EDM2015/proceedings/edm2015_proceedings.pdf
Vancouver
Boubekki A, Kröhne U, Goldhammer F, Schreiber W
, Brefeld U.
Toward Data-Driven Analyses of Electronic Text Books. in Santos OC, Boticario JG, Romero C, Pechenizkiy M, Merceron A, Mitros P, Luna JM, Mihaescu C, Moreno P, Hershkovitz A, Ventura S, Desmarais M, Hrsg., Proceedings of the 8th International Conference on Educational Data Mining. Madrid: National University for Distance Education (UNED). 2015. S. 592-593
Bibtex
@inbook{47bbd12dc7494e67899b2fef6665d113,
title = "Toward Data-Driven Analyses of Electronic Text Books",
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 andpropose a probabilistic clustering using expectation maximisation to detect groups of similar (i) sessions and (ii) users.",
keywords = "Informatics, Business informatics",
author = "Ahc{\`e}ne Boubekki and Ulf Kr{\"o}hne and Frank Goldhammer and Waltraud Schreiber and Ulf Brefeld",
year = "2015",
language = "English",
isbn = "978-84-606-9425-0",
pages = "592--593",
editor = "Santos, {Olga Cristina} and Boticario, {Jesus Gonzalez} and Cristobal Romero and Mykola Pechenizkiy and Agathe Merceron and Piotr Mitros and Luna, {Jose Maria} and Christian Mihaescu and Pablo Moreno and Arnon Hershkovitz and Sebastian Ventura and Michael Desmarais",
booktitle = "Proceedings of the 8th International Conference on Educational Data Mining",
publisher = "National University for Distance Education (UNED)",
address = "Spain",
note = "International Conference on Educational Data Mining 2015, EDM 2015 ; Conference date: 26-06-2015 Through 29-06-2015",
url = "http://educationaldatamining.org/EDM2015/",
}
RIS
TY - CHAP
T1 - Toward Data-Driven Analyses of Electronic Text Books
AU - Boubekki, Ahcène
AU - Kröhne, Ulf
AU - Goldhammer, Frank
AU - Schreiber, Waltraud
AU - Brefeld, Ulf
N1 - Conference code: 8
PY - 2015
Y1 - 2015
N2 - 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 andpropose a probabilistic clustering using expectation maximisation to detect groups of similar (i) sessions and (ii) users.
AB - 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 andpropose a probabilistic clustering using expectation maximisation to detect groups of similar (i) sessions and (ii) users.
KW - Informatics
KW - Business informatics
M3 - Article in conference proceedings
SN - 978-84-606-9425-0
SP - 592
EP - 593
BT - Proceedings of the 8th International Conference on Educational Data Mining
A2 - Santos, Olga Cristina
A2 - Boticario, Jesus Gonzalez
A2 - Romero, Cristobal
A2 - Pechenizkiy, Mykola
A2 - Merceron, Agathe
A2 - Mitros, Piotr
A2 - Luna, Jose Maria
A2 - Mihaescu, Christian
A2 - Moreno, Pablo
A2 - Hershkovitz, Arnon
A2 - Ventura, Sebastian
A2 - Desmarais, Michael
PB - National University for Distance Education (UNED)
CY - Madrid
T2 - International Conference on Educational Data Mining 2015
Y2 - 26 June 2015 through 29 June 2015
ER -
