Toward Data-Driven Analyses of Electronic Text Books
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Authors
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.
propose a probabilistic clustering using expectation maximisation to detect groups of similar (i) sessions and (ii) users.
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings of the 8th International Conference on Educational Data Mining |
| Herausgeber | 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 |
| Anzahl der Seiten | 2 |
| Erscheinungsort | Madrid |
| Verlag | National University for Distance Education (UNED) |
| Erscheinungsdatum | 2015 |
| Seiten | 592-593 |
| ISBN (Print) | 978-84-606-9425-0 |
| Publikationsstatus | Erschienen - 2015 |
| Extern publiziert | Ja |
| Veranstaltung | International Conference on Educational Data Mining 2015 - Madrid, Spanien Dauer: 26.06.2015 → 29.06.2015 Konferenznummer: 8 http://educationaldatamining.org/EDM2015/ |
- Informatik
- Wirtschaftsinformatik