Toward Data-Driven Analyses of Electronic Text Books
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 8th International Conference on Educational Data Mining |
| Editors | 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 |
| Number of pages | 2 |
| Place of Publication | Madrid |
| Publisher | National University for Distance Education (UNED) |
| Publication date | 2015 |
| Pages | 592-593 |
| ISBN (print) | 978-84-606-9425-0 |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | International Conference on Educational Data Mining 2015 - Madrid, Spain Duration: 26.06.2015 → 29.06.2015 Conference number: 8 http://educationaldatamining.org/EDM2015/ |
- Informatics
- Business informatics