eprintid: 30153 rev_number: 14 eprint_status: archive userid: 19147 dir: disk0/00/03/01/53 datestamp: 2019-02-28 14:10:48 lastmod: 2021-04-02 15:59:32 status_changed: 2019-02-28 14:10:48 type: conference_item metadata_visibility: show creators_name: Bovo, Angela creators_name: Sanchez, Stéphane creators_name: Heguy, Olivier creators_name: Duthen, Yves creators_idrefppn: 183135180 creators_idrefppn: 078096898 creators_idrefppn: 061330302 title: Analysis of students clustering results based on Moodle log data subjects: subjects_INFO abstract: This paper describes a proposal of relevant clustering features and the results of experiments using them in the context of determining students' learning behaviors by mining Moodle log data. Our clustering experiments tried to show whether there is an overall ideal number of clusters and whether the clusters show mostly qualitative or quantitative differences. They were carried out using real data obtained from various courses dispensed by a partner institute using a Moodle platform. We have compared several classic clustering algorithms on several group of students using our defined features and analysed the meaning of the clusters they produced. date: 2013 publisher: Academy Publisher faculty: info divisions: IRIT keywords: Clustering - Moodle - Analysis - Prediction language: en has_fulltext: TRUE view_date_year: 2013 full_text_status: public pres_type: paper pagerange: 306-307 event_title: 6th International Conference on Educational Data Mining - EDM 2013 event_type: conference harvester_local_overwrite: eprintid harvester_local_overwrite: userid harvester_local_overwrite: date harvester_local_overwrite: official_url harvester_local_overwrite: issn harvester_local_overwrite: dir harvester_local_overwrite: keywords harvester_local_overwrite: pagerange harvester_local_overwrite: publisher harvester_local_overwrite: volume harvester_local_overwrite: creators_name harvester_local_overwrite: faculty harvester_local_overwrite: site harvester_local_overwrite: abstract harvester_local_overwrite: title harvester_local_overwrite: publication harvester_local_overwrite: type harvester_local_overwrite: number harvester_local_overwrite: note harvester_local_overwrite: ispublished harvester_local_overwrite: id_number harvester_local_overwrite: event_title harvester_local_overwrite: pres_type harvester_local_overwrite: event_location harvester_local_overwrite: series harvester_local_overwrite: isbn harvester_local_overwrite: book_title harvester_local_overwrite: editors_name harvester_local_overwrite: department harvester_local_overwrite: thesis_type harvester_local_overwrite: pages harvester_local_overwrite: place_of_pub harvester_local_overwrite: divisions harvester_local_overwrite: subjects harvester_local_overwrite: language harvester_local_overwrite: event_type harvester_local_overwrite: creators_idrefppn site: ut1 citation: Bovo, Angela , Sanchez, Stéphane, Heguy, Olivier and Duthen, Yves (2013) Analysis of students clustering results based on Moodle log data. In: 6th International Conference on Educational Data Mining - EDM 2013. document_url: https://publications.ut-capitole.fr/id/eprint/30153/1/assistant_20255169_2746093851_0.pdf