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Recommender systems for higher education
DozentIn: Dr. phil. Tobias Thelen
Veranstaltungstyp: Seminar
Ort: 15/133: Fr. 12:00 - 14:00 (9x), (Virtual Session (BigBlueButton via Stud.IP Meetings)): Fr. 12:00 - 14:00 (3x), (Asynchronous session: Watch the "Building a recommender" section in Courseware): Fr. 12:00 - 14:00 (1x)
Zeiten: Fr. 12:00 - 14:00 (wöchentlich)
Beschreibung: The SIDDATA project (http://siddata.de) builds and evaluates data-driven study assistants for higher education. In this seminar, we explore the possibilities of such assistants by implementing additional recommender modules. These modules may be knowledge-based and/or use machine learning to either improve existing recommendations (e.g. of courses, single course sessions or contacts to other students) or introduce new types of recommendations.
