GLA: A Generic Analytics Tool for e-Learning

Schön, Daniel ; Sikora, Steffen ; Kopf, Stephan ; Effelsberg, Wolfgang

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Document Type: Conference or workshop publication
Year of publication: 2014
Book title: Proceedings of DeLFI Workshops 2014 co-located with 12th e-Learning Conference of the German Computer Society (DeLFI 2014) Freiburg, Germany, September 15, 2014
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 1227
Page range: 112-115
Date of the conference: 15.09.2014
Publisher: Rensing, Christoph
Place of publication: Aachen, Germany
Publishing house: RWTH Aachen
ISSN: 1613-0073
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg 1989-2017)
Subject: 004 Computer science, internet
370 Education
Abstract: Several software applications are used at the University of Mannheim for learning and teaching purposes. The majority of them, like lecture feedback, quizzes, forums, and wikis, are hosted within our learning management system ILIAS. In addition, we run several prototypes of serious games and mobile feedback systems. While the data generated by students and teachers is mainly used for current courses, it could be further used for Learning Analytics if it was stored in an adequate format. Considering the variable and fast-moving nature of our learning applications, we invented a concept for a generic database structure, that can handle analyses on a variety of original tools. This paper presents the prototype application GLA (Generic Learning Analytics), which tries to provide a step in the right direction. Data from wikis, forums, quizzes and serious games transformed into one homogeneous format that can be used to do comparable analyzes. Beside comparing several semesters and courses of one application, we can also match related data sets e. g. user behavior between a wiki and a file upload.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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