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ERIC Number: EJ992519
Record Type: Journal
Publication Date: 2012
Pages: 16
Abstractor: As Provided
Reference Count: 37
ISBN: N/A
ISSN: ISSN-1436-4522
Dataset-Driven Research to Support Learning and Knowledge Analytics
Verbert, Katrien; Manouselis, Nikos; Drachsler, Hendrik; Duval, Erik
Educational Technology & Society, v15 n3 p133-148 2012
In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced learning, as there are various sources of data that have not been identified and documented exhaustively. In this paper, we provide such an analysis of datasets that can be used for research on learning and knowledge analytics. First, we present a framework for the analysis of educational datasets. Then, we analyze existing datasets along the dimensions of this framework and outline future challenges for the collection and sharing of educational datasets. (Contains 3 tables and 7 figures.)
International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site: http://www.ifets.info
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Elementary Secondary Education; Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Australia; European Union; Massachusetts; Pennsylvania