Title: Dataset-driven research to support learning and knowledge analytics
Authors: Verbert, Katrien ×
Manouselis, Nikos
Drachsler, Hendrik
Duval, Erik #
Issue Date: Jun-2012
Publisher: International Forum of Educational Technology & Society
Series Title: Educational Technology and Society vol:15 issue:3 pages:133-148
Abstract: 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.
ISSN: 1436-4522
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
laksi2012-cameraready.pdfMain article Accepted 2170KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science