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Dataset-Driven Research to Support Learning and Knowledge Analytics
ARTICLE

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Journal of Educational Technology & Society Volume 15, Number 3, ISSN 1176-3647 e-ISSN 1176-3647

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. (Contains 3 tables and 7 figures.)

Citation

Verbert, K., Manouselis, N., Drachsler, H. & Duval, E. (2012). Dataset-Driven Research to Support Learning and Knowledge Analytics. Journal of Educational Technology & Society, 15(3), 133-148. Retrieved October 17, 2019 from .

This record was imported from ERIC on April 18, 2013. [Original Record]

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Keywords