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Dataset-Driven Research to Support Learning and Knowledge Analytics

by Katrien Verbert , Hendrik Drachsler , Erik Duval , Nikos Manouselis

in Algorithms / Analytics / Australia / Child Language / Collaborative learning / Community Resources / Comparative Analysis / Computer System Design / Computer Uses in Education / Conferences (Gatherings) / Cooperative Learning / Copyrights / Data / Data Analysis / Data mining / Datasets / Education / Educational activities / Educational environment / Educational evaluation / Educational Policy / Educational Research / Educational resources / Educational technology / Educational Trends / Electronic data processing / Elementary Secondary Education / European Union / Experimentation / Experiments / Foreign Countries / Influence of Technology / Information Retrieval / Information Sources / Information Technology / Intelligence / Intelligent Tutoring Systems / Knowledge management / Language Acquisition / Learning / Learning Analytics / Massachusetts / Mathematics Education / Metadata / Methods / Network Analysis / Open Source Technology / Pennsylvania / Program Descriptions / Programming / Research datasets / Research Methodology / Research Tools / Researchers / Science / Special Issue Articles / Technology adoption

2012

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Dataset-Driven Research to Support Learning and Knowledge Analytics

by Katrien Verbert , Hendrik Drachsler , Erik Duval , Nikos Manouselis

2012

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Dataset-Driven Research to Support Learning and Knowledge Analytics

by Katrien Verbert , Hendrik Drachsler , Erik Duval , Nikos Manouselis

2012

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Journal Article

Dataset-Driven Research to Support Learning and Knowledge Analytics

Katrien Verbert,

Hendrik Drachsler,

Erik Duval,

Nikos Manouselis

2012

Overview

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.

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Publisher

International Forum of Educational Technology ＆ Society,International Forum of Educational Technology & Society

Subject

/ Collaborative learning

/ Community Resources

/ Comparative Analysis