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文章基本信息

  • 标题:Dataset-Driven Research to Support Learning and Knowledge Analytics
  • 作者:Katrien Verbert ; Nikos Manouselis ; Hendrik Drachsler
  • 期刊名称:Educational Technology and Society
  • 印刷版ISSN:1176-3647
  • 电子版ISSN:1436-4522
  • 出版年度:2012
  • 卷号:15
  • 期号:3
  • 页码:133?48
  • 出版社:IFETS - Attn Kinshuck
  • 摘要: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.
  • 关键词:Learning and knowledge analytics; Datasets; Open science
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