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Dataset-Driven Research to Support Learning and Knowledge Analytics

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Title: Dataset-Driven Research to Support Learning and Knowledge Analytics
Language: English
Authors: Verbert, Katrien, Manouselis, Nikos, Drachsler, Hendrik, Duval, Erik
Source: Educational Technology & Society. 2012 15(3):133-148.
Availability: 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
Peer Reviewed: Y
Page Count: 16
Publication Date: 2012
Document Type: Journal Articles
Reports - Evaluative
Education Level: Elementary Secondary Education
Higher Education
Postsecondary Education
Descriptors: Foreign Countries, Computer Uses in Education, Information Technology, Open Source Technology, Databases, Metadata, Computer System Design, Data Analysis, Data, Information Retrieval, Program Descriptions, Educational Policy, Educational Research, Research Methodology, Research Tools, Information Sources, Programming, Comparative Analysis, Educational Trends
Geographic Terms: Australia, European Union, Massachusetts, Pennsylvania
ISSN: 1436-4522
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.)
Abstractor: As Provided
Number of References: 37
Entry Date: 2013
Access URL: https://www.ifets.info/journals/15_3/10.pdf
Accession Number: EJ992519
Database: ERIC
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  Data: Dataset-Driven Research to Support Learning and Knowledge Analytics
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  Data: 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.)
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  Data: 2013
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      – Text: English
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        PageCount: 16
        StartPage: 133
    Subjects:
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Computer Uses in Education
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      – SubjectFull: Information Technology
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