Dataset-Driven Research to Support Learning and Knowledge Analytics
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| Title: | Dataset-Driven Research to Support Learning and Knowledge Analytics |
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| 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 |
| 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.) |
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| ISSN: | 1436-4522 |
