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Autor
Zakrzewska Danuta (Lodz University of Technology, Poland)
Tytuł
On Using Data Mining Techniques for Context-Aware Student Grouping in E-Learning Systems
Źródło
Information Systems in Management, 2014, vol. 3, nr 1, s. 77-88, tab., bibliogr. 26 poz.
Systemy Informatyczne w Zarządzaniu
Słowa kluczowe
Studenci, Zdalne nauczanie, Data Mining
Students, e-learning, Data Mining
Uwagi
summ.
Abstrakt
Performance of an e-learning system depends on an extent to which it is adjusted to student needs. Priorities of the last ones may differ in accordance with the context of use of an e-learning environment. For personalized e-learning system based on student groups, different distribution of the groups should be taken into account. In the paper, using of data mining techniques for building student groups depending on the context of the system use is considered. As the main technique unsupervised classification is examined,. Context parameters depending on courses and student models are tested. Experiment results for real student data are discussed. (original abstract)
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Bibliografia
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ISSN
2084-5537
Język
eng
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