Educational data mining : an experience in UTN FRRe
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2018-03-13
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Abstract
This paper proposes the use of Data Warehousing and Data Mining techniques on performance, social, economic, demographic and cultural data from students who took “Algorithms and Data Structures”, which is a subject in the Information Systems Engineering curricula at UTN-FRRe (Resistencia, Chaco, Argentina), to establish generic academic performance profiles.
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academic performance, educational data mining, predictive data mining, higher education, course assessment, student assessment
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Except where otherwised noted, this item's license is described as info:eu-repo/semantics/openAccess