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ICMLA
2004

Mining interesting contrast rules for a web-based educational system

10 years 5 months ago
Mining interesting contrast rules for a web-based educational system
Web-based educational technologies allow educators to study how students learn (descriptive studies) and which learning strategies are most effective (causal/predictive studies). Since web-based educational systems collect vast amounts of student profile data, data mining and knowledge discovery techniques can be applied to find interesting relationships between attributes of students, assessments, and the solution strategies adopted by students. This paper focuses on the discovery of interesting contrast rules, which are sets of conjunctive rules describing interesting characteristics of different segments of a population. In the context of webbased educational systems, contrast rules help to identify attributes characterizing patterns of performance disparity between various groups of students. We propose a general formulation of contrast rules as well as a framework for finding such patterns. We apply this technique to an online educational system developed at Michigan State Univer...
Behrouz Minaei-Bidgoli, Pang-Ning Tan, William F.
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where ICMLA
Authors Behrouz Minaei-Bidgoli, Pang-Ning Tan, William F. Punch
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