A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns

EDM 2013
Volume: 5, Issue: 1, Pages: 190 - 219
Published: May 1, 2013
Abstract
Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify dierentially frequent patterns between groups of students (e.g., experimental versus control conditions or high...
Paper Details
Title
A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns
Published Date
May 1, 2013
Journal
Volume
5
Issue
1
Pages
190 - 219
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