Annotated Examples And Parameterized Exercises: Analyzing Students' Behavior Patterns

ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I(2019)

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摘要
Recent studies of student problem-solving behavior have shown stable behavior patterns within student groups. In this work, we study patterns of student behavior in a richer self-organized practice context where student worked with a combination of problems to solve and worked examples to study. We model student behavior in the form of vectors of micro-patterns and examine student behavior stability in various ways via these vectors. To discover and examine global behavior patterns associated with groups of students, we cluster students according to their behavior patterns and evaluate these clusters in accordance with student performance.
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关键词
Student sequence analysis, Frequent pattern mining
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