A contingency table derived method for analyzing course data

Alireza Ahadi; Arto Hellas; Raymond Lister

doi:10.1145/3123814

A contingency table derived method for analyzing course data

Alireza Ahadi, Arto Hellas, Raymond Lister

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

We describe a method for analyzing student data from online programming exercises. Our approach uses contingency tables that combine whether or not a student answered an online exercise correctly with the number of attempts that the student made on that exercise. We use this method to explore the relationship between student performance on online exercises done during semester with subsequent performance on questions in a paper-based exam at the end of semester. We found that it is useful to include data about the number of attempts a student makes on an online exercise.

Original language	English
Article number	13
Number of pages	19
Journal	ACM Transactions on Computing Education
Volume	17
Issue number	3
DOIs	https://doi.org/10.1145/3123814
Publication status	Published - Aug 2017
Externally published	Yes

Keywords

data mining
programming novices
Java

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10.1145/3123814

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A contingency table derived method for analyzing course data

Abstract

Keywords

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