A Contingency Table Derived Method for Analyzing Course Data

Author:

Ahadi Alireza1ORCID,Hellas Arto2,Lister Raymond1

Affiliation:

1. University of Technology, Sydney, Australia

2. University of Helsinki, Helsinki, Finland

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Education,General Computer Science

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