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A Contingency Table Derived Method for Analyzing Course Data

A Contingency Table Derived Method for Analyzing Course Data 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Computing Education (TOCE) Association for Computing Machinery

A Contingency Table Derived Method for Analyzing Course Data

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References (54)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2017 ACM
ISSN
1946-6226
eISSN
1946-6226
DOI
10.1145/3123814
Publisher site
See Article on Publisher Site

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.

Journal

ACM Transactions on Computing Education (TOCE)Association for Computing Machinery

Published: Aug 28, 2017

Keywords: Data mining

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