A contingency table derived method for analyzing course data

Ahadi, A; Hellas, A; Lister, R

A contingency table derived method for analyzing course data

Ahadi, A

Hellas, A Lister, R

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Publication Type:: Journal Article
Citation:: ACM Transactions on Computing Education, 2017, 17 (3)
Issue Date:: 2017-08-01

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Field	Value	Language
dc.contributor.author	Ahadi, A https://orcid.org/0000-0002-2018-3065	en_US
dc.contributor.author	Hellas, A	en_US
dc.contributor.author	Lister, R https://orcid.org/0000-0001-5780-0445	en_US
dc.date.issued	2017-08-01	en_US
dc.identifier.citation	ACM Transactions on Computing Education, 2017, 17 (3)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/124575
dc.description.abstract	© 2017 ACM. 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.	en_US
dc.relation.ispartof	ACM Transactions on Computing Education	en_US
dc.relation.isbasedon	10.1145/3123814	en_US
dc.relation.isreplacedby	10453/80230
dc.relation.isreplacedby	http://hdl.handle.net/10453/80230
dc.subject.classification	Education	en_US
dc.title	A contingency table derived method for analyzing course data	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	17	en_US
utslib.for	0899 Other Information And Computing Sciences	en_US
utslib.for	0802 Computation Theory and Mathematics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	closed_access
pubs.declined	2018-05-28T08:45:44.918+1000
pubs.merge-to	10453/80230
pubs.merge-to	http://hdl.handle.net/10453/80230
pubs.deleted	2018-05-28T08:45:44.918+1000
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	17	en_US

Abstract:

© 2017 ACM. 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.

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http://hdl.handle.net/10453/124575