Title
A case for data-driven testing
Abstract
This paper describes a novel approach to the on-line assessment of large groups of students, in which it may be desirable to maintain common questions between the groups. It is clear from the literature that computer based assessment has the potential to dramatically reduce the effort involved in testing and marking however problems arise where the cohort of students is larger than the number of available computers. However, the opposite situation is often true in practice, due to the perceived need to design multiple tests. The solution described here uses a small computer laboratory (20 machines) to administer a test to a series of groups of students in existing lab sessions. Each group receives the same set of questions but the data to which the questions apply, and hence the test answers, vary from group to group. The data from tests that have been applied to students is analysed to determine whether discussions with early candidates have influenced the performance of students in later testing sessions.
Year
DOI
Venue
2000
10.1145/343048.343163
Proceedings of the 5th annual SIGCSE/SIGCUE ITiCSEconference on Innovation and technology in computer science education
Keywords
Field
DocType
pedagogy,multiple testing,java
Computer science,Data-driven testing,Java,Multimedia
Conference
Volume
Issue
ISBN
32
3
1-58113-207-7
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Tony Greening18623.42
Glenn Stevens200.68
David Stratton311.45