Computer-based Aptitude Testing
Computer-Based Aptitude Testing is a form of aptitude assessment that utilizes computerized platforms to administer, score, and interpret standardized tests designed to measure an individual's cognitive abilities, skills, or potential for learning, distinguishing it from traditional paper-and-pencil methods through its reliance on digital technology for adaptive testing, automated scoring, and immediate feedback.
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What best predicts computer proficiency?
Gerald E. Evans, Mark Simkin · Communications of the ACM · 1989 · 204 citations · Full text
John Konvalina, Stanley Wileman, Larry J. Stephens · Communications of the ACM · 1983 · 105 citations · Full text
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University of Nebraska at Omaha
Omaha, United States
3 h-index
9 publications
483 citations

University of North Carolina at Charlotte
Charlotte, United States
3 h-index
3 publications
153 citations

Aarhus University
Aarhus, Denmark
2 h-index
4 publications
190 citations

University West
Trollhättan, Sweden
2 h-index
2 publications
95 citations
Indiana University
Bloomington, United States
2 h-index
2 publications
56 citations
Claremont Graduate University
Claremont, United States
1 h-index
3 publications
39 citations
University of Pittsburgh
Pittsburgh, United States
1 h-index
1 publications
10 citations
Bridgewater State University
Bridgewater, United States
1 h-index
2 publications
24 citations
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4 publications · 193 citations
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3 publications · 382 citations
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3 publications · 106 citations
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3 publications · 162 citations
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2 publications · 28 citations
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