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Author Evans, Gerald E. ♦ Simkin, Mark G.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Identifying variables that predict computer aptitude can help educators and employers target potential students and employees. The authors examine a number of possible explanatory variables including demographic profiles, high school achievements, prior computer training and experience, cognitive styles, and problem-solving abilities.
Description Affiliation: Univ. of Nevada, Reno (Simkin, Mark G.) || Univ. of Montana, Missoula (Evans, Gerald E.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 32
Issue Number 11
Page Count 6
Starting Page 1322
Ending Page 1327


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Source: ACM Digital Library