What Best Predicts Computer Proficiency?

Gerald E. Evans; Mark G. Simkin

doi:10.1145/68814.68817

What Best Predicts Computer Proficiency?

Gerald E. Evans, Mark G. Simkin

Management Information Systems

University of Nevada, Reno

Research output: Contribution to journal › Article › peer-review

107 Scopus citations

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.

Original language	English
Pages (from-to)	1322-1327
Number of pages	6
Journal	Communications of the ACM
Volume	32
Issue number	11
DOIs	https://doi.org/10.1145/68814.68817
State	Published - Jan 11 1989

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10.1145/68814.68817

Cite this

@article{cd1b0bf979454ecf956dd8260807c6e5,

title = "What Best Predicts Computer Proficiency?",

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.",

author = "Evans, {Gerald E.} and Simkin, {Mark G.}",

year = "1989",

month = jan,

day = "11",

doi = "10.1145/68814.68817",

language = "English",

volume = "32",

pages = "1322--1327",

journal = "Communications of the ACM",

issn = "0001-0782",