PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 1, 1993Behaviour and Information Technology29 citations

Computer user training and attitudes: a study of business undergraduates

View Full Paper
GTGholamreza TorkzadehUniversity of Nevada, Las VegasXKXenophon KoufterosTexas A&M University

Key Points

Key points are not available for this paper at this time.

Abstract

Abstract For many users, the first real encounter with a computer occurs when taking an introductory course to computers at a college. To the extent that these training courses impact user understanding and motivation, they are important determinants of the user attitudes towards computers and merit serious assessment. Using 327 business undergraduates at two universities in the US, this paper reports on the reactions of students to computers and computer-related tasks before and after an introductory course to computers. Responses to a 20-item scale were analysed to examine the pattern of attitude change experienced by students in their training course. Factor analysis revealed five constructs for describing patterns of computer user attitude: negative reaction to computers; positive reaction to computers; reaction to computers for children education; reaction to computer-mediated services; and reaction to computer games. Four factors show significant change in mean scores after the training courses. The attitudes changed for males more than females, indicating improvement in attitudes. The respondents‘ attitude to computer-mediated services remained unchanged. While the directions of changes indicate an overall improvement in respondents’ reactions, many attitudes did not change significantly after having taken the training courses. This may be due to the content or the format of these courses.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Torkzadeh et al. (1993) studied this question.

synapsesocial.com/papers/6a125f068793652519a5fd4bhttps://doi.org/10.1080/01449299308924392
Ask AI
Helpful
Bookmark
Share
View Full Paper