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Computer attitudes, self-efficacy, and usage of children and their parents: viewed through the gender lens
Publisher:
  • Texas Woman's University
  • Denton, TX
  • United States
ISBN:978-1-109-02056-4
Order Number:AAI3347072
Pages:
369
Reflects downloads up to 21 Nov 2024Bibliometrics
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Abstract

I This research concurrently examined the computer attitudes, self-efficacy, and usage of parents and of their children ages 10–14 years residing in the Tarrant County area. Additional objectives were to examine gender differences in parents' and their children's computer attitudes, self-efficacy, and usage, as well as to explore factors that may contribute to them. The instruments used by parents in this study were: Computer Self-Efficacy Scale (CSE), Parents' Attitudes Toward Computers (PAC), and the Parental Computer Usage and Demographics Questionnaire. Children were administered: Computer Self-Efficacy Scale (CSE), the Computer Attitude Questionnaire (CAQ - child), and the Child Computer Usage and Demographic Questionnaire. Quantitative methodology was utilized to collect and interpret the data. Findings revealed a significant positive correlation between parents and their children's attitude toward computers, indicating that parents who had higher computer attitudes tended to have children who had higher computer attitudes. Parents and their children had statistically similar self-efficacy scores. There was no statistically significant positive relationship between parents' computer usage and their children's computer usage. Children's computer usage during the week totaled an average of 9.56 hours. Parents' average computer usage during the week was 24.42 hours. Investigation of the role that gender plays in children's and their parents' computer attitude, self-efficacy, and usage did not show statistically significant differences between boys and girls or between male and female parents. There was, however, a gender difference in the child's favorite and worst academic subjects. The results failed to reveal any significant predictors for child computer attitudes, self-efficacy or usage.

Contributors
  • Texas Woman's University
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