ERIC Number: ED657574
Record Type: Non-Journal
Publication Date: 2024
Pages: 269
Abstractor: As Provided
ISBN: 979-8-3827-8498-4
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EISSN: N/A
Available Date: N/A
Predictability of Rural Teachers' 21st Century Digital Skills Based on Their Perceptions of Technology
Jacqueline Renee Robinson
ProQuest LLC, Ed.D. Dissertation, Grand Canyon University
Worldwide, the COVID-19 pandemic and the growing reliance on technology underscored the need for K-12 teachers to be digitally competent and able to teach their students 21st century digital skills. The purpose of this quantitative correlational predictive study was to examine if and to what extent perceived usefulness of technology and perceived ease of use of technology, individually and collectively, significantly predict six 21st century digital skills (information management, information evaluation, communication, collaboration, critical thinking/creativity, and problem solving) of teachers in rural K-12 public schools in the United States. The study was guided by the Technology Acceptance Model (TAM) and the 21st Century Digital Skills Model. Qualtrics was used to collect data from a convenience sample of 156 teachers. Two research questions asked about the collective and the individual predictive relationships of the two predictors and the six criteria. Six multiple linear regressions found that perceived usefulness of technology and perceived ease of use of technology, considered together, had statistically significant relationships with all six criterion variables. Their strongest predictive relationship was with communication skills (adj. R[superscript 2] = 0.238, F(2, 153) = 25.249, p < 0.001) and the weakest with information evaluation skills (adj. R[superscript 2] = 0.085, F(2, 152) = 8.135, p < 0.001). The predictors considered individually within each model had different impact on each of the six criteria. The findings justify future research on teacher perceptions of technology and their 21st century digital skills. Control variables should be included to obtain information that could guide precisely targeted interventions, as education technologies evolve. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
Descriptors: Prediction, 21st Century Skills, Teacher Attitudes, Rural Schools, Elementary Secondary Education, Public Schools, Usability, Technology Uses in Education, Technology Integration
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Elementary Secondary Education
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Language: English
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