Predicting Technology Use in K-12 Classrooms
PROCEEDINGS
Rebecca Watts, Middle Tennessee State University, United States
Society for Information Technology & Teacher Education International Conference, in Charleston, SC, USA ISBN 978-1-880094-67-9 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
Abstract
This paper reports the psychometric properties of the Survey of Attitudes and Acceptance of Technology for Teaching (SAATT), a 25-item instrument developed to measure constructs shown to predict technology use. These constructs include: (1) perceived usefulness of technology, (2) perceived ease of use of technology, (3) self-efficacy in technology use, and (4) actual use of technology in the classroom. Factor analytic methods extracted these four components, and the items with their highest loadings on these factors were identified. Cronbach’s alpha coefficients for the factors ranged from .80 to .91, and alpha for the entire scale was .81. Statistical analysis regressed the perceived usefulness of technology, perceived ease of use of technology, and self-efficacy in technology use on actual classroom use of technology. Findings from 259 public school teachers indicated that teachers’ self-efficacy in technology use is the best predictor of teachers’ actual use of technology.
Citation
Watts, R. (2009). Predicting Technology Use in K-12 Classrooms. In I. Gibson, R. Weber, K. McFerrin, R. Carlsen & D. Willis (Eds.), Proceedings of SITE 2009--Society for Information Technology & Teacher Education International Conference (pp. 4204-4211). Charleston, SC, USA: Association for the Advancement of Computing in Education (AACE). Retrieved August 6, 2024 from https://www.learntechlib.org/primary/p/31318/.
Keywords
References
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