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Teacher Dispositions as Predictors of Classroom Technology Use
Abstract
This study examined various teacher dispositions that predict technology use among K–12 teachers. The Teacher Attribute Survey was administered to 177 K–12 teachers from six Northwest Ohio schools. This instrument measured a variety of teacher attributes, such as teacher self-efficacy, philosophy, openness to change, amount of professional development, and amount of technology use in the classroom. A forward multiple regression was conducted to identify the best combination of variables that predicts classroom technology use among K–12 teachers. Results indicate that the factor combination of amount of technology training, time spent beyond contractual work week, and openness to change best predicted classroom technology use.
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Citations
Cites
Staff development and the process of teacher change
GUSKEY, T. R. (1986) · Educational Researcher · doi:10.3102/0013189x015005005 · Cited by 1,493
Cited by
(2012) · The International Journal of Education and Development using Information and Communication Technology (The University of the West Indies) · Cited by 781
Kopcha, T. J. (2012) · Computers & Education · doi:10.1016/j.compedu.2012.05.014 · Cited by 554
Abbitt, J. T. (2011) · Journal of Digital Learning in Teacher Education · doi:10.1080/21532974.2011.10784670 · Cited by 472
Teacher adoption of technology
Aldunate, R., & Nussbaum, M. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2012.10.017 · Cited by 273
Does technology integration “work” when key barriers are removed?
Lowther, D. L., Inan, F. A., Daniel Strahl, J., & Ross, S. M. (2008) · Educational Media International · doi:10.1080/09523980802284317 · Cited by 271
Metadata
- Authors
- Vannatta, R. A., & Nancy, F.
- Venue
- Journal of Research on Technology in Education
- Publisher
- Informa UK Limited
- Published
- 2004-03
- Volume
- 36
- Issue
- 3
- Pages
- 253-271
- ISSN
- 1539-1523 (ISSN-L)
- 1945-0818
- OpenAlex
- W1995352808
- Cited by
- 396
- References
- 1
- FWCI
- 48.07
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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