A Bayesian analysis of the institutional and individual factors influencing faculty technology use
Internet and Higher Education Volume 10, Number 3, ISSN 1096-7516 Publisher: Elsevier Ltd
This study answered questions about which faculty come to use technology in their teaching and used a novel statistical analysis to develop a model that captures the primary factors influencing faculty technology use. It used a sample of 16,914 faculty within the 2004 National Study of Postsecondary Faculty to explore explanations for faculty technology use. A total of 41 variables were included to capture individual-level influences (both demographic and professional) and institution-level influences (e.g., level of resources, Carnegie classification, public or private control) on technology use. All of the variables were incorporated into a Bayesian network analysis that produced a model of seven variables that classified 69% of the sample accurately. Four of the seven variables point to the important influence of the faculty's instructional workload on whether and how much faculty use technology. Carnegie classification was the only institution-level variable to make it into the final model. The faculty's highest degree and teaching/research field also had direct and moderating influences on technology use. This model offers insights into who is using technology, why they do so, and how more faculty may be encouraged to acquire greater skills in using technology.
Meyer, K.A. & Xu, Y.J. (2007). A Bayesian analysis of the institutional and individual factors influencing faculty technology use. Internet and Higher Education, 10(3), 184-195. Elsevier Ltd.
- Bayesian network
- Bayesian Statistics
- College Faculty
- Computer Uses in Education
- EDUCATIONAL ENVIRONMENT
- educational technology
- Faculty technology use
- Faculty Workload
- Institutional Characteristics
- Predictor Variables
- Teacher Characteristics
- technology integration
- Use of technology in instruction
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Thuthukile Jita, University of the Free State, South Africa
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Technological Modeling: Faculty Use of Technologies in Preservice Teacher Education from 2004 to 2012
Joan E. Hughes, Sa Liu & Mihyun Lim, University of Texas at Austin, United States
Contemporary Issues in Technology and Teacher Education Vol. 16, No. 2 (June 2016) pp. 184–207
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