Journal of Research on Technology in Education · 2011 · 570 citations · 33 references
EducationEducational TechnologyTeachingHuman-computer InteractionInstructional DesignUser Experience DesignSelf-efficacyTechnology AdoptionTechnology IntegrationUsability EvaluationSelf-efficacy TheoryTeacher Technology IntegrationTechnology AcceptanceTechnology Adoption In SchoolsTechnology Adoption ModelsUsage BehaviorUser Acceptance
The Technology Acceptance Model explains how users adopt technology and is applicable to teachers’ use of educational technologies. This study extends the TAM by adding teachers’ perceived usability and self‑efficacy toward the technologies they use. A survey of 99 K‑12 teachers in two rural Virginia districts was analyzed using reliability statistics and general linear modeling. Adding perceived usability to the TAM explained more variance and had greater influence than its absence, and teachers’ technology self‑efficacy had a stronger effect than computer self‑efficacy, though effects may differ across populations and technologies.
The Technology Acceptance Model (TAM) represents how users come to accept and use a given technology and can be applied to teachers' use of educational technologies. Here the model is extended to incorporate teachers' perceived usability and self-efficacy measures toward the technologies they are currently using. The authors administered a survey to K–12 teachers in two rural school districts in Virginia, and 99 teachers responded. We then analyzed the responses with both reliability statistics and general linear modeling techniques. The results indicated that the incorporation of perceived usability into the TAM explained more variance and was more influential to TAM elements than its absence, thereby supporting the importance, positive influence, and necessity of evaluating usability when investigating educational technology acceptance and usage behavior. Furthermore, the study found teachers' technology self-efficacy (TSE) was more beneficial to the TAM than their computer self-efficacy (CSE); however, this impact might vary for the evaluations of different populations and technologies.
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