2018
DOI: 10.1016/j.ecns.2018.04.004
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Modeling Students' Perceptions of Simulation-Based Learning Using the Technology Acceptance Model

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Cited by 64 publications
(50 citation statements)
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References 25 publications
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“…The main objective of this study was to determine the important factors that can possibly influence the behavioral intention of the users of IWS components in Mulanay. In previous studies [16,35], behavioral intention was considered as an indicator of social acceptance of a new developing technology. The C-TAM-TPB models the perceptions of potential users of an IWS in Mulanay.…”
Section: Discussion and Research Implicationsmentioning
confidence: 99%
“…The main objective of this study was to determine the important factors that can possibly influence the behavioral intention of the users of IWS components in Mulanay. In previous studies [16,35], behavioral intention was considered as an indicator of social acceptance of a new developing technology. The C-TAM-TPB models the perceptions of potential users of an IWS in Mulanay.…”
Section: Discussion and Research Implicationsmentioning
confidence: 99%
“…In the context of education, TAM has been applied to a huge range of purposes. For instance, [38] sought to measure clinical students' perceptions of simulation-based learning using TAM. Also, [39] developed a research model based on the TAM to evaluate the acceptance of mobile technologies among teachers.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…Additionally, in the energy sector, [51] reported that electricity sensors offer support in saving energy for residential sectors. Note that the use of sensors and microcontrollers in the area of energy monitoring showed varied results.…”
Section: Powerpediamentioning
confidence: 99%
“…With the addition of another equipment, the cost of developing the design was relatively higher than that of [52]; nevertheless, the scalability of the sensor node connections and memory of the design developed was favorable. A comprehensive study conducted by [51] examined different commercially available smart meters type (i.e., whole-house meter, plug load meters, package solutions). In this work, it was revealed that whole-house meter only reports coarse real-power readings that cannot differentiate appliances with similar wattage.…”
Section: Powerpediamentioning
confidence: 99%