Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education
By M. Chow, David Kurt Herold, Tat-Ming Choo, Kitty Chan. Comput. Educ., 2012
309 citations recorded by the source corpus.
Subfields: Artificial Intelligence, General Dentistry, Physiology
View Paper: https://www.semanticscholar.org/paper/4a064d0868309e5a5a9dc06e445208e7e43e3002
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In Artificial Intelligence
In General Dentistry
In Physiology
Citations in the corpus
- Investigating users' perspectives on e-learning: An integration of TAM and IS success model (2015, background): “, Alkhalaf, Drew, AlGhamdi, & Alfarraj, 2012; Chow et al., 2012; Hassanzadeh et al., 2012). Petter et al. (2008) note that to refrain more complexity, IS success model did not distinct between intention to use and system use in their updated model, but intention to use is generally an individual lev”
- Investigating the influence of the most commonly used external variables of TAM on students' Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios (2016, background): “, 2013; Ma, Chao & Cheng, 2013; Mohamed & Abdul Karim, 2012; Purnomo & Lee, 2013) have indicated lack of significant association between the two constructs (SE and PU), some studies (including Al-Ammari & Hamad, 2008; Al-Ammary et al., 2014; Al-Mushasha, 2013; Chow et al., 2012; Hussein et al., 2007”
- Technology acceptance model: a literature review from 1986 to 2013 (2014, background): “External variables: various external variables or moderating factors to the two major belief constructs (perceived usefulness and perceived ease of use) have been introduced as well, such as personality traits [32] and demographic characteristics [83, 86] or computer self-efficacy construct [18].”
- User Acceptance of Virtual Reality: An Extended Technology Acceptance Model (2020, methodology): “For instance, in the study by Chow et al. (2012), participants used a virtual environment to perform a rapid sequence intubation.”
- Factors Influencing Preservice Teachers' Intention to Use Technology: TPACK, Teacher Self-efficacy, and Technology Acceptance Model (2018, background): “Based on TAM, researchers have explored the influence of perceived ease of use on perceived usefulness (Chow, Herold, Choo, & Chan, 2012; Joo, Lee, & Ham, 2014; Lee & Lehto, 2013).”