Examining user acceptance of computer technology: an empirical study of student teachers
By Will Wai-Kit Ma, R. Andersson, Karl-Oskar Streith. Journal of Computer Assisted Learning, 2005
364 citations recorded by the source corpus.
Subfields: Communication, Gender Studies, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/a40180cc7c8b40e5fe28e991b6d37e205ba7dd7e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Timothy Teo
- Chwee Beng Lee
- Ching Sing Chai
- Fethi A. Inan
- Deborah L. Lowther
- Roy Rada
- Chun-Chieh Wang
- Wei-Tsong Wang
In Gender Studies
- Timothy Teo
- Ching Sing Chai
- Chwee Beng Lee
- Fethi A. Inan
- Deborah L. Lowther
- Athanassios Jimoyiannis
- Allan Hoi Kau Yuen
- Vassilis Komis
In Information Systems and Management
- Timothy Teo
- Chwee Beng Lee
- Ching Sing Chai
- Fethi A. Inan
- Deborah L. Lowther
- Roy Rada
- Allan Hoi Kau Yuen
- Chun-Chieh Wang
Citations in the corpus
- Examining teachers’ beliefs about ICT in education: implications of a teacher preparation programme (2007, background): “Recent studies (Hu et al., 2003; Ma et al., 2005) have found that teachers’ perceptions of ICT usefulness are significant in determining intentions to use ICT in their instruction.”
- Exploring teacher acceptance of e‐learning technology (2008, background): “After reviewing relevant literature, it is found that ‘‘computer self-efficacy’’ of users and ‘‘subjective norm’’ of the users’ workplace are appropriate constructs to be considered in formulating the composite framework (e.g. Compeau & Higgins, 1995, 1999; Hall & Higgins, 2005; Ma et al., 2005; Tay”
- An empirical study of instructor adoption of web-based learning systems (2009, background): “If web-based learning systems are easy to use (e.g., Franklin, 2007; Ma et al., 2005; Rogers & Finlayson, 2004), key stakeholders (e.g., students, fellow instructors, and school authorities) support the instructor use of web-based learning systems (Andersson, 2006; Hayes, 2007; Russell et al.,…”
- Understanding Technology Adoption: Theory and Future Directions for Informal Learning (2009, background): “They have also been applied to many educational settings including understanding adoption by student teachers (Ma, Andersson, & Streith, 2005), implementation of laptop-based testing (Baker-Eveleth, Eveleth, O’Neill, & Stone, 2007), and adoption of online learning (Ndubisi, 2006).”
- Understanding pre-service teachers' computer attitudes: applying and extending the technology acceptance model (2007, methodology): “Ma et al. (2005) used the TAM on 84 students and found that one reason for the difference between the general IT users and teachers was that teachers were relatively independent and have considerable autonomy over their teaching activities, including technology choices and use.”
- Factors affecting technology integration in K-12 classrooms: a path model (2010, methodology): “Another strength was that the model originated from the Technology Acceptance Model (Davis 1989), a widely accepted conceptual framework that explains how users perceive and use a new technology (Ma et al. 2005).”
- Understanding the Influence of Perceived Usability and Technology Self-Efficacy on Teachers’ Technology Acceptance (2011, background): “Furthermore, teachers’ attitudes on the usefulness of such technologies are significant in determining their intentions to use them (Hu, Clark, & Ma, 2003; Ma, Andersson, & Streith, 2005).”