The acceptance and use of a virtual learning environment in China

By Erik M. van Raaij, Jeroen J. L. Schepers. Comput. Educ., 2008

1,020 citations recorded by the source corpus.

Subfields: Communication, Education, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/71554fdf34f7f78e414a7a77195d5aa151d647a7

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Citations in the corpus

Students' perceptions of Facebook for academic purposes (2014, background): “Prior studies (Mazman & Usluel, 2010, King & He, 2006; Ngai, Poon, & Chan, 2007; van Raaij & Schepers, 2008) concluded that Perceived Usefulness was the most important factor in predicting the adoption of virtual learning environments.”
The acceptance and use of computer based assessment (2011, background): “Many researchers provide evidences of the effect of Perceived Usefulness on the Behavioural Intention to use a learning system (e.g. Lee, 2008; Ong & Lai, 2006; Van Raaij & Schepers, 2008).”
The unified theory of acceptance and use of technology (UTAUT): a literature review (2015, background): “…System (8) Chiu and Wang (2008), Jong and Wang (2009), Keller et al. (2007), Nistor et al. (2010), Sumak et al. (2010), Tsai et al. (2009), van Raaij and Schepers (2008), Wang et al. (2009) Software Technologies (1) Koh et al. (2010) Podcasting (1) Lee and Lin (2008) Activity Based Costing…”
Who influences whom? Analyzing workplace referents' social influence on IT adoption and non-adoption (2009, background): “Only a small number of researchers analyzed social influence on perceived usefulness (Venkatesh and Davis, 2000), perceived ease of use (Lu et al ., 2005) or specific behavior (e.g. Igbaria et al ., 1996; Van Raaij and Schepers, 2006).”
Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors (2016, background): “… Subjective Norm Quality of Work Life Tobing, Hamzah, Sura and Amin (2008) E-learning system 314 Students System Adaptability Tseng and Hsia (2008) E-learning system 204Employe es Internal locus of control Computer SelfEfficacy van Raaij and Schepers (2008) E-learning system (virtual…”
Antecedents and consequences of e‐learning acceptance (2011, methodology): “…use the e-learning system, they will further incorporate the referents’ beliefs into their own beliefs; that is, they are inﬂuenced by the referents, and thus they believe the system must be useful in its purpose (Lee, 2006; Van Raaij & Schepers, 2008) and further intend to use it (Lee, 2006).”
A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types (2011, background): “…121 Students E-learning System TAM Lee (2008) 1107 Students E-learning System TAM Chiu and Wang (2008) 286 Students E-learning System UTAUT van Raaij and Schepers (2008) 40 Employees E-learning System TAM Padilla-Melendez, Garrido-Moreno, and Del Aguila-Obra (2008) 225 Students E-learning…”
An empirical study of instructor adoption of web-based learning systems (2009, background): “However, this direct effect becomes less salient and is eventually replaced by an indirect effect via perceived usefulness as the users gain experience of a new system, which makes the users’ instrumental concerns (proxy of perceived usefulness) surpass the concerns about the ease of use of the syst”
Impact of media richness and flow on e-learning technology acceptance (2009, background): “In two studies, (Lee, Cheung, & Chen, 2005; van Raaij & Schepers, 2008 ), PEU was not a good predictor of the intention to use a learning-management system (LMS).”