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Chow, Meyrick; Herold, David Kurt; Choo, Tat-Ming; Chan, Kitty – Computers & Education, 2012
Learners need to have good reasons to engage and accept e-learning. They need to understand that unless they do, the outcomes will be less favourable. The technology acceptance model (TAM) is the most widely recognized model addressing why users accept or reject technology. This study describes the development and evaluation of a virtual…
Descriptors: Self Efficacy, Nursing Students, Intention, Electronic Learning
Thompson, Kate; Reimann, Peter – Computers & Education, 2010
A classification system that was developed for the use of agent-based models was applied to strategies used by school-aged students to interrogate an agent-based model and a system dynamics model. These were compared, and relationships between learning outcomes and the strategies used were also analysed. It was found that the classification system…
Descriptors: Prior Learning, Classification, Comparative Analysis, Models
Veletsianos, George – Computers & Education, 2010
Humans draw on their stereotypic beliefs to make assumptions about others. Even though prior research has shown that individuals respond socially to media, there is little evidence with regards to learners stereotyping and categorizing pedagogical agents. This study investigated whether learners stereotype a pedagogical agent as being…
Descriptors: Computer Assisted Instruction, Artists, Scientists, Context Effect

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