Students' Acceptance of Mobile Learning: An Empirical Study Based on Blackboard Mobile Learn

Students' Acceptance of Mobile Learning: An Empirical Study Based on Blackboard Mobile Learn

Xiaoqing Li (University of Illinois at Springfield, USA)
DOI: 10.4018/978-1-7998-1757-4.ch022
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With the rapid development of telecommunications, mobile learning is appearing as a promising learning approach for students to learn anytime anywhere. However, many key issues regarding the design and implementation of mobile learning are still unclear. This research investigates key factors leading to the acceptance of mobile learning based on students' use of Blackboard Mobile Learn. The research findings will help instructors to design courses for mobile users and system developers to design better mobile learning systems.
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Technology Acceptance And Mobile Learning

Technology acceptance is a widely investigated topic in the application of information systems. When researchers develop a new information technology or system, a natural question to ask is whether people would like to use it. Specifically, we need to know what factors are the key determinants of users’ intention of acceptance. Although the basic factors in the technology acceptance model—that is, perceived usefulness and perceived ease of use—toward users’ acceptance (Davis, 1989) are similar no matter what type of information technology we are studying, different technologies do have some unique factors regarding users’ acceptance depending on their specific functions and application scenarios. Therefore, the original Davis (1989) technology acceptance model has been continuously revised to adapt to different scenarios. Based on eight previous acceptance research models, Venkatesh, Morris, Davis, and Davis (2003) developed the united theory of acceptance and use of technology (UTAUT) model, which includes performance expectancy, effort expectancy, social influence, facilitating conditions, and four other moderators. The UTAUT model can better explain users’ intention of information technology acceptance than the eight original acceptance models (Venkatesh et al., 2003).

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