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Journal of Applied Sciences
  Year: 2010 | Volume: 10 | Issue: 20 | Page No.: 2395-2402
DOI: 10.3923/jas.2010.2395.2402
 
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Prediction of User Acceptance and Adoption of Smart Phone for Learning with Technology Acceptance Model

Yong-Wee Sek, Siong-Hoe Lau, Kung-Keat Teoh, Check-Yee Law and Shahril Bin Parumo

Abstract:
This purpose of this study is to examine how the Technology Acceptance Model (TAM) can be used as a practical tool for early user acceptance and adoption of testing mobile communication devices for learning by evaluating the relationships among perceived usefulness, perceived ease of use, attitude towards using, behavioural intentions to use and actual use. In the study, 60 potential users were presented with an introductory demonstration of smart phone for a digital systems course. Following the demonstration, data on user perceptions and attitudes about smart phones were gathered based on this initial exposure. Subjects with prior experience using the smart phones were eliminated from further analysis resulting in a final sample of 40 users. The results indicate that actual use of smart phones for learning is significantly influenced by students intention to use and behavioural intention to use smart phones for learning is largely influenced by users perceived usefulness and attitude towards the smart phone. Students attitude towards the use of the smart phones are influence by the perceived usefulness and perceived ease of use of the smart phones. Implications of these findings for practice and research are examined.
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How to cite this article:

Yong-Wee Sek, Siong-Hoe Lau, Kung-Keat Teoh, Check-Yee Law and Shahril Bin Parumo, 2010. Prediction of User Acceptance and Adoption of Smart Phone for Learning with Technology Acceptance Model. Journal of Applied Sciences, 10: 2395-2402.

DOI: 10.3923/jas.2010.2395.2402

URL: https://scialert.net/abstract/?doi=jas.2010.2395.2402

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