Predicting Actual Use of Mobile Technology in Learning: Towards E-Learning Culture Framework

 
 
 
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  • Abstract


    With the advent of communication technology evolution, learning becomes flexible and accessible at any time and anywhere. Educational technology researchers have extensively integrated the Theory of Acceptance Model (TAM) and Theory of Planned Behavior  to link the beliefs and actions in mobile learning. This study attempted to predict a hypothesized model of mobile learning culture via smart phone. In this present study, the m-learning culture is conceptualized from the factors of attitude, ethical use, technology competent; technology reliance and social well being. Social well being from the perspectives of The Adaptive Structuration has been integrated to underpin the study. 185 samples were drawn from the population of Korea University. Using self constructed questionnaire for the survey, the analyses involved descriptive and simultaneous Multiple Regression Analysis (MRA). The study was supported by qualitative design via interviews. The findings indicate all predictors are significant except for technology reliance and ethical use. Social well being is the highest predictor for the m-learning via smartphone. This study has been explored from both quantitative and qualitative research which provide important empirical information to support m-learning culture and its predictors. The findings have contributed to a model of m-learning which extends the literature and existing models of TAM and Theory of Planned Behavior.

     

     


  • Keywords


    m-learning; smartphone; higher learning

  • References


    1. [1] McDonald M. Home Internet May Get Even Faster in South Korea: New York Times; 2011. Available from: file:///C:/Users/User/Desktop/South%20Korea%20Seeks%20Internet%20Speed%20of%201%20Gigabit%20a%20Second%20-%20The%20New%20York%20Times.html.

      [2] Osman1 MA, Talib1 AZ, Sanusi2 ZA, Shiang-Yen1 T, Alwi AS. A Study of the Trend of Smartphone and

      its Usage Behavior in Malaysia International Journal on New Computer Architectures and Their Applications (IJNCAA). 2012;2(1):275-86

      [3] Mutchler S, Ormond. Exploratory Study on Users' Behavior: Smartphone Usage. AICMS Procedding2011.

      [4] Davis FD, & Bargozzi, P. & Warshaw,P.R. User Acceptance of Computer Technology: A Comparison of two Theoritical Models Management Science. 1989;35(8):982.

      [5] Cheung ACK, Slavin RE. The effectiveness of educational technology applications for enhancing mathematics achievement in K-12 classrooms: A meta-analysis. Educational Research Review. 2013;9:88-113.

      [6] Ajzen. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research 1975. Available from: http://people.umass.edu/aizen/f&a1975.html.

      [7] Davis FD. Percieved Usefulness, Percieved Ease of Use, User acceptance of Information Technology. MIS Quarterly. 1989;13(3):319-39.

      [8] Venkatesh V, Davis FD. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science. 2000;46(2):186-204.

      [9] Pratkanis AR, Breckler, S.J. & Greenwald, A.G. Attitude Structure and Function: Lawrence Eribaum Associates Publishers; 1989.

      [10] Berger CR. Strategic and Nonstrategic Information Acquisition. Human Communication Research. 2002;28(2):287-97.

      [11] Siemens G. Connectivism: Learning Theory of the Digital Age 2005. Available from: file:///C:/Users/User/Desktop/KU%20research/Siemens_2005_Connectivism_A_learning_theory_for_the_digital_age.pdf.

      [12] Luppicini R. Technoethics and the Evolving Knowledge Society: Ethical Issues in Technological Design, Research, Development, and Innovation: Information Science Reference - Imprint of: IGI Publishing; 2010. 305 p.

      [13] DeSanctis G, Poole MS. Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory. Organization Science. 1994;5(2):121-47.

      [14] Tsang KK. The use of midpoint on Likert Scale: The implications for educational research. Hong Kong Teachers’ Centre Journal. 2012;11(1):121-30.

      [15] Hoffenbartal D, Bracha E. How do Pre-Service Teachers Feel? SOCITS: Questionnaire Development Description. 2016. p. 192-201.

      [16] Loch KD, Conger S. Evaluating ethical decision making and computer use. Commun ACM. 1996;39(7):74-83.


 

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Article ID: 13985
 
DOI: 10.14419/ijet.v7i2.29.13985




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