The adoption of a technological innovation in Higher Education: A case study involving a mobile device
Ivana Maria Schnitman, Fabrício Forgerini, Federal University of Southern Bahia, Brazil
International Journal on E-Learning Volume 17, Number 3, ISSN 1537-2456 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
This article examines the adoption of technological innovations in education, such as the use of mobile devices, as teaching agent to pedagogical mediation. The research discusses factors that could contribute to motivation or serve as barriers to the use of tablets as teaching agents to mediate learning. Findings suggest satisfaction and individual benefits play an important role in the adoption of tablets as an educational resource in higher education.
Schnitman, I.M. & Forgerini, F. (2018). The adoption of a technological innovation in Higher Education: A case study involving a mobile device. International Journal on E-Learning, 17(3), 401-418. Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE). Retrieved November 21, 2018 from https://www.learntechlib.org/primary/p/174159/.
© 2018 Association for the Advancement of Computing in Education (AACE)
- Demirci, A. & Ersoy, F. (2016). Technology readiness for innovative high-tech products: how consumers perceive and adopt new technologies. Retrieved from http://www.academia.edu
- Fichman, R. G. & Kemerer, C. F. (1999). The Illusory Diffusion of Innovation: An Examination of Assimilation Gaps. Information Systems Research, 10(3), 255-275. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/downlo Ad;jsessionid=09F5888BE70AFD30EC27B78047A2DD01?doi=10.1.1.25.5 449&rep=rep1&type=pdf
- Godoe, P. & Johansen, T. S. (2012). Understanding adoption of new technologies: Technology readiness and technology acceptance as an integrated concept. Journal of European Psychology Students, 3, 38-52. Retrieved from
- Hoffmann, D. F. (2013). The Evaluation of Technology Readiness among tablets’ users and non-users in the academic audience of Serra Gaúcha College. Revista Global Manager Acadêmica, 2(1). Retrieved from http://ojs.fsg.br/index.php/globalacademica/article/view/302
- IDC. Releases. (2017). Retrieved from http://br.idclatin.com/releases
- Mclean, N. (2003). The M-Learning Paradigm: an Overview. A Report for the Royal Academy of Engineering and the Vodafone Group Foundation. Macquarie University, Sydney, November.
- Nunnally, J. C. (1978). Psychometric Theory. 2nd ed. New York: McGraw-Hill.
- Kendall, M. G. & Gibbons, J. D. (1990). Rank Correlation Methods, 5th Edition, Edward Arnold, London & Oxford.
- King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740–755.
- Kornbrot, D. (2014). Spearman’s Rho. Wiley StatsRef: Statistics Reference Online.
- Parasuraman, A. (2000). Technology-Readiness Index (TRI): A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research, 2(4): 307-320. Retrieved from http://jsr.sagepub.com/content/2/4/307.abstract
- Parasuraman, A., & Colby, C. L. (2001). Techno-ready marketing: How and why customers adopt technology. New York: The Free Press, 224.
- Pedhazur, E. & Schmelkin, L. (1991). Measurement, design and analysis. Hillsdate: LEA Publisher.
- Pires, P. J. & Costa Filho, B. A. (2008). Factors from the Technology Readiness Index (TRI) as differentiators’ elements between internet banking users and non-users and as antecedents of the Technology Acceptance Model (TAM). Revista de Administração Contemporânea - RAC, 12(2), 429-456.
- Porter, C. E. & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59, 999-1007. Retrieved from ftp://nas.takming.edu.tw/michaelwang/WWWRoot/ericwu/Using%20the%20TAM%20to%20explain%20how%20attitudes%20determine%20Internet%20usage.pdf
- Quinn, C. (2000). M-Learning. Mobile, Wireless, In-Your-Pocket Learning. Linezine, Fall. Retrieved from http://www.linezine.com/2.1/features/cqmmwiyp.htm
- Rogers, E. M. (2003). Diffusion of Innovations. 5th. Ed. New York: Free Press. Sampieri, H. R.; Collado, F. & Lucio, P. B. (1997). Research Methodology. México: McGraw-Hill.
- Sharples, M., Taylor, J., & Vavoula, G. (2007). A Theory of Learning for the Mobile Age. In R. Andrews and C. Haythornthwaite (eds.) The Sage Handbook of Elearning Research. London: Sage, pp. 221-47.
These references have been extracted automatically and may have some errors. If you see a mistake in the references above, please contact email@example.com.