The International Journal of Interdisciplinary Educational Studies

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

The Effect of Performance Expectancy on Learners' Intention: Adoption and use of Cloud Computing in High Schools


Affiliations
1 University of Fort Hare, South Africa
2 University of Zululand, South Africa
     

   Subscribe/Renew Journal


This research questions how much the determinants explain the usage of Cloud computing. Responses from a sample taken from public school learners, 48 males and 68 females, were assessed using a 4-point Likert scale instrument based on four main variables of behavioural intention. The gathered data were analysed using the multiple regression analysis, and the standardised beta coefficients acquired for the following three variables did not show any significant influence towards behavioural intention. From the Durbin Watson test the R2 value of 0.066 was obtained for social influence, which means that social influence accounted for only 7% of the variance in behavioural intention scores. Learner demographics accounted for 17% of the variance, and experience accounted for 35% of the variance. These results show that secondary school learners are keen on trying out Internet devices for learning regardless of their social factors, demographics, and experience in using Internet technology. There was a relative influence noted in terms of experience (resulting from persistent use) as a moderating factor towards the adoption of Internet devices. This acceptance of new technologies is driven by the benefits offered by mobile Internet devices and the ease associated with using Internet technologies.

Keywords

Educational Technology, Cloud Computing, Learning Medium.
Subscription Login to verify subscription
User
Notifications
Font Size

  • Bell, J. 2005. Doing Your Research Project. 4th edition. Buckingham: Open University Press.

  • Chuttur, M. Y. 2009. Overview of the Technology Acceptance Model: Origins, Developments and Future Directions. Indiana University, USA, Sprouts: Working Papers on Information Systems.

  • Behrend, T. S., Wiebe, E. N., London, J. E., & Johnson, E. C. 2011. Cloud computing adoption and usage in community colleges, Behaviour & Information Technology 30(2): 231-240.

  • Brown, S. A., & Venkatesh, V. 2005. "Model of Adoption of Technology in the Household: A Baseline Model Test and Extension Incorporating Household Life Cycle." MIS Quarterly 29(4): 399-426.

  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. 1989. User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8): 982-1003.

  • Fishbein, M & Ajzen, I. 1975. Belief, attitude, intention, and behavior : an introduction to theory and research, Addison-Wesley series in social psychology., Addison-Wesley Pub. Co., Reading, Mass.

  • Jlelaty, M., & Monzer, Y. 2012. Factors in Cloud computing adoption. Lund University.

  • Johnson, L., Levine, A., Smith, R., & Stone, S., 2010. The 2010 Horizon Report, Austin, TX, The New Media Consortium. Available from: http://www.nmc.org/pdf/2010-Horizon- Report.pdf. Accessed: 10 January 2011.

  • Kirbey, D., Findley, D. & Claussen, D., 2006, Teaching, Learning, Technology - What will it look like at PCC in 2020? - A faculty white paper. Available from: http://www.pcc.edu/resources/academic/documents/whitepaper2020--6-27-2006.pdf. Accessed: 14 March 2012.

  • Korpelainen, E., Vartiainen, M. & Kira, M., 2010, Self-Determined Adoption of an ICT System in a Work Organization. Journal of Organizational and End User Computing 22: 51-69.

  • Kripanont, N. 2006. Using technology acceptance model to investigate academic acceptance of the Internet. Journal of business systems, governance, and ethics 1(2): 13-28.

  • Kunze, M., Wang, L., Laszewski, G., Younge, A., He, X., Tao, J., & Fu, C. 2008. Cloud computing: a Perspective study. New Generation Computing 28(2), 137-146.

  • Limayem, M., Hirt, S. G., & Cheung, C. M. K. 2007. "How Habit Limits the Predictive Power of Intentions: The Case of IS Continuance." MIS Quarterly 31(4): 705-737.

  • Mugenda, A. G., & Mugenda, O. M. 2003. Research Methods; Quantitative and Qualitative Approaches. Nairobi: ACTS press.

  • Powell, W., & Kusuma-Powell, O. 2007. Making the Difference: Differentiation in International Schools, in is INTERNATIONAL SCHOOL - The official magazine for European Council of International Schools (ECIS) members, 11 (1), 57-59.

  • Saunders, M., Lewis, P., & Thornhill, A. 2007. Research Methods for Business Students. 4th edition. England: Prentice Hall.

  • Schaper, L. K., & Pervan, G. P. 2007. An investigation of factors affecting technology acceptance and use decisions by Australian allied health therapists. Available from:http://csdl2.computer.org/comp/proceedings/hiccs/2007/2755/00/27550141c.pdf. Accessed: 2 April, 2007.

  • Suhendra, E. S, Hermana, B. & Sugiharto, T. 2009. Behavioural analysis of information technology acceptance in Indonesia small enterprises. [Online]: Available url: http://econ.anadolu.edu.tr/fullpapers/suhendra_Hermana_Sugiharta_econadolu2009.pdf. Accessed: 18 June, 2012.

  • Van der Heijden, H. 2004. "User Acceptance of Hedonic Information Systems," MIS Quarterly 28(4): 695-704.

  • Vecchiola, C., Pandey, S., & Buyya, R. 2009. High-Performance Cloud Computing: A View of Scientific Applications. Pervasive Systems, Algorithms, and Networks (ISPAN), 10th International Symposium, pp. 4-16.

  • Velte, T., Velte, J., & Elsenpeter, R. 2009. Cloud Computing: A Practical Approach. McGraw- Hill Osborne Media.

  • Venkatesh, V., & Davis, F. D. 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies." Management Science 45(2): 186-204.

  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. 2003. "User acceptance of information technology: Toward a unified view." MIS Quarterly 27(3): 425-478.

  • Venkatesh, V., & Morris, M. G. 2000. "Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behaviour." MIS Quarterly 24(1): 115-139.

  • White, C. J. (Ed.). 2003. Research methods and techniques. Pretoria: C. J. White Zhou, T., Lu, Y., & Wang, B. 2010. Integrating TTF and UTAUT to explain mobile banking adoption. Computers in human behaviour 26(4): 760-767.


Abstract Views: 283

PDF Views: 0




  • The Effect of Performance Expectancy on Learners' Intention: Adoption and use of Cloud Computing in High Schools

Abstract Views: 283  |  PDF Views: 0

Authors

Nceba Nyembezi
University of Fort Hare, South Africa
Anass Bayaga
University of Zululand, South Africa

Abstract


This research questions how much the determinants explain the usage of Cloud computing. Responses from a sample taken from public school learners, 48 males and 68 females, were assessed using a 4-point Likert scale instrument based on four main variables of behavioural intention. The gathered data were analysed using the multiple regression analysis, and the standardised beta coefficients acquired for the following three variables did not show any significant influence towards behavioural intention. From the Durbin Watson test the R2 value of 0.066 was obtained for social influence, which means that social influence accounted for only 7% of the variance in behavioural intention scores. Learner demographics accounted for 17% of the variance, and experience accounted for 35% of the variance. These results show that secondary school learners are keen on trying out Internet devices for learning regardless of their social factors, demographics, and experience in using Internet technology. There was a relative influence noted in terms of experience (resulting from persistent use) as a moderating factor towards the adoption of Internet devices. This acceptance of new technologies is driven by the benefits offered by mobile Internet devices and the ease associated with using Internet technologies.

Keywords


Educational Technology, Cloud Computing, Learning Medium.

References