On the Factors Affecting Computing Students’ Awareness of the Latest ICTs
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
On the Factors Affecting Computing Students’ Awareness of the Latest ICTs

Authors: O. D. Adegbehingbe, S. D. Eyono Obono

Abstract:

The education sector is constantly faced with rapid changes in technologies in terms of ensuring that the curriculum is up to date and in terms of making sure that students are aware of these technological changes. This challenge can be seen as the motivation for this study, which is to examine the factors affecting computing students’ awareness of the latest Information Technologies (ICTs). The aim of this study is divided into two sub-objectives which are: the selection of relevant theories and the design of a conceptual model to support it as well as the empirical testing of the designed model. The first objective is achieved by a review of existing literature on technology adoption theories and models. The second objective is achieved using a survey of computing students in the four universities of the KwaZulu-Natal province of South Africa. Data collected from this survey is analyzed using Statistical package for the Social Science (SPSS) using descriptive statistics, ANOVA and Pearson correlations. The main hypothesis of this study is that there is a relationship between the demographics and the prior conditions of the computing students and their awareness of general ICT trends and of Digital Switch Over (DSO) a new technology which involves the change from analog to digital television broadcasting in order to achieve improved spectrum efficiency. The prior conditions of the computing students that were considered in this study are students’ perceived exposure to career guidance and students’ perceived curriculum currency. The results of this study confirm that gender, ethnicity, and high school computing course affect students’ perceived curriculum currency while high school location affects students’ awareness of DSO. The results of this study also confirm that there is a relationship between students prior conditions and their awareness of general ICT trends and DSO in particular.

Keywords: Education, Information Technologies, IDT, awareness.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1110025

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2180

References:


[1] R. Latorre, Y. Hatamura, and H. Ohashi, "A New Mechanical Engineering Curriculum at the University of Tokyo," Journal of Engineering Education, 1994.
[2] N. S. Grigg, M. E. Criswell, D. G. Fontane, and T. J. Siller, "Information Technology in Civil Engineering Curriculum," Journal of Professional Issues in Engineering Education & Practice, vol. 131, pp. 26-31, 2005.
[3] J. Brewer, A. Hamper, and J. Mendonca, "Beyond the model: Building an effective and dynamic IT curriculum," Journal of Information Technology Education, vol. 5, pp. 441-458, 2006.
[4] F. D. Davis, "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS quarterly, pp. 319-340, 1989.
[5] K. Mathieson, "Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior," Information systems research, vol. 2, pp. 173-191, 1991.
[6] D. Gefen and D. W. Straub, "Gender differences in the perception and use of e-mail: An extension to the technology acceptance model," MIS quarterly, pp. 389-400, 1997
[7] T. Dinev and Q. Hu, "The centrality of awareness in the formation of user behavioral intention toward protective information technologies," Journal of the Association for Information Systems, vol. 8, p. 23, 2007.
[8] A. Bandura and N. E. Adams, "Analysis of self-efficacy theory of behavioral change," Cognitive therapy and research, vol. 1, pp. 287-310, 1977
[9] I. Sahin, "Detailed Review of Rogers' Diffusion of Innovations Theory and Educational Technology-Related Studies Based on Rogers' Theory," Online Submission, vol. 5, 2006.
[10] M. I. Isleem, "Relationships of selected factors and the level of computer use for instructional purposes by technology education teachers in Ohio public schools: a statewide survey," The Ohio State University, 2003.
[11] B. D. Medlin, "The factors that may influence a faculty members' decision to adopt electronic technologies in instruction," 2001.
[12] D. M. Jacobsen, Adoption patterns and characteristics of faculty who integrate computer technology for teaching and learning in higher education, 1998.
[13] H. Less, "Faculty Adoption of Computer Technology for Instruction in the North Carolina Community College System," 2003.
[14] Z. Zakaria, "Factors related to information technology implementation in the Malaysian Ministry of Education Polytechnics," 2001.
[15] S. E. Blankenship, "Factors related to computer use by teachers in classroom instruction," Virginia Polytechnic Institute and State University, 1998.
[16] C. W. Carter, "An assessment of the status of the diffusion and adoption of computer-based technology in Appalachian College Association colleges and universities," 1998.
[17] F. Nazari, "Attributes Of Diffusion Theory as Effective Predictors on University Faculty Members' Adoption of Online Database in Iran," 2014.
[18] S. Penjor and P.-O. Zander, "Predictors for the Adoption of Virtual Learning Environments-a Case Study from Bhutan," arXiv preprint arXiv:1503.02408, 2015.
[19] S. Sanni, A. Zainab, N. Abdulkareem, and N. Abdullah, "The Influence of Peer Network, Change Agents and Organization Characteristics in the Adoption of e-Journal Publishing," 2014.
[20] T. J. Ntemana and W. Olatokun, "Analyzing the Influence of Diffusion of Innovation Attributes on Lecturers’ Attitude Towards Information and Communication Technologies," 2012.
[21] S. Tunmibi, A. Aregbesola, and E. Asani, "Factors Influencing the Adoption of Smart Phones by University Students–A Cross-border Approach," 2015.
[22] Y. J. Joo, K. Y. Lim, and E. Lim, "Investigating the structural relationship among perceived innovation attributes, intention to use and actual use of mobile learning in an online university in South Korea," Australasian Journal of Educational Technology, vol. 30, 2014.
[23] Y. Duan, Q. He, W. Feng, D. Li, and Z. Fu, "A study on e-learning takeup intention from an innovation adoption perspective: A case in China," Computers & Education, vol. 55, pp. 237-246, 2010.
[24] P. Shea, A. Pickett, and C. S. Li, "Increasing access to higher education: A study of the diffusion of online teaching among 913 college faculty," The International Review of Research in Open and Distributed Learning, vol. 6, 2005.