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Computer self-efficacy, anxiety and attitudes towards use of technology among university academicians: a case study of University of Port Harcourt Nigeria

N. D., Oye and A. Iahad, Noorminshah and Ab. Rahim, Nor Zairah (2012) Computer self-efficacy, anxiety and attitudes towards use of technology among university academicians: a case study of University of Port Harcourt Nigeria. International Journal of Computer Science and Technology, 3 (1). pp. 213-219. ISSN 0976-8491 (Online); 2229-4333 (Print)

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Official URL: http://www.ijcst.com/vol31/2/oye.pdf

Abstract

The 21st century also called ICT literacy includes not only the traditional concept of literacy, but it also encompasses the ability to incorporate new technologies into teaching and learning. The paper focus on computer, self-efficacy, anxiety and attitudes towards use of technology, as it influence the behavioral intention of the university academicians to accept and use ICT for teaching and learning. The University of Port Harcourt Nigeria was use as a case study, and 100 questionnaires were administered and collected. The technology usage by the academic staff shows that 74% are willing to use ICT once or more a day. 51% of the respondents said that the use of ICT is voluntary. Three null hypotheses were stated. The findings shows that the Uniport academic staff had medium computer anxiousness, they have moderate computer self efficacy and high attitudes towards use of technology. Therefore, as attitudes towards use of technology increase, computer self efficacy also increase and this cause a gradual decrease in computer anxiety. The most influential construct is attitudes towards use of technology. This was determined by the regression analysis and the hypotheses. The knowledge gained from this study is beneficial to university administrators, academic staff and the Nigerian ICT policy makers.

Item Type:Article
Uncontrolled Keywords:Computer Self-Efficacy, Computer Anxiety, Attitudes, ICT
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:31632
Deposited By: Fazli Masari
Deposited On:22 May 2013 07:36
Last Modified:29 Jan 2019 06:01

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