Model of e-learning acceptance and use for teaching staff in Higher Education Institutions

Kocaleva, Mirjana and Stojanovic, Igor and Zdravev, Zoran (2015) Model of e-learning acceptance and use for teaching staff in Higher Education Institutions. International Journal of Modern Education and Computer Science (IJMECS), 7 (4). pp. 23-31. ISSN 2075-017X

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Official URL: http://www.mecs-press.org/ijmecs/ijmecs-v7-n4/v7n4...

Abstract

We live in a world where we are exposed to everyday changes that information and communication technologies (ICT) give us impose. These changes are largely related to education, and so the introduction of ICT in universities as institutions of higher education, clearly changing the way it is implemented. The policy of “Goce Delcev” University (UGD) is to fully implement ICT in all segments of management, administration and teaching. For this purpose, several projects for e-learning implementation at UGD have been conducted. But, as much as important introduction is, the more important is the acceptance of new technologies in education. Therefore, we shall use a modified Unified Theory of Acceptance and Use of Technology (UTAUT) as the research methodology. The purpose of this paper is understanding teaching staff acceptance and use e-Learning system (ELC) and investigating the influence of seven determinants (four UTAUT determinants, 2 additional determinants and one personal "selfconfidence" determinant). A survey was administered to 92 respondents (teaching staff) to capture their perceptions of elearning. The findings of this research show that among the seven UTAUT factors, the effort expectancy and facilitating conditions have the strongest effect of intention to use new technology. Also according to the survey, social influence and facilitating conditions are in strongest correlation with the behavioral intention and thereby the most influence on the behavior of participants for acceptance and use of the e – learning system.

Item Type: Article
Subjects: Natural sciences > Computer and information sciences
Divisions: Faculty of Computer Science
Depositing User: Mirjana Kocaleva
Date Deposited: 06 Apr 2015 08:07
Last Modified: 27 Jan 2016 12:40
URI: http://eprints.ugd.edu.mk/id/eprint/11980

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