Zoran Zdravev

Work place: Faculty of Computer Science – University “Goce Delcev”, Stip, 2000, R.Macedonia

E-mail: zoran.zdravev@ugd.edu.mk


Research Interests: Computer systems and computational processes, Natural Language Processing, Information Systems, Data Structures and Algorithms


Zoran Zdravev received the PhD degree in Computer Science from the Faculty of Natural Sciences and Mathematics Skopje, Ss. Cyril and Methodius University in Skopje in 2011. Since 2009 he serve as head of E-Learning Center at “Goce Delcev” University Stip, he is assistant professor at Faculty of Computer Science at University “Goce Delcev” - Stip, and head of Information Technologies Department. His research interest is in Information Systems, E-Learning Systems, Digital Repositories and Natural Language Processing.

Author Articles
Model of e-Learning Acceptance and Use for Teaching Staff in Higher Education Institutions

By Mirjana Kocaleva Igor Stojanovic Zoran Zdravev

DOI: https://doi.org/10.5815/ijmecs.2015.04.03, Pub. Date: 8 Apr. 2015

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 "self-confidence" determinant). A survey was administered to 92 respondents (teaching staff) to capture their perceptions of e-learning. 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.

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