Computer Self-efficacy and Its Relationship with Web Portal Usage: Evidence from the University of the East

Rex P. Bringula, Julius Jan M. Sarmiento and Roselle S. Basa
Additional contact information
Rex P. Bringula: University of the East
Julius Jan M. Sarmiento: University of the East
Roselle S. Basa: University of the East

International Journal of Computing Sciences Research, 2017, vol. 1, issue 1, 24-29

Abstract: Purpose–The University of the East Web Portal is an academic, web-based system that provides educational electronic materials and e-learning services. To fully optimize its usage, it is imperative to determine the factors that relate to its usage. Thus, this study, to determine the computer self-efficacy of the faculty members of the University of the East and its relationship with their web portal usage, was conceived.Method–Using a validated questionnaire, the profile of the respondents, their computer self-efficacy, and web portal usage were gathered.Results–Data showed that the respondents were relatively young (M= 40 years old), majority had master’s degree (f = 85, 72%), most had been using the web portal for four semesters (f = 60, 51%), and the large part were intermediate web portal users (f = 69, 59%). They were highly skilled in using the computer (M= 4.29) and skilled in using the Internet (M= 4.28). E-learning services (M= 3.29) and online library resources (M= 3.12) were only used occasionally. Pearson correlation revealed that age was positively correlated with online library resources (r= 0.267, p

Keywords: computer skills; Internet skills; portal usage; self-efficacy; web portal (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
https://stepacademic.net/ijcsr/article/view/15/9 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jcs:journl:v:1:y:2017:i:1:p:24-29

DOI: 10.25147/ijcsr.2017.001.1.02

Access Statistics for this article

More articles in International Journal of Computing Sciences Research from Step Academic
Bibliographic data for series maintained by Liam Demafelix ().