Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ European Journal of ...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
European Journal of Technology
Article . 2017 . Peer-reviewed
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
European Journal of Technology
Article
License: CC BY
Data sources: UnpayWall
versions View all 1 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

FACTORS INFLUENCING THE USE OF E-LEARNING IN PUBLIC UNIVERSITIES IN KENYA

Authors: George Njuguna; Snm Nzuve;

FACTORS INFLUENCING THE USE OF E-LEARNING IN PUBLIC UNIVERSITIES IN KENYA

Abstract

Purpose: The purpose of the study was to determine the factors influencing the use of e-learning in Public Universities in Kenya.Methodology: A descriptive survey design was used in finding out the factors influencing the use of e-learning in Public universities in Kenya. The Population of this study will be the 19,205 employees (Academic and non-Academic staff) in all public universities. The sample size was 96 employees. A questionnaire was the preferred data collection instrument for this study. Descriptive and inferential statistics were used.Results: Results revealed perceived usefulness was important in explaining the use of e-learning. This is supported by a p value 0.000 which means that perceived usefulness is a statistically significant predictor of the use of e-learning. Results further revealed that such perceived ease of use is important in determining use of e-learning as demonstrated by a p value of 0.000. Analysis showed that supporting infrastructure is a key determinant in use of e-learning in Kenyan universities and this was supported by a correlation coefficient of 0.398Unique contribution to theory, practice and policy: The universities should ensure that e-learning saves time compared to face to face learning. They should also be in such a position that ensures that e-Learning saves money compared to face to face learning for the students.

Related Organizations
Powered by OpenAIRE graph
Found an issue? Give us feedback