ACCEPTANCE OF WEB 2.0 IN LEARNING IN HIGHER EDUCATION: A CASE STUDY NIGERIA
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 10
Abstract
Technology acceptance has been studied in different perspectives. Though a few empirical studies on acceptance of Web 2.0 as a social networking tool in teaching and learning exist, none of such studies exist in Nigeria which is the focus of this study. This paper reports on a pilot study that begins to fill this gap by investigating the perceptions, attitude and acceptance of Web 2.0 in e-learning of this country. Based on literature review and initial primary study, a conceptual model of 9 variables and associated hypotheses was designed. The model was operationalised into a questionnaire that was used to collect data from 317 students from 5 universities. The findings that came from data analysis indicate that all the variables except motivation via learning management systems which are not presently used in these universities affect intention to use Web 2.0 in e-learning in Nigeria. Some of the validated variables are perceived usefulness and prior knowledge. The major conclusions and recommendations include the utilisation of Web 2.0 facilities to stimulate participation in learning. This work will contribute to the body of knowledge on acceptance of Web 2.0 social networking tools in teaching and learning. It will aid management decisions toward investing better on technology so as to improve the educational sector. This research will also be beneficial in the social development of individuals, local communities, national and international communities
Authors and Affiliations
Razep Echeng, Abel Usoro, Grzegorz Majewski
Keywords
Related Articles
- EP ID EP162127
- DOI 10.14569/IJACSA.2013.041022
- Views 100
- Downloads 0
A Machine Learning Tool for Weighted Regressions in Time, Discharge, and Season
A new machine learning tool has been developed to classify water stations with similar water quality trends. The tool is based on the statistical method, Weighted Regressions in Time, Discharge, and Season (WRTDS), devel...
Data Privacy Ontology for Ubiquitous Computing
Privacy is an ability to understand, choose, and regulate what personal data one shares, with whom, for how long and under what context. Data owners must not lose the rights of ownership, once the data is shared. Privacy...
Designing Smart Sewerbot for the Identification of Sewer Defects and Blockages
Internet of thing (IoT) is a new concept where the term ‘thing’ is associated with the configurable sensors and devices no matter domestic or industrial, whereas bridging up a relationship in between these things and int...
AdviseMe: An Intelligent Web-Based Application for Academic Advising
The traditional academic advising process in many tertiary-level institutions today possess significant inefficiencies, which often account for high levels of student dissatisfaction. Common issues include high student-a...
A Frequency Based Hierarchical Fast Search Block Matching Algorithm for Fast Video Communication
Numerous fast-search block motion estimation algorithms have been developed to circumvent the high computational cost required by the full-search algorithm. These techniques however often converge to a local minimum, whi...