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SEMANTIC WEB TECHNOLOGIES IN NIGERIAN UNIVERSITIES FACULTY OF LAW FOR E-LEARNING DURING OMICRON SARS-COV-2 VARIANT OUTBREAK

ABSTRACT

The study examined the availability and utilization of semantic (3.0) web technologies in Nigerian universities' faculties of law for e-learning during the Omicron SARS-CoV-2 variant outbreak. The research area was the south-south and south-east geopolitical zones in Nigeria. Two research questions were formulated to guide the study. The survey design was adopted, and a population of 324 lecturers from the Faculty of Law at ten universities was used. A simple random sampling technique was used to select 150 lecturers for the study. A 20-item structured questionnaire used for data collection was faced validated, and a reliability coefficient was established using Cronbach's alpha statistics, which yielded a coefficient of 0.92. A frequency count was used to answer the research questions. Findings of the study revealed that technologies available and utilized in all the Universities for e-learning are worldwide web and zoom while YouTube and Skype are available in few Universities. The study further showed that Microblogging, Virtual 3D libraries, Virtual worlds and avatars, Canva, Logitech, Class dojo, Adobe Spark Video, Virtual laboratories, Real Simple Syndication Feeds, E-Class Roll, Prezi, Science-360-Video, Podcasts, Quizlet, Wikis and Virtual 3D Encyclopedia technologies were not available. Based on the findings of the study, it was recommended that Federal, State government and Universities should make available semantic web technologies for e-learning in Faculty of Law. The study further recommended regular appraisal and updating of e-learning technologies, the organization of workshops, seminars, and conferences on the integration of e-learning in the Faculty of Law, as well as connecting the universities to a stable electric grid for effective usage of the semantic technologies for e-learning.

KEYWORDS:     Omicron Variant, University Law Faculty, Nigeria, Semantic Web, E-Learning.

Esther Edet ARCHIBONG; Samuel Amos Ikpe & Williams Kennedy George
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2659 - 1057

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