Dr. Aniefiok E. Udofia is a lecturer and Head of Department of Industrial Technology, University of Uyo, Uyo, Akwa Ibom State, Nigeria. He’s a scholar that has presented papers in several international conferences as well as published high quality papers in international paper.
Semantic Web Technologies in Nigerian, Universities Faculty of Law for ELearning during Omicron SARS-CoV-2 Variant Outbreak
Abstract:
The study examined the availability and utilization of semantic (3.0) web technologies in Nigerian Universities Faculty of Law for e-learning during Omicron SARS-CoV-2 variant outbreak. The research area was South-South and South-East, Nigeria. Three research questions were formulated to guide the study. Survey design was adopted and the population of 324 lecturers from Faculty of Law in ten Universities was used. Simple random sampling technique was used to select 150 lecturers for the study. 15-items Structured questionnaire used for data collection was faced validated and reliability coefficient was established using Cronbach Alpha statistics which yielded a coefficient of 0.92. 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 update of e-learning technologies, organisation of workshop, seminar, conferences on integration of e-learning in Faculty of Law as well as connecting the Universities to stable electric grid for effective usage of the semantic technologies for e-learning.