Digital Learning Technology Usage and Teaching Effectiveness of Business Educators in Nigeria’s South-South Universities
Abstract
All subjects may be taught well, but a big part of it is how the instructor uses technology to make learning beneficial for the learners. This study investigated the extent to which digital learning technologies’ usage influences the teaching effectiveness of business educators in Nigeria’s South-South universities. Two specific objectives were established and two null hypotheses were tested. The level of significance was set at 0.05. Relevant literature was reviewed. The study adopted a predictive correctional research design. The study participants were 170 business educators from twelve universities in South-South Nigeria. No sample was drawn because the population was manageable. Data was generated using a 24-item Likert scale questionnaire called the "Digital Learning Technologies and Teaching Effectiveness Questionnaire (DLTTEQ). Seven experts from the University of Calabar validated the DLTTEQ. The study’s assumptions were evaluated using simple linear regression. The use of virtual reality simulation and teleconferencing by business educators in Nigeria’s South-South universities was found to significantly predict their teaching effectiveness. Sequel to the research findings, the study recommends that the national government should foster simulation-based education by building a digital learning environment appropriate for Business Education. The insights of this study call for the implementation of international best practices in order to help learners and instructors transition from digital immigrants to electronic natives. © 2023 authors. All rights reserved.
Author(s)
Undie Stephen Bepeh, Richard Ayuh Ojini, Samuel David Udo, Effiong Abigail Aniefiok, Nkebem Ubong Bassey
Year
2023
Countries
Nigeria
Language
English
Research Method
Quantitative
Article Type
Peer-Reviewed Articles
Keywords
Higher education | ICT in education | Teaching methods | Teacher capacity | Excel Import
Full Citation Style
Research Team
Undie Stephen Bepeh
Richard Ayuh Ojini
Samuel David Udo
Effiong Abigail Aniefiok
Nkebem Ubong Bassey
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