Assessment of the Learning Management Systems in Tertiary Institutions in Nigeria: A Narrative Review of Published Studies from 2008 to 2024
Journal Title: Nursing & Healthcare International Journal - Year 2024, Vol 8, Issue 4
Abstract
Background: The emerging technology to aid learning is the Learning Management Systems (LMS) that help to improve learning and teaching. There is an evolving new perspective to the concept of education with the recent fast development of technologies towards the generation of knowledge, the presentation of knowledge and the new way to reach knowledge. This formulated the increase adoption of Learning Management Systems (LMS) with various adoption patterns. Objectives: We narratively reviewed the Learning Management Systems in Tertiary Institutions in Nigeria from 2008 -January 2024 to generate evidence for planning and policy. Methods: The study was a narrative overview of studies related to learning management systems in tertiary institutions in Nigeria. Studies published between 2008- January 2024. The search terms included key words, set synonyms in databases relating to learning management systems. Three main databases: Google Scholar, PubMed, and CINAHL were considered. Abstract and full-text articles were obtained. Results: The geographical spread of the studies reviewed had national geographical spread (56.4%) across board with 25.6% of the studies carried out in institutions in the South-west geographical zone. The most popular instrument used in the studies is the questionnaire (56.4%), while data base constituted 12.8% of the studies. The majority (87.2%) were carried out in the university setting while 12.8% in the colleges of education. Table 6 presents the studies focus indicated that 20.5% of the studies assessed the usages of LMS, 10.2% Conclusion: The study largely suggested satisfaction of LMS with full positive impact on educational sectors promoting improvement in learning and teaching. However, many institutions are still far from its implementation.
Authors and Affiliations
Austine EI1, Sunday ON2, Lizette NE2, Ugochi AA2, Jovita IN2, Amarachi SE2, Eze UD2, Maureen UA2, Brian OO2,4*, Ifeoma BU3, Loveth IE3, Mercy AN4, Nneoma NO5, Ngozi AO6 and Nkeiruka GO7
Keywords
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- EP ID EP748232
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