David O. Egete

Work place: Department of Computer Science, University of Calabar, Calabar, Nigeria

E-mail: davidegete@unical.edu.ng

Website: https://orid.org/0009-0002-1798-4264

Research Interests:

Biography

David Oboboho Egete, Ph.D. a native of Ina Amissine Village in Egbizim Agwagune , Biase Local Government Area of Cross River State, Nigeria. He was born on the 13th May, 1969. Diploma and B.Sc. (all in Uncial), M.Sc. and Ph. D. (EBSU, Abakaliki) all in Computer Science and he belong to is a member, Nigeria Computer Society (NCS).

Author Articles
Delivering the Core Curriculum and Minimum Academic Standards (CCMAS) in a Virtual Platform in Nigeria: A Systematic Review

By Gabriel James Anietie Ekong David O. Egete Martha Orazulume Iniobong Okon Aniekan Effiong

DOI: https://doi.org/10.5815/ijeme.2026.01.01, Pub. Date: 8 Feb. 2026

This research investigates the effectiveness of various virtual learning platforms; Zoom, Class Dojo, Google Classroom, and VICBHE (Virtual Interactive Classroom for Bilingual Higher Education), in delivering Core Curriculum and Minimum Academic Standards (CCMAS)-aligned content. The study evaluates platform features such as multimedia support, interactivity, student engagement, ease of assignment distribution, real-time feedback, CCMAS curriculum alignment, ease of use for teachers, and content delivery. This study reveals the platforms ' strengths and weaknesses in facilitating learning outcomes through a combination of regression analysis and experimental data from multiple educational settings. The findings indicate that student engagement and curriculum alignment have the most significant impact on educational success, with Google Classroom emerging as the most effective platform overall. VICBHE, designed to deliver region-specific content, excels in curriculum alignment but faces challenges in interactivity and real-time feedback, limiting its effectiveness in dynamic learning environments. The research concludes with recommendations for platform improvements and strategies for optimizing virtual learning in diverse educational contexts.

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