Najim Ussiph

Work place: Department of Computer Science, Kwame Nkrumah University of Science and Technology, Ghana

E-mail: nussiph@yahoo.com

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Biography

Najim Ussiph holds Ph.D in Computer Science (Information Systems) from The University of Salford, UK and currently a faculty member in the Department of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi. Ghana. His primary research areas include, Machine Learning and Big Data, Management Information Systems, Human Computer Interaction, Software Engineering, Virtual Learning Environment and Learning Technologies, Application of social media in Education and Business.

Author Articles
Adoption of Blended Learning in Ghanaian Senior High Schools: A Case Study in a Less Endowed School

By Ebenezer Eghan Najim Ussiph ObedAppiah

DOI: https://doi.org/10.5815/ijmecs.2023.05.06, Pub. Date: 8 Oct. 2023

During COVID-19 pandemic, most tertiary institutions in Ghana were compelled to continue delivering of lectures online using internet technologies as was in the case of other countries. Senior high schools in Ghana were, however, not asked to do same, currently, the setting of most literature on blended or online learning in Ghana is focused on tertiary education. This paper situates the blended learning model in a less endowed senior high school to unearth the prospect of its implementation. The research provides an alternative to the traditional face-to-face learning, which is faced with the challenge of inadequate infrastructure, high number of students to class ratio, less compatibility with 21st learning skills and long-life learning in Ghana.
A customed Moodle application as web application tool, hosted students online in both synchronous and asynchronous interactions. Purposive quota sampling size technique was used to select an appreciable sample size to fully go through the traditional face-face model for a term and then study through the blended learning model for another term. Students’ examination performances for both were analyzed with a paired t test statistical model. Interviews with participants were conducted to ascertain their evaluation of the blended learning model and questionnaires were also administered to discover the institutional, technological, and human resource readiness for blended learning in senior high schools. The analysis of the data gathered, proved that blended learning in senior high schools has high prospect and is better alternative to face-to-face learning in Ghana.

 

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