Evaluation of Learning Management Systems for Success Factors

Adeyemi A. L, Mutebi Joe and Hussein Muhaise
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Adeyemi A. L: Kampala International University, Uganda
Mutebi Joe: Kampala International University, Uganda
Hussein Muhaise: Kampala International University, Uganda

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 3, 808-817

Abstract: Evaluating an information system for success is key. Evaluating success factors of a Learning Management System (LMS) is essential in perspective of information systems success in a developing country context. eLearning is vital to educational system considering its benefits and impacts, particularly in accessing learning from remote areas, suitable for different learners’ categories, minimal resource utilization in terms of cost and time. Through the literature reviewed on eLearning and Information System, the desire to determine the variables that measure the success factors for information systems continues. Existing Information System (IS) success models do not sufficiently evaluate eLearning in developing country, Uganda inclusive as the current IS success models are generic in nature. This study aimed to describe a model of information system success tailored to eLearning system, Kampala International University as a case study, a Uganda’s context. To address the above objective, a field study was conducted, using questionnaire to determine factors for information systems success in Uganda, a sample size of 370 respondents were used from population size of 5500 using Sloven formula. The respondents comprise of 340 students, 27 lecturers and 4 administrators. The identified success factors are skills & training, infrastructure and management support. Data were cleaned and analyzed using Statistical Package for Social Scientists version 20.0 (SPSS). This study adopted Delone and Mclean’s Information System Success model (2016) and extended it using factors obtained from the field study survey. Analysis was performed to evaluate the model.

Date: 2024
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