Purpose This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach The proposed model for this study adopted a unified theory of acceptance and use of technology as a base model and incorporated the following constructs: availability of resources (AR), computer self-efficacy (CSE), perceived enjoyment (PE) and continuance intention to use (CIU). The study used an online questionnaire to collect data from 280 students of a Technical University in Ghana. The partial least square-structural equation model (PLS-SEM) method was used to determine the measurement model’s reliability and validity. Machine learning algorithms were used to determine the relationships among the constructs in the proposed research model. Findings The findings from the study confirmed that AR, CSE, PE, performance expectancy, effort expectancy and social influence predicted students’ continuance intention to use the LMS. In addition, CIU and facilitating conditions predicted the continuance use of the LMS. Originality/value The use of machine learning algorithms in e-learning systems literature has been rarely used. Thus, this study contributes to the literature on the continuance use of e-learning systems using machine learning algorithms. Furthermore, this study contributes to the literature on the continuance use of e-learning systems in developing countries, especially in a Ghanaian higher education context.

The objective of this research was to examine how satisfied students are with the facilities and services provided by private hostels and identify the satisfaction factors that predict student's choice of a hostel. A descriptive, cross-sectional survey was conducted among 350 purposively selected students staying in private hostels in Ho Polytechnic, Ghana. Logistic regression analysis was used to identify the predictors of the satisfaction factors. Results show that five factors "X2 (Security issues of the hostel)", "X4 (Availability of water facilities)", "X5 (Availability of electricity)", "X6 (Calm and peaceful environment)" and "X15 (Availability of toilet facilities)" were statistically significant in the prediction of students' satisfaction with hostel facilities and services with a predicted satisfaction rate of 98.03%. It is therefore recommended that there is a need for private developers to be engaged in a partnership scheme with the school management to construct more hostels on campus with current state of the art facilities which will meet the needs of the growing population of the students. Also, to attract students, management and developers of a hostel should provide an affordable hostel within a calm and peaceful environment with high level of security and availability of water, toilet and electricity facilities.

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In Ghana, the majority of reliable electricity is generated in centralized plants. This type of electricity generation structure undoubtedly contributes to the economic rise in electricity tariffs and transmission losses due to the operational cost of such plants and their vast distances from the communities respectively. In this paper, Linear Programming was used to nd the optimal power dispatch of a decentralized grid-connected photovoltaic system in the form of a microgrid for a minimum cost of electricity. The fundamental LP problem was optimized in AMPL (A Modeling Language for Mathematical Programming) properly employing the CPLEX solver. In the case study, the involvement of microgrid in the energy sector convincingly demonstrated a daily cost of GHS63,426.23 in the rst ve years accurately representing 18% potential reduction. This cost reduction will be increased tremendously to 75% in subsequent years. This is a lower energy bill as compared to the bill of the existing electricity structure.

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