Kabale University Digital Repository (KAB-DR)
KAB-DR preserves research output from the Kabale University community
Communities in KAB-DR
Select a community to browse its collections.
- The collections in this Community are comprised of Indigenous Knowledge emanating from communities in the neighborhoods of Kabale University. These are communities in the great Kigezi Region.
- This community holds students (Graduates) dissertation and Thesis, Staff field reports, Students (undergraduate) study reports
- The community includes research article publications in journals both local and international, conference papers in proceedings and reports, abstracts and reviews by Kabale University Staff and Students
- This community archives publications by individual University Staff and Students, Faculty and Departmental Publications (i.e. University Journal, Newsletters, University official publications etc.), groups and Association operating in the University (i.e. Convocation and Staff and Students Association}
Recent Submissions
Instructional materials and pupils’ reading skills in primary schools in Serere town council, eastern Uganda.
(International Journal of Research in Education Humanities and Commerce, 2025) Edoru, John Michael; Ijangu, Dinah.
This article focuses on the use of Institutional Materials (I.M.S) as a strategy for developing the reading skills in pupils in primary schools. Serere Town Council, Serere District in Eastern Uganda was taken as a case study. As a third world country, Uganda is faced with challenges in the area of education which have had a direct impact on the literacy level of learners. Being a country of diverse cultures, learners are taught in a language (English) which is not their mother tongue. The socio-economic challenges, particularly of having little or no parental support, as well as the challenges of educators who are not proficient in English as a medium of instruction, and large class sizes contribute to the low literacy levels. The study main objective was to establish whether the availability and use of I.M.S could improve reading skills among primary school pupils. The study revealed that I.M.S when properly utilized in the teaching of reading skills makes it easier for the leaner to excel in academic performance at all levels of education. I.M.S therefore, are of great importance for the teaching and learning of reading in primary schools especially at lower levels of education. The researchers therefore recommend that Primary school teachers should embrace the use of I.M.S, to develop the reading skills of pupils in primary schools.
A new combined analytical–numerical probabilistic method for assessing the impact of DERs on the voltage stability of bulk power systems
(Energy reports, 2024) Wanjoli, Paul; Moustafa, Mohamed M. Zakaria; Abbasy, Nabil H.
The integration of distributed energy resources (DERs) and unpredictable loads has increased uncertainty in power systems. Traditional methods struggle to assess performance under these uncertainties, and existing probabilistic methods face challenges with complexity and accuracy. This paper introduces a new combined analytical–numerical probabilistic method to assess the impact of DERs on voltage stability. Using Bayesian Parameter Estimation (BPE), the method derives the analytical properties of random variables (RVs) associated with DERs and loads, obtaining posterior distributions. The Metropolis–Hastings sampling technique then estimates these posteriors numerically, enabling accurate predictions of DERs and load outputs. Voltage stability analysis was performed using the continuation power flow method and validated on the IEEE 59- bus test system in MATLAB/Simulink. The results show that integrating DERs significantly improves voltage stability. The proposed method outperforms the Monte Carlo simulation (MCS)-based method in accuracy and computational speed, increasing DERs penetration and voltage stability limits by 3%. It closely matches MCS voltage estimates but requires fewer iterations (500 per loading increment) compared to MCS’s 1000, leading to faster computation times (a few hours to one day versus up to three days for MCS). This method provides an efficient solution for managing uncertainties in power systems.
Teacher reward challenges and student academic performance in selected secondary schools in Luwero district.
(International Journal of Research in Education Humanities and Commerce, 2025) Auk, Timothy; Sekiwu, Denis; Edoru, John Michael
Poor academic performance remains a major challenge in Luwero District, mainly attributed to a disproportionality in teacher reward systems. Thus, this study was intended to explore how teacher reward challenges, affect student academic performance in selected secondary schools in Luwero District. Using the descriptive research design, data was collected from a sample of 108 participants. The findings were that the teachers and administrators enrolled, showed that teacher reward challenges like meager payment 77.3%, rewards not on merit 63.9%, no recognition 66.0%, inadequate funding for teachers reward 85.6, poor management of teacher reward systems 76.3% and salary delay 84.5% influences student academic performance. The current teacher reward systems may indicate that these challenges continues to have a significant impact on student academic performance. Interventions targeting teacher reward systems, particularly on monetary and non-monetary reward, non-delayed salaries, no meager payment, recognition aspects, are vital.
The role of the African University in the Continent’s Development
(International Journal of Research in Education Humanities and Commerce, 2025) Edoru, John Michael; Adebayo, Tajudeen Sanni
This article deals with the role of African universities and higher education institutions in the development of the continent. Knowledge production is the responsibility of higher education institutions. Knowledge can only be useful it can be used for the wellbeing of humanity. African governments therefore, believe that investing in higher education and producing many university graduates is a gateway to their development. In most cases, these governments forget about the need to churn out the personnel that is crucial for their development and produce them just for the sake of it. The notion of having many university graduates as a means to achieve the country’s development is therefore in balance since the universities produce graduates of all cadre. Some of these may be unemployable and may not meet the current needs of the society. Most of the businesses, government parastatals, educational institutions, and ministries heavily rely on manpower that is a product of a university or a higher institution of learning. Without knowledge production, it is impossible to talk about the achievement of the Millenium Development Goals which many countries are hoping for by the year 2025.In these goals, the emphasis is put on poverty eradication, education for all, health for all, food security for all among others. The important question therefore that this paper attempts to answer is as to whether African universities actually play an important role in providing the required knowledge that Africa and the world badly require for development. The paper will scan through the continent’s major universities and attempt to make an assessment of the impact in terms of knowledge and contributions that these universities are making to Africa’s development. Governments in Africa need to look at their needs in terms of the priorities to bolster their development and gear their curricular towards meeting those priorities.
Probabilistic Power Flow Analysis of DERs Integrated Power System From a Bayesian Parameter Estimation Perspective
(IEEE Access, 2024-11) Wanjoli, Paul; Moustafa, Mohamed M.Zakaria; Abbasy, Nabil H.
The rise of distributed energy resources (DERs) in power systems demands efficient models for power flow analysis. Existing models often face challenges in balancing computation speed and accuracy. This paper presents a probabilistic power flow (PPF) method for systems with DERs, using Bayesian parameter estimation (BPE) to handle uncertainties in wind speed, solar irradiance, and loads. By applying Bayes’ theorem, BPE estimates posterior distributions, refined by the Metropolis-Hastings algorithm. Validated on IEEE 39-bus and 59-bus test systems in MATLAB/Simulink, BPE outperformed the 2m+1 point estimate method (PEM) in terms of accuracy, computation speed and scalability. Simulation results demonstrate superior accuracy of BPE, yielding voltage profiles and congestion indices closely matching those of Monte Carlo Simulation (MCS) but with lower computation time. For instance, under heavy loading, BPE achieved a congestion index of 0.0617 (compared to PEM’s 0.2228 and MCS’s 0.0611). BPE also provided faster results as system size increased, averaging 3.477 hours, versus PEM’s 6.837 hours and MCS’s 11.524 hours. Statistical analyses confirmed BPE’s consistent performance and minimal error, making it more efficient for large systems. Thus, BPE-based PPF is recommended for power system planning and operation under uncertain conditions, owing to its robustness, accuracy, and computational efficiency.