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Monitoring and Evaluation (M&E) are fundamental processes that provide administrators, policymakers, and stakeholders with methods for learning from experience and improving implementation through the reallocation of resources. However, the success of these interventions depends heavily on effective project monitoring and evaluation (M&E) practices. This study therefore examined the effect of project monitoring and evaluation practices on the success of the rural school feeding program in Rutsiro District, Rwanda. The specific objectives were to determine the effect of an M&E baseline survey on the success of the rural school feeding program in Rutsiro District; analyze the effect of M&E planning on program success; assess the effect of M&E data management on program success; and evaluate the effect of M&E stakeholder involvement on program success. The study adopted both the Theory of Change and Utilization-Focused Evaluation. It used descriptive and correlational research designs and adopted a census approach involving 103 respondents, including 89 teachers, 10 staff members, two representatives of school feeding committees at the school level, and two SEIs. Data were collected through questionnaires, interviews, and document reviews. A pilot test was conducted with 10 respondents to determine the instrument's ability to produce consistent results over time. Data were analyzed using descriptive and inferential statistics, including correlation and regression analyses. The findings revealed that all M&E components (baseline survey, planning, data management, and stakeholder involvement) had a strong and significant positive influence on program success. Respondents showed high levels of agreement, indicating that effective M&E practices improve decision-making, resource allocation, accountability, and overall program performance. The study concluded that well-implemented M&E systems are essential for enhancing the effectiveness, sustainability, and impact of rural school feeding programs. Based on these findings, the study recommends strengthening baseline surveys, improving M&E planning frameworks, enhancing data management systems, promoting active stakeholder involvement, and ensuring adequate resource allocation to support long-term program success.

The study was directed by the following specific objectives: (i) to examine the impact of the result-based approach on the performance of the National Agriculture Insurance Scheme, and (ii) to analyze the effect of the participatory approach on the performance of the scheme, and (iii) to investigate the role of the reflexive approach in enhancing the program’s outcomes. The theoretical framework drew on decision-making theory, agricultural insurance theory, and contingency theory. The target group for this study comprises roughly 1,463 people. From this group, a stratified sampling technique was been employed to select 313 respondents. Information for the research obtained via questionnaires, interviews, and document analysis, including monthly district reports. The instruments were pilot-tested, resulting in a Cronbach’s alpha of 0.94, which confirms strong reliability. Data analysis involved descriptive and inferential statistics, specifically correlation and regression at a 0.05 significance level, with the assistance of SPSS Version 28. Ethical standards was upheld by securing informed consent from participants and ensuring the confidentiality of all responses.

Hydropower projects are vital for Rwanda’s economic growth, contributing to the national GDP and accounting for 48% of the country’s installed power capacity. However, these projects face significant environmental risks, including pollution, sedimentation, fluctuating water volumes, and natural disasters such as floods and landslides, which threaten operational efficiency and long-term sustainability. This study aimed to examine the influence of environmental risk factors, specifically pollution risk, sedimentation risk, volume risk, and natural disaster risk, on the performance of hydropower projects in Rwanda, with a focus on Rwaza Hydropower Project in Musanze District. The study is grounded in Stakeholder Theory and Risk Society Theory and adopted descriptive and correlational research designs. The target population consisted of 112 participants, including project managers, plant managers, operators, regulators, and other relevant stakeholders. The study highlights the significant negative influence of pollution, sedimentation, volume fluctuations, and natural disaster risks on the performance of hydropower projects in Rwanda. It is recommended that project managers strengthen environmental management, implement effective sediment and water volume control measures, enhance disaster preparedness, and involve local communities to sustain project performance. Future research could examine the economic impacts of environmental risks, the effectiveness of mitigation strategies, climate change effects, and community participation in improving hydropower sustainability.      

This study examined the influence of implementation interventions on the success of education infrastructure projects in Rwanda, using the China-Aided Expansion Project of IPRC Musanze as a case study. The study was grounded in the recognition that project success is not solely dependent on the availability of financial resources but is largely influenced by the effectiveness of implementation strategies throughout the project lifecycle. Specifically, the study assessed the effect of materials and resource management, financial management, technology adoption, and human expertise and skills development on project success. The study was guided by Implementation Theory and the Project Success Model and adopted both descriptive and correlational research designs. The target population comprised 123 employees of IPRC Musanze at the time of project implementation, including three who were assigned to supervise the project on behalf of the beneficiary institution, as well as 1,243 students who were enrolled during the same period. This resulted in a total population of 1,366 respondents. A mixed sampling approach was employed, whereby a census technique was applied to the employee category, while simple random sampling was used for the student category. Data were collected using questionnaires, interviews, and document review to ensure triangulation and enhance the validity of findings.