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This study examined monitoring and evaluation practices on the performance of infrastructure projects in Rwanda, with a specific focus on budgeting, technical expertise, and planning. This study used budget theory, human capital theory, and rational planning theory. The study utilised the descriptive and correlational research designs with a questionnaire for data collection from 127 respondents; a census method was used. The descriptive and inferential statistics were used to analyse data. The model's explanatory power (R²=0.632; Adjusted R²=0.623) stated that the predictor variables explain 63.2 percent of the variation in the technical training infrastructure project in Nyaruguru District. The model returns an F-statistic of 68.681, degrees of freedom (3, 120), and a significance value of 0.000, which is less than the significance level of 0.05. This study rejected the Ho1 because the obtained results of p-value is greater than 0.05 (p˂0.05), this study also rejected H02 because the obtained results of p-value is less than 0.05 (p<0.05), and it failed to reject H03 because the obtained results of p-value is greater than 0.05 (p˃0.05). This study concludes that there is an influence of M&E budgeting, technical expertise, and M&E planning on the performance of the technical training infrastructure project in Nyaruguru district. This study recommends meticulously recording financial flows so that funds are accessed on time for critical milestones. This study contributes to improving the monitoring and evaluation frameworks specifically tailored for assessing infrastructure project performance in developing economies. It emphasises the importance of effective evaluation methods to ensure that infrastructure projects meet their intended goals and deliver value to communities.
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Eliandeli et al. (2026) studied this question.
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