This paper assessed the use of school data management system in performance of students in twelve years basic education in Musanze District. The Research project aimed to achieve the following objectives: to evaluate the DSMS types of financial services in use for the performance of students of 12YBE; to assess the role of SMS academic evaluation in the performance of students of 12YBE; to show how SDMS helps in school infrastructure management for the performance of students of 12YBE; and to ascertain the effects of SDMS personal identification in the performance of students of 12YBE. The research project employed a descriptive survey design, incorporating both quantitative and qualitative methodologies. The target population was 1,130 respondents projecting in education sector Musanze District. In this Research project 339 respondents were sampled from 1,130 teaching staff. This sample was scientifically determined using an appropriate research project formula. The sample size was determined using Slovin’s formula. Stratified random sampling was implemented, wherein strata were established according to the schools. The primary data were collected using questionnaires elaborated for 339 respondents. For validity, the questionnaire was shared with seasoned research project for their inputs which were taken into consideration before piloting the questionnaire and conducting comprehensive data collection. The data analysis encompassed both quantitative and qualitative methods. Quantitative research project involved precise measurement techniques to yield accurate mathematical outcomes. Data were presented in tables and graphs, and quantitative data were analyzed and interpreted using the Statistical Package for Social Sciences (SPSS) software. The findings were done for only 330 respondents as 9 questionnaires were not returned. So, the findings from 330 respondents showed that the use of School Data Management Systems (SDMS) in Rwanda’s 12-Year Basic Education system has demonstrated significant potential to enhance educational practices and improve student outcomes. The comprehensive analysis conducted in this Research project reveals strong correlations between SDMS implementation and various facets of student performance, academic evaluation, infrastructure management, and personal identification. Recommendations have been provided to both SDMS users in schools and MINEDUC to optimize SDMS utilization, ensure sustainable implementation, and foster data-driven decision-making.
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