The Impact of Data-Driven Decision Making of School Leaders on Students’ Educational Outcomes: A Study among Teachers and Leaders in a Private School in Dubai

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The British University in Dubai (BUiD)
In the heart of analytical and technological advancements in Dubai, we see how this growth affects education in private schools. This aligns with the UAE's focus on developing human capital and the values of Sheikh Zayed bin Sultan Al Nahyan, emphasizing improved education to prepare students for the workforce. In this context, this research aims at exploring school leaders and teachers perceptions of the impact of Data-driven decision-making practices on student academic performance using private schools in Dubai as a case study. The main research question is: How do data-driven practices and strategies employed by teachers and school leaders influence decision-making processes, and what is their impact on student academic performance in the context of private schools in Dubai? This study employed a mixed method approach in an American private school in Dubai. Methods of data collection are survey for 111 teachers, questionnaire for the 10 leaders and students’ performance in external assessment (MAP) in Math, English and Science. The findings show that the implementation of DDDM practices has a great impact on students’ performance despite the challenges faced by teachers and leaders. This study has many implications that could influence school leaders, educational practices and school policies locally and globally. In conclusion, this study lays the foundation for future advancements in data-driven decision-making within Dubai's educational setting. By embracing a thorough and inclusive approach to data utilization, the school can pave the way for significant improvements in student performance, instructional quality, and overall school development.
DDDM, student performance, leadership practices