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Abstract: Public School Leaders' Perceptions of School Readiness for Data-Driven Leadership in the United Arab Emirates : A MixedMethods Study.

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Abstract

There is a growing need for Data-Driven Leadership (DDL) in UAE. While the implementation frameworks serve as a ground approach for implementing DDL, there has yet to be an application of this concept in the UAE school context. This research aims to assess the readiness of Western region cycle two and Three public schools for DDL implementation. The study used the exploratory sequential mixed methodology design based on the Active Implementation Framework (AIF) drivers. in the first qualitative research phase, the researcher used the Scoping review procedure to scope sixty-three literature sources, and in the second quantitative research phase, the researcher surveyed the research sample of sixteen school principals from nineteen cycle two and three public schools in the Western region, using the School Principal questionnaire, the sampling method used was simple random sampling. And then descriptive analysis was used to analyse the collected data. The research findings suggest that principals are more ready for DDL in terms of organisational drivers than competency drivers. However, the level of readiness of the leadership for DDL remains somewhat uncertain, with items for that driver falling between the highest and middle-scoring groups. School principals identified competency, organizational, and technical leadership drivers as key implementation drivers for improving DDL in their schools. The research recommends further research to understand the role of adaptive leadership in successful DDL implementation. In conclusion, this research has provided valuable insight into the implementation of DDL in Western region cycle two and three public schools. and highlighted the importance of various AIF drivers to the successful implementation of DDL.
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BOSEDE I. EDWARDS
MUSTAFA KLUFALLAH
BRUNO LOT TANKO
2nd International Conference
on Global & Emerging Trends
UN IV ER SI TI T EK NO LO GI M AL AY SI A,
KU AL A LU MP UR
23 - 25 November, 2023
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