PRIORITIZING SCHOOLS FOR SPECIALIZED INTERVENTIONS: A CASE STUDY FROM THE PERSPECTIVE OF THE AHP-GAUSSIAN METHOD

This study proposes the application of the AHP-Gaussian method as a decision support tool for the prioritization of schools that require specialized intervention. The approach combines the multicriteria logic of the AHP with statistical normalization based on Gaussian parameters, allowing the attribution of weights to the indicators based on their relative variability. A sample of 28 schools was analyzed, considering seven indicators: performance in the assessment of school compliance; performance variation in large-scale assessments between 2024 and 2025; financial results in 2024 and 2025 (measured by the achievement of agreed goals); performance in efficiency indicators in the years 2024 and 2025; and the comparison of enrollments in relation to the network, representing the size of the unit. The results made it possible to construct a synthetic index capable of ordering schools according to their need for intervention, contributing to greater objectivity, transparency, and efficiency in the allocation of resources and educational management efforts.