Modeling of a new Probabilistic Education Quality Indicator - CPP_QEdu

Márcia de Freitas Siqueira Sadok Menna Barreto, Annibal Parracho Sant’Anna

Quality of education. Quality indicators. Multi Criteria Decision Making. Composition of Probabilistic Preferences.

This research aims to propose a new probabilistic indicator of quality of education, CPP_QEdu. The proposed indicator intends to be more accurate than the existing ones, as it covers four dimensions of the quality of education: pedagogical, cultural, social, and financial, based on the definition of quality of education proposed by the United Nations Educational, Scientific, and Cultural Organization (UNESCO). The problem that arises in the construction of an indicator of educational quality is that its components seek to measure subjective values. This makes it necessary to introduce imprecision in the analysis to reduce evaluation errors. Thus, in addition to the comprehensiveness of dimensions, an important aspect of this study is the use of the Composition of Probabilistic Preferences (CPP), a multicriteria method to support the manager in the decision-making process that considers imprecision from the beginning. Finally, it is worth highlighting the possibility of application of the proposed indicator, using the variables of the quality panel proposed by the United Nations Development Program (UNDP) and the incorporation of this index in the Human Development Index (HDI).

Received: 27 Sept 2021, Received in revised form: 10 Nov 2021, Accepted: 16 Nov 2021, Available online: 24 Nov 2021

10.22161/ijaers.811.26