Ülkelerin Eğitim Sistemi Performanslarının Çok Kriterli Karar Analizi Teknikleri ile Değerlendirilmesi

Abstract

Various stakeholders are increasingly interested in how well their education systems prepare students for life throughout the different perspectives on education quality (e.g., productiveness, effectiveness, efficiency, equity). Cross-national quality assessment methods and tools developed and applied in education may not be appropriate because of challenges in identifying convenient and contextually relevant quality indicators that adequately describe education systems, and uncertainty stemming from extent of variation in these indicators within countries. To guide policy planners and policymakers in national education management as well as to form the basis of comparability for further researches, this study aims to propose a decision support system for classifying and ranking education systems with respect to how well they prepare students for life.

The classification and ranking system is based on a set of performance indicators that measure the success of education systems in preparing students for life with different perspectives. Stochastic multi-criteria acceptability analysis (SMAA), a multi-criteria decision aid (MCDA) method, was used as the basis in this regard. This method enabled to cluster various education systems in different quality categories and rank them by competitiveness based on current knowledge of education systems‟ characteristics, variation within countries, and best professional judgments. By means of Monte Carlo simulations, all feasible values for weights, criteria measurements, and other model parameters were explored to assess the robustness of clustering and ranking countries with respect to the success of education systems. Stochastic analysis by means of SMAA-2 and SMAA-TRI methods show that ranking and sorting results with respect to the education system success of countries may vary dramatically.