Improvement of the state regulation policy in the field of secondary education of Kazakhstan according to PISA 2015 data of students' well-being
DOI:
https://doi.org/10.31489/2023ec4/229-236Keywords:
PISA (Program for International Student Assessment), TIMSS (Trends in International Mathematics and Science Study), PIRLS (Progress in International Reading Literacy Study), ISCED (International Standard Classification of Education)Abstract
Object: The purpose of the study is to improve the secondary education system in relation to local and state regulation policies based on the data of PISA (Program for International Student Assessment) through factor analysis on the emphasis concentration of the determinants of student well-being. This study mainly aims to improve students' wellbeing by examining the international experience of PISA 2015. For this reason, the PISA 2015 data includes a variety of data that focus on different aspects of student well-being (PISA 2015, Volume III). Based on these questions, 46 variables were considered. In addition, the analysis of Kazakhstani experts based on the results of PISA 2015 is a data source.
Methods: All variables were selected for correlation analysis from the PISA 2015 report. The number of variables was reduced by eliminating highly correlated factors. Factor analysis identified a short list of indicators that have a high impact on student well being.
Findings: The PISA 2015 data includes a variety of questions that focus on different aspects of student wellbeing. Previous research on the key determinants of student well-being in general has been neglected for secondary education. A short list of determinants of student well-being based on PISA 2015 international data identifies key issues that warrant proper monitoring by education policymakers in Kazakhstan.
Conclusions: Based on the international experience of PISA 2015, recommendations on the necessary actions to improve the well being of students in Kazakhstan are addressed to stakeholders. This study examines a wide range of data to uncover key determinants based on international experience.