Tobias Ide

The Programme for International Student Assessment (PISA) has become the world’s largest comparative assessment of academic achievement. To integrate the extensive number of studies that have investigated factors influencing math achievement across countries, we conducted a systematic literature review to present a comprehensive overview of factors influencing math performance in PISA. Guided by the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2020 and Bronfenbrenner’s theory of human development, we searched peer-reviewed journal articles in five databases, quantitatively and qualitatively synthesized the 158 articles. Over 140 factors were identified and categorized into five categories, namely: individual student, household context, school community, education systems and macro society. The analysis uncovered some factors, such as family socio-economic status, student-centered instruction, teacher and general staff shortage, Confucian culture and long-term orientation, that are consistently associated with math achievement. The explanatory power of most other factors, however, varied cross-nationally. The findings indicate that policy makers and stakeholders need to be cautious of national context when borrowing education practices and policies from other countries or regions.

Since 2000, the Programme for International Student Assessment (PISA) has directly and indirectly led to educational reforms and policy changes in many countries. PISA 2022 will focus on mathematics, with 38 OECD (Organisation for Economic Co-operation and Development) countries and probably over 50 non-members participating in this cycle. With the increased attention being paid to PISA results, extensive research has been conducted to investigate which factors contribute to high PISA math performance. This presentation will present the first comprehensive, systematic literature review on the factors that shape PISA math performance. Informed by an extensive understanding of these factors, the presenter will then utilise qualitative comparative analysis (QCA), an innovative method in education research, to further analyse the driver of high performance. Using the most recent math scores available from 65 countries, I will introduce my research design, share some preliminary results, and discuss pathways for further research.