This report provides a critical analysis of large-scale educational data, focusing on the Programme for International Student Assessment (PISA). It examines the background, methodology, and results of PISA, including its assessment of science, reading, and mathematics skills, and collaborative problem-solving. The report also delves into the educational contexts that influence student outcomes, such as socio-economic factors and student well-being in both home and school environments. Furthermore, the report evaluates the uses and limitations of large-scale educational data, considering factors like equity, student performance, and policy implications. The study also includes a procedural flowchart of data analysis and implementation. The report concludes with an evaluation of the PISA study's outcomes within two different educational contexts, highlighting the impact of various factors on student development and the implications for educational practices and policies. The analysis includes how socio-economic factors, student wellbeing in school, and learning environments impact educational outcomes. The report emphasizes the importance of considering these contexts when interpreting and applying the findings of large-scale educational studies.
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