The demand for in-depth studies on educational data presupposes the application of technologies that allow data analysis of vast quantities, and subsequently, drawing relevant information and knowledge. The research objective herein is to employ data mining techniques on PISA databases to identify potential patterns that may explain the…

The OECD Programme for International Student Assessment (PISA) examines what students know in reading, mathematics and science, and what they can do with what they know. It provides the most comprehensive and rigorous international assessment of student learning outcomes to date. Results from PISA indicate the quality and equity of learning…

Purpose: This study analyzes the Programme for International Student Assessment (PISA) data, revealing that the test itself reflects China's educational problems as well as the resultant effect of digital governance. Examining the root cause of these problems, this study demonstrates that the education reforms implemented in response to the PISA…

There is considerable debate about the relative importance of family versus school factors in producing academic and nonacademic student outcomes, and whether and how their impacts vary across different student groups. In addition to critically reviewing and synthesizing earlier work, this study extends the literature by (a) using the ECLS-K, a…