ABSTRACT
In this chapter, the conclusions and research limitations are provided. With studies on PISA based on big data analysis forming the overarching theme, the book could be regarded as a guidance for utilizing machine learning algorithms in examining the mass global database. In an attempt to provide direct insights into the organization and development of PISA, the author writes this book for the purpose of identifying the origins and formations of every domain assessed, explaining tools employed to analyze data, giving further interpretations of PISA results and changes in results throughout the rounds, as well as allowing for growing attention to education amelioration and an appeal to more discussions on education.
