BIBLIOMETRIC STUDY OF EDUCATIONAL EVALUATION USING DATA MINING ON THE PISA TEST BASE

Abstract

The Programme for International Student Assessment (PISA) is an international testing program of Organisation for Economic Co-operation and Development (OECD) held in over 60 countries all over the world. The database is open access, and hence it offers a possibility for scientific exploration and data mining. The requirements of a detailed study of educational data presuppose the use of technologies that allow the analysis of a vast amount of data, and therefore, extract relevant information and knowledge. The data mining is one of the techniques that helps the discovery of knowledge in large databases. A bibliometric study in this area is relevant for providing information and guidance to researchers regarding the progress of scientific production. This research aims to map the scientific production in the area of educational evaluation, focused on the PISA test  using data mining techniques, presenting a broader view of national and international scientific production within this context. For this purpose, a bibliometric study of the scientific production indexed in the Scopus database was carried out considering the period of the last ten years. The final results point to the absence of studies that use data mining to make educational evaluations on the basis of PISA. This absence indicates a production deficit in this area, which has great potential to be explored.