Analysis of Academic Achievement in Higher-Middle Education in Mexico through Data Clustering Methods

Abstract

In recent years, there is a natural need to look for new ways to analyze and process data from different sources. One of these ways is through data analysis methods. Thus, given the importance of making academic diagnoses, this paper presents the academic achievement analysis, in Language and Communication and Mathematics, of students from autonomous, public and private schools of Higher-Middle Education in Mexico through data analysis methods. Data analyzed were registers of the National Plan for the Evaluation of Learning, which puts into operation the National Institute for the Evaluation of Education in coordination with the Secretariat of Public Education, Mexico. A variety of academic achievements was observed, highlighting Insufficient and Elementary in the evaluated population, while a small number reached acceptable achievements, that is, Satisfactory and Outstanding. This contrasts a notable difference between the levels reached by students, which leads them to delay or stop their university studies because they obtain a completion certificate of studies without having the necessary knowledge to pass the entrance examination in the universities.