Interactive System for the Analysis of Academic Achievement at the Upper-Middle Education in Mexico

Abstract

In recent years, there is an interest to find new ways to analyze and process data from different sources. One of these ways is through user-centered data mining, based on the fundamentals of the usability engineering and accessibility. The academic achievement, at Language and Communication and Mathematics, of students at the upper-middle education in Mexico was analyzed through a partitional clustering algorithm. A variety of academic achievements were observed, highlighting Insufficient and Elementary in the evaluated population, while Good and Excellent achievements were achieved by a reduced number of schools. This contrasts a notable difference between the achievements of the students, leading them to delay or stop their university studies because they obtain a certificate without the knowledge to pass the college entrance exams.