Abstract:In recent years, the Peruvian Ministry of Education has been conducting census evaluations aimed at fourth grade elementary and second grade high school students, in the subjects of mathematics, reading comprehension, social sciences and science and technology, whose results are qualified as Prior to Start, Start, In Process or Satisfactory. According to the latest census (ECE 2018) applied to high school students, it is observed that, although the area of mathematics has the second highest percentage qualified as Satisfactory (14.1%), it has the disadvantage of registering 36.4% as Start and 33.7% as Prior to Start, which represents one of the biggest obstacles to achieve optimal academic performances across all subjects evaluated.
For these reasons, this research aims to improve and consolidate mathematical knowledge in high school students through a strategic distribution of tutoring centers, within the Lima metropolitan area. To achieve this, the ECE 2018 database was analyzed to cluster the results according to the districts that constitute each of the five areas of Lima; subsequently, it was evaluated and determined those areas in which centers are primarily required; and finally, through mathematical optimization, it was determined the optimal number of required centers and their locations to maximize the coverage. |
