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Author: Rojas Polo, Jonatán Edward Subject: Educational system

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    Identification of factors that affect the academic performance of high school students in Peru through a machine learning algorithm
    (LACCEI Inc., 2021-07) Infante Acosta, Lady Denisse; Rojas Polo, Jonatán Edward
    The Peruvian Ministry of Education annually conducts the Student Census Evaluation (ECE, for its acronym in Spanish) to evaluate the level of learning achievement in the subjects of mathematics, reading and science and technology, both in public and private schools. The results are classified as Before beginning, Beginning, In process or Satisfactory. According to the results of the ECE 2019, it is observed that the academic performance achieved in the area of mathematics presents the highest percentage of students at the Satisfactory level (17.7%); however, in turn, said field of study is also the one that groups the highest percentage of students at the Before beginning level (33.0%). Considering the aforementioned, this research aims to identify those variables that affect the learning achievements in mathematics of high school students. Thus, for the proposed analysis, a classification model was built for each of the mentioned levels, through an ensemble machine learning algorithm that uses the gradient boosting method. As a result of the modeling, the importance of the variables analyzed was obtained, which finally identified those that have greater relevance in the prediction of the classification of each level of learning achievement.
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    Improvement of educational performance indicators in Peru through mathematical optimization
    (LACCEI Inc., 2020-07) Infante Acosta, Lady Denisse; Rojas Polo, Jonatán Edward
    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 Before beginning, Beginning, 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 Beginning and 33.7% as Before beginning, which represents one of the biggest obstacles to achieve optimal academic performances across all subjects evaluated. For these reasons, this research aims at improving and consolidating mathematical knowledge in high school students through the 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 constituting each of the five areas of Lima; subsequently, those areas in which centers are primarily required were identified; and finally, through mathematical optimization, the optimal number of centers required and their locations to maximize the coverage were determined.