TY - GEN
T1 - Improvement of educational performance indicators in Peru through mathematical optimization
AU - Acosta, Lady Denisse Infante
AU - Polo, Jonatán Edward Rojas
N1 - Publisher Copyright:
© 2020 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Academic performance improvement
KW - Educational system
KW - Mathematical optimization
KW - Tutoring center
UR - http://www.scopus.com/inward/record.url?scp=85096800400&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2020.1.1.394
DO - 10.18687/LACCEI2020.1.1.394
M3 - Conference contribution
AN - SCOPUS:85096800400
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 18th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Engineering, Integration, and Alliances for a Sustainable Development" "Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy", LACCEI 2020
Y2 - 27 July 2020 through 31 July 2020
ER -