Research of the Academic Performance of University Students Through Statistical Models

Olga Solano Dávila; Luis Nuñez Lira; Olga Bolaños Solano; Néstor Mamani-Macedo

doi:10.1007/978-3-030-57566-3_47

Research of the Academic Performance of University Students Through Statistical Models

Olga Solano Dávila, Luis Nuñez Lira, Olga Bolaños Solano, Néstor Mamani-Macedo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this work, there were analyzed some factors, such as demographic variables, study habits, and academic stress, which influence academic performance, especially in students of the faculty of mathematical sciences of a public university. A cross-sectional, descriptive, and explanatory study was used from a statistical approach, which was made up of 311 students. The data were collected during the first semester of 2019 using the academic stress inventory, the vicuna study habits inventory, and the demographic variables, age, gender, professional school, and socioeconomic level; subsequently, the weighted average of the students was obtained. The results show that variables that influence academic performance are: age, professional school, study habits, and the dimension reactions to academic stress and the variables that do not influence performance are: gender, socioeconomic level, level of stress, stressors, and coping strategies for academic stress.

Original language	English
Title of host publication	Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology
Editors	Yuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Ana Carolina Borges Monteiro
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	473-481
Number of pages	9
ISBN (Print)	9783030575656
DOIs	https://doi.org/10.1007/978-3-030-57566-3_47
State	Published - 2021
Event	5th Brazilian Technology Symposium, BTSym 2019 - Campinas, Brazil Duration: 22 Oct 2019 → 24 Oct 2019

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	202
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	5th Brazilian Technology Symposium, BTSym 2019
Country/Territory	Brazil
City	Campinas
Period	22/10/19 → 24/10/19

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Academic performance
Academic stress
Demographic variables
Study habits

Access to Document

10.1007/978-3-030-57566-3_47

Cite this

Solano Dávila, O., Nuñez Lira, L., Bolaños Solano, O., & Mamani-Macedo, N. (2021). Research of the Academic Performance of University Students Through Statistical Models. In Y. Iano, R. Arthur, O. Saotome, G. Kemper, & A. C. Borges Monteiro (Eds.), Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology (pp. 473-481). (Smart Innovation, Systems and Technologies; Vol. 202). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-57566-3_47

Solano Dávila, Olga ; Nuñez Lira, Luis ; Bolaños Solano, Olga et al. / Research of the Academic Performance of University Students Through Statistical Models. Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology. editor / Yuzo Iano ; Rangel Arthur ; Osamu Saotome ; Guillermo Kemper ; Ana Carolina Borges Monteiro. Springer Science and Business Media Deutschland GmbH, 2021. pp. 473-481 (Smart Innovation, Systems and Technologies).

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Solano Dávila, O, Nuñez Lira, L, Bolaños Solano, O & Mamani-Macedo, N 2021, Research of the Academic Performance of University Students Through Statistical Models. in Y Iano, R Arthur, O Saotome, G Kemper & AC Borges Monteiro (eds), Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology. Smart Innovation, Systems and Technologies, vol. 202, Springer Science and Business Media Deutschland GmbH, pp. 473-481, 5th Brazilian Technology Symposium, BTSym 2019, Campinas, Brazil, 22/10/19. https://doi.org/10.1007/978-3-030-57566-3_47

Research of the Academic Performance of University Students Through Statistical Models. / Solano Dávila, Olga; Nuñez Lira, Luis; Bolaños Solano, Olga et al.

Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology. ed. / Yuzo Iano; Rangel Arthur; Osamu Saotome; Guillermo Kemper; Ana Carolina Borges Monteiro. Springer Science and Business Media Deutschland GmbH, 2021. p. 473-481 (Smart Innovation, Systems and Technologies; Vol. 202).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research of the Academic Performance of University Students Through Statistical Models

AU - Solano Dávila, Olga

AU - Nuñez Lira, Luis

AU - Bolaños Solano, Olga

AU - Mamani-Macedo, Néstor

PY - 2021

Y1 - 2021

N2 - In this work, there were analyzed some factors, such as demographic variables, study habits, and academic stress, which influence academic performance, especially in students of the faculty of mathematical sciences of a public university. A cross-sectional, descriptive, and explanatory study was used from a statistical approach, which was made up of 311 students. The data were collected during the first semester of 2019 using the academic stress inventory, the vicuna study habits inventory, and the demographic variables, age, gender, professional school, and socioeconomic level; subsequently, the weighted average of the students was obtained. The results show that variables that influence academic performance are: age, professional school, study habits, and the dimension reactions to academic stress and the variables that do not influence performance are: gender, socioeconomic level, level of stress, stressors, and coping strategies for academic stress.

AB - In this work, there were analyzed some factors, such as demographic variables, study habits, and academic stress, which influence academic performance, especially in students of the faculty of mathematical sciences of a public university. A cross-sectional, descriptive, and explanatory study was used from a statistical approach, which was made up of 311 students. The data were collected during the first semester of 2019 using the academic stress inventory, the vicuna study habits inventory, and the demographic variables, age, gender, professional school, and socioeconomic level; subsequently, the weighted average of the students was obtained. The results show that variables that influence academic performance are: age, professional school, study habits, and the dimension reactions to academic stress and the variables that do not influence performance are: gender, socioeconomic level, level of stress, stressors, and coping strategies for academic stress.

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A2 - Borges Monteiro, Ana Carolina

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 22 October 2019 through 24 October 2019

ER -

Solano Dávila O, Nuñez Lira L, Bolaños Solano O, Mamani-Macedo N. Research of the Academic Performance of University Students Through Statistical Models. In Iano Y, Arthur R, Saotome O, Kemper G, Borges Monteiro AC, editors, Proceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology. Springer Science and Business Media Deutschland GmbH. 2021. p. 473-481. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-030-57566-3_47

Research of the Academic Performance of University Students Through Statistical Models

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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