An Intelligent System Based on Genetic Algorithms to Generate Study Groups Using Personality Traits and Academic Profiles in Higher Education

R. Garcia-Velez; V. Robles-Bykbaev; M. Lopez-Notes; D. Calle-Lopez; M. Barros-Ponton; J. Galan-Mena

doi:10.1109/CONIITI.2018.8587070

An Intelligent System Based on Genetic Algorithms to Generate Study Groups Using Personality Traits and Academic Profiles in Higher Education

R. Garcia-Velez, V. Robles-Bykbaev, M. Lopez-Notes, D. Calle-Lopez, M. Barros-Ponton, J. Galan-Mena

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

3 Scopus citations

Abstract

The Higher Education Initiative (HEI) promoted by UNESCO and other international institutions, proposes four fundamental postulates related to the sustainable development. From these postulates, one focuses on the cooperation with local and international networks. In the same way, it is important mentioning that in every group, it members are freely interacting individuals who share accepted norms and goals and have a collective identity. For these reasons, during the university training process, it is fundamental that students learn skills to work in groups as well as to address problems in multidisciplinary teams. In the light of the above, in this paper, we present an intelligent system that determines the best alternatives to automatically generate groups of students to address practice activities and problems. Our proposal uses a genetic algorithm to analyze the personality of the students and their academic profiles. The achieved results are encouraging and show a precision of 87% according to an expert team that evaluated the system.

Original language	English
Title of host publication	2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings
Editors	Carlos Andres Lozano-Garzon
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538681312
DOIs	https://doi.org/10.1109/CONIITI.2018.8587070
State	Published - 21 Dec 2018
Externally published	Yes
Event	4th Innovation and Trends in Engineering Congress, CONIITI 2018 - Bogota, Colombia Duration: 3 Oct 2018 → 5 Oct 2018

Publication series

Name	2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings

Conference

Conference	4th Innovation and Trends in Engineering Congress, CONIITI 2018
Country/Territory	Colombia
City	Bogota
Period	3/10/18 → 5/10/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

ACKNOWLEDGMENT This work has been funded by the “Sistemas Inteligentes de Soporte a la Educación (v5)” research project, the Cátedra UNESCO “Tecnologías de apoyo para la Inclusión Educativa” initiative, and the Research Group on Artificial Intelligence and Assistive Technologies (GI-IATa) of the Universidad Politécnica Salesiana, Campus Cuenca.

Funders	Funder number
Research Group on Artificial Intelligence and Assistive Technologies
Sistemas Inteligentes de Soporte a la Educación
Universidad Politécnica Salesiana del Ecuador

Keywords

Academic profile
Genetic algorithms
Higher education
Study groups

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CONIITI.2018.8587070

Cite this

Garcia-Velez, R., Robles-Bykbaev, V., Lopez-Notes, M., Calle-Lopez, D., Barros-Ponton, M., & Galan-Mena, J. (2018). An Intelligent System Based on Genetic Algorithms to Generate Study Groups Using Personality Traits and Academic Profiles in Higher Education. In C. A. Lozano-Garzon (Ed.), 2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings Article 8587070 (2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONIITI.2018.8587070

Garcia-Velez, R. ; Robles-Bykbaev, V. ; Lopez-Notes, M. et al. / An Intelligent System Based on Genetic Algorithms to Generate Study Groups Using Personality Traits and Academic Profiles in Higher Education. 2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings. editor / Carlos Andres Lozano-Garzon. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings).

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title = "An Intelligent System Based on Genetic Algorithms to Generate Study Groups Using Personality Traits and Academic Profiles in Higher Education",

abstract = "The Higher Education Initiative (HEI) promoted by UNESCO and other international institutions, proposes four fundamental postulates related to the sustainable development. From these postulates, one focuses on the cooperation with local and international networks. In the same way, it is important mentioning that in every group, it members are freely interacting individuals who share accepted norms and goals and have a collective identity. For these reasons, during the university training process, it is fundamental that students learn skills to work in groups as well as to address problems in multidisciplinary teams. In the light of the above, in this paper, we present an intelligent system that determines the best alternatives to automatically generate groups of students to address practice activities and problems. Our proposal uses a genetic algorithm to analyze the personality of the students and their academic profiles. The achieved results are encouraging and show a precision of 87\% according to an expert team that evaluated the system.",

keywords = "Academic profile, Genetic algorithms, Higher education, Study groups",

author = "R. Garcia-Velez and V. Robles-Bykbaev and M. Lopez-Notes and D. Calle-Lopez and M. Barros-Ponton and J. Galan-Mena",

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month = dec,

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doi = "10.1109/CONIITI.2018.8587070",

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Garcia-Velez, R, Robles-Bykbaev, V, Lopez-Notes, M, Calle-Lopez, D, Barros-Ponton, M & Galan-Mena, J 2018, An Intelligent System Based on Genetic Algorithms to Generate Study Groups Using Personality Traits and Academic Profiles in Higher Education. in CA Lozano-Garzon (ed.), 2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings., 8587070, 2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 4th Innovation and Trends in Engineering Congress, CONIITI 2018, Bogota, Colombia, 3/10/18. https://doi.org/10.1109/CONIITI.2018.8587070

An Intelligent System Based on Genetic Algorithms to Generate Study Groups Using Personality Traits and Academic Profiles in Higher Education. / Garcia-Velez, R.; Robles-Bykbaev, V.; Lopez-Notes, M. et al.
2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings. ed. / Carlos Andres Lozano-Garzon. Institute of Electrical and Electronics Engineers Inc., 2018. 8587070 (2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings).

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

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AU - Garcia-Velez, R.

AU - Robles-Bykbaev, V.

AU - Lopez-Notes, M.

AU - Calle-Lopez, D.

AU - Barros-Ponton, M.

AU - Galan-Mena, J.

PY - 2018/12/21

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Garcia-Velez R, Robles-Bykbaev V, Lopez-Notes M, Calle-Lopez D, Barros-Ponton M, Galan-Mena J. An Intelligent System Based on Genetic Algorithms to Generate Study Groups Using Personality Traits and Academic Profiles in Higher Education. In Lozano-Garzon CA, editor, 2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8587070. (2018 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2018 - Proceedings). doi: 10.1109/CONIITI.2018.8587070

An Intelligent System Based on Genetic Algorithms to Generate Study Groups Using Personality Traits and Academic Profiles in Higher Education

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

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Cite this