An intelligent system based on genetic algorithms to generate study groups using personality traits and academic profiles in higher education

BibTex:
Áreas de investigación:	Sin categoría	Año:	2018
Tipo de publicación:	Artículo en conferencia	Palabras clave:	genetic algorithms; higher education
Autores:	Roberto Agustín García Vélez, 8 16

Título del libro:	IV Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI)

Dirección:	Bogotá, Colombia
Organización:	IEEE	Mes:	Octubre


@conference{Roberto Agustín García Vélez20182, author = "Roberto Agust{\'i}n Garc{\'i}a V{\'e}lez,16,8,Daniel Calle L{\'o}pez,Mar{\'i}a Eugenia Barros Pont{\'o}n,Jorge Gal{\'a}n Mena", 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 col- lective 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.", address = "Bogot{\'a}, Colombia", booktitle = "IV Congreso Internacional de Innovaci{\'o}n y Tendencias en Ingenier{\'i}a (CONIITI)", keywords = "genetic algorithms; higher education", month = "oct", organization = "IEEE", publisher = "IEEE", title = "{A}n intelligent system based on genetic algorithms to generate study groups using personality traits and academic profiles in higher education", year = "2018", }
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 col- lective 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.
Descargar: CONIITI_2018_paper_121.pdf

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