Multiple intelligences and academic performance in basic education students: An analysis of main components

This research included a sample of students aged between 8 and 16 years, residents of San José de Cúcuta city, Colombia, belonging to socio-economic strata 1 and 2. Multiple intelligences (musical, logical-mathematical, interpersonal, naturalistic, intrapersonal, kinesthetic, linguistic and spatial)...

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Autores:
HERNANDEZ SUAREZ, CESAR AUGUSTO
Prada Nuñez, Raul
Rincon Alvarez, Gerson Adriano
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
Repositorio:
Repositorio Digital UFPS
Idioma:
eng
OAI Identifier:
oai:repositorio.ufps.edu.co:ufps/1332
Acceso en línea:
http://repositorio.ufps.edu.co/handle/ufps/1332
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Atribución 4.0 Internacional (CC BY 4.0)
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dc.title.eng.fl_str_mv Multiple intelligences and academic performance in basic education students: An analysis of main components
title Multiple intelligences and academic performance in basic education students: An analysis of main components
spellingShingle Multiple intelligences and academic performance in basic education students: An analysis of main components
title_short Multiple intelligences and academic performance in basic education students: An analysis of main components
title_full Multiple intelligences and academic performance in basic education students: An analysis of main components
title_fullStr Multiple intelligences and academic performance in basic education students: An analysis of main components
title_full_unstemmed Multiple intelligences and academic performance in basic education students: An analysis of main components
title_sort Multiple intelligences and academic performance in basic education students: An analysis of main components
dc.creator.fl_str_mv HERNANDEZ SUAREZ, CESAR AUGUSTO
Prada Nuñez, Raul
Rincon Alvarez, Gerson Adriano
dc.contributor.author.none.fl_str_mv HERNANDEZ SUAREZ, CESAR AUGUSTO
Prada Nuñez, Raul
Rincon Alvarez, Gerson Adriano
description This research included a sample of students aged between 8 and 16 years, residents of San José de Cúcuta city, Colombia, belonging to socio-economic strata 1 and 2. Multiple intelligences (musical, logical-mathematical, interpersonal, naturalistic, intrapersonal, kinesthetic, linguistic and spatial) were measured according to the proposal by Gardner and school performance as an average of each subject taken during the first two cuts of the school year. The authors applied a principal components analysis with the purpose of characterizing and analyzing these students according to multiple intelligences, academic performance and their relationships. The sample consisted of 60 girls and 61 boys whose average age was 12 years (95% CI: 11.7 – 12.4 years). In the logical-mathematical intelligence was where the students obtained the highest average score, while in musical intelligence the lowest. In the rest of the cognitive capacities they reached similar averages. In relation to the subjects that this group of students studied, the best average grades were in behaviour, religion and physical education and the lowest in English. Through the principal components analysis it was observed that there is no evident association between the types of intelligences and the grades in the school subjects. Girls, in general, achieved better average scores in all subjects compared to their male counterparts (p < 0.05). Except for naturalistic intelligence, males show a greater development in the rest of the intelligences, in contrast to the girls who have higher scores in naturalistic intelligence.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019-11-19
dc.date.accessioned.none.fl_str_mv 2021-11-24T02:54:03Z
dc.date.available.none.fl_str_mv 2021-11-24T02:54:03Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.uri.none.fl_str_mv http://repositorio.ufps.edu.co/handle/ufps/1332
dc.identifier.doi.none.fl_str_mv 10.1088/1742-6596/1388/1/012047
url http://repositorio.ufps.edu.co/handle/ufps/1332
identifier_str_mv 10.1088/1742-6596/1388/1/012047
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Journal of Physics: Conference Series ISSN: 1742-6596, 2019 vol:1388 fasc: 1 págs: 1 - 7
dc.relation.citationedition.spa.fl_str_mv Vol. 1388, 012047 (2020)
dc.relation.citationendpage.spa.fl_str_mv 7
dc.relation.citationstartpage.spa.fl_str_mv 1
dc.relation.citationvolume.spa.fl_str_mv 1388
dc.relation.cites.none.fl_str_mv Hernández, C. A., Prada, R. y Rincón, G. A. (2019). Multiple intelligences and academic performance in basic education students: An analysis of main components. Journal of Physics: Conference Series, 1388, Artículo 012047. https://doi.org/10.1088/1742-6596/1388/1/012047
dc.relation.ispartofjournal.spa.fl_str_mv Journal of Physics: Conference Series
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eu_rights_str_mv openAccess
rights_invalid_str_mv Atribución 4.0 Internacional (CC BY 4.0)
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dc.format.extent.spa.fl_str_mv 7 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Journal of Physics: Conference Series
dc.publisher.place.spa.fl_str_mv Reino Unido
dc.source.spa.fl_str_mv https://iopscience.iop.org/article/10.1088/1742-6596/1388/1/012047
institution UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
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spelling HERNANDEZ SUAREZ, CESAR AUGUSTOe68aa9e1677f4d5e4b155d813077e750600Prada Nuñez, Raul4041bc014f9b5efbfb51661f6e33594b600Rincon Alvarez, Gerson Adriano93e530897d33e86f67b62b6ad5c8fb1c6002021-11-24T02:54:03Z2021-11-24T02:54:03Z2019-11-19http://repositorio.ufps.edu.co/handle/ufps/133210.1088/1742-6596/1388/1/012047This research included a sample of students aged between 8 and 16 years, residents of San José de Cúcuta city, Colombia, belonging to socio-economic strata 1 and 2. Multiple intelligences (musical, logical-mathematical, interpersonal, naturalistic, intrapersonal, kinesthetic, linguistic and spatial) were measured according to the proposal by Gardner and school performance as an average of each subject taken during the first two cuts of the school year. The authors applied a principal components analysis with the purpose of characterizing and analyzing these students according to multiple intelligences, academic performance and their relationships. The sample consisted of 60 girls and 61 boys whose average age was 12 years (95% CI: 11.7 – 12.4 years). In the logical-mathematical intelligence was where the students obtained the highest average score, while in musical intelligence the lowest. In the rest of the cognitive capacities they reached similar averages. In relation to the subjects that this group of students studied, the best average grades were in behaviour, religion and physical education and the lowest in English. Through the principal components analysis it was observed that there is no evident association between the types of intelligences and the grades in the school subjects. Girls, in general, achieved better average scores in all subjects compared to their male counterparts (p < 0.05). Except for naturalistic intelligence, males show a greater development in the rest of the intelligences, in contrast to the girls who have higher scores in naturalistic intelligence.7 páginasapplication/pdfengJournal of Physics: Conference SeriesReino UnidoJournal of Physics: Conference Series ISSN: 1742-6596, 2019 vol:1388 fasc: 1 págs: 1 - 7Vol. 1388, 012047 (2020)711388Hernández, C. A., Prada, R. y Rincón, G. A. (2019). Multiple intelligences and academic performance in basic education students: An analysis of main components. Journal of Physics: Conference Series, 1388, Artículo 012047. https://doi.org/10.1088/1742-6596/1388/1/012047Journal of Physics: Conference SeriesContent from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltdinfo:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://iopscience.iop.org/article/10.1088/1742-6596/1388/1/012047Multiple intelligences and academic performance in basic education students: An analysis of main componentsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Gardner H 1983 Estructuras de la mente: La teoría de las múltiples inteligencias (México: Fondo de Cultura Económica)Garbanzo G 2007 Factores asociados al rendimiento académico en estudiantes universitarios, una reflexión desde la calidad de la educación superior pública Revista Educación 31 43-63Ferragut M, Fierro A 2012 Inteligencia emocional, bienestar personal y rendimiento académico en preadolescentes Revista Latinoamericana de Psicología 44 95-104Maureira F, Méndez M, Soto C 2014 Inteligencias múltiples en estudiantes de educación física de la USEK de Chile Revista de Ciencias de la Actividad Física 15 53-62González G, Cardozo R, Romano E, Morillo G 2012 Inteligencias múltiples en estudiantes de primer año de medicina de una universidad venezolana Academia Biomédica Digital 51 1-8Jiménez E, Mattza I, Villegas J y Sánchez T 2009 Las inteligencias múltiples, los estilos de aprendizaje y el nivel de rendimiento Investigación Educativa 13 9-19Aliaga J, Ponce C, Bulnes M, Elizalde R, Montgomery W, Gutiérrez V, Delgado E, Perea J, Torchiani G 2012 Las inteligencias múltiples: evaluación y relación con el rendimiento en matemática en estudiantes del quinto año de secundaria de Lima Metropolitana Revista de Investigación en Psicología 15 163-202Barraza R, González M 2016 Rendimiento académico y autopercepción de inteligencias múltiples e inteligencia emocional en universitarios de primera generación Actualidades Investigativas en Educación 16 1-23Rodríguez U, Suárez Y 2012 Relación entre inteligencia emocional, depresión y rendimiento académico en estudiantes de psicología Psicogente 15 348-359Jhonson R, Wichern 2007 Applied multivariate statistical analysis (New Jersey: Pearson Prentice Hall)Lebart L, Morineau A, Warwick K 1984 Multivariate descriptive statistical analysis: Correspondence analysis and related techniques for large matrices (New Jersey: John Wiley & Sons)Aluja T, Moreneau A 1999 Aprender de los datos: El análisis de componentes principales. 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
0000-0002-7974-5560e68aa9e1677f4d5e4b155d813077e7506000000-0001-6145-17864041bc014f9b5efbfb51661f6e33594b600