Factors associated with learning physics in the elderly

The research aims to identify the factors associated with learning physics in older students. A quantitative investigation is carried out with a field-type factorial analysis method, correlational in a sample of 80 physics students, university students over 30 years of age, who apply science, techno...

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Autores:
Marino Diaz, Javier
Rojas Suárez, Jhan Piero
Vergel Ortega, Mawency
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Universidad Francisco de Paula Santander
Repositorio:
Repositorio Digital UFPS
Idioma:
eng
OAI Identifier:
oai:repositorio.ufps.edu.co:ufps/1074
Acceso en línea:
http://repositorio.ufps.edu.co/handle/ufps/1074
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License
Atribución 4.0 Internacional (CC BY 4.0)
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dc.title.eng.fl_str_mv Factors associated with learning physics in the elderly
title Factors associated with learning physics in the elderly
spellingShingle Factors associated with learning physics in the elderly
title_short Factors associated with learning physics in the elderly
title_full Factors associated with learning physics in the elderly
title_fullStr Factors associated with learning physics in the elderly
title_full_unstemmed Factors associated with learning physics in the elderly
title_sort Factors associated with learning physics in the elderly
dc.creator.fl_str_mv Marino Diaz, Javier
Rojas Suárez, Jhan Piero
Vergel Ortega, Mawency
dc.contributor.author.none.fl_str_mv Marino Diaz, Javier
Rojas Suárez, Jhan Piero
Vergel Ortega, Mawency
description The research aims to identify the factors associated with learning physics in older students. A quantitative investigation is carried out with a field-type factorial analysis method, correlational in a sample of 80 physics students, university students over 30 years of age, who apply science, technology, art and physics through designs and simulations in vector fields, perceptual geo-materializations and electrical physics. The research used as a technique the metacognitive skills inventory test (α = 0.82), the educational motivation scale (α = 0.71), the Tennessee self-concept scale (α = 0.725), the psychological well-being scale adult (α = 0.75) and the social skills scale (α = 0.801). The results show that variables associated with the learning of physics in elderly were the extrinsic motivation index, the motivation intrinsic and demotivating; the active, reflective, theoretical and pragmatic learning style; performance variables, level of learning, spatial reasoning and sensitivity. The results obtained indicate an acceptable fit in the proposed model (X2 = 652.55/gl = 3.05), GFI (goodness of fit index) = 0.894, AGFI (corrected goodness of fit index) = 0.848, RMSEA (mean square approximation error) = 0.09, IFI (incremental adjustment index) = 0.930. The explained variance is 31.9% regarding learning style, 38.8% regarding motivation and 15.1% regarding cognitive score and 15.1% regarding consciousness deficit. It is concluded that the predictive factors of learning of physics in older adults were learning style, motivation indices, cognitive score and consciousness deficit.
publishDate 2020
dc.date.issued.none.fl_str_mv 2020-12-05
dc.date.accessioned.none.fl_str_mv 2021-11-18T13:57:05Z
dc.date.available.none.fl_str_mv 2021-11-18T13:57:05Z
dc.type.spa.fl_str_mv Artículo de revista
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identifier_str_mv 10.1088/1742-6596/1708/1/012031
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Journal of Physics: Conference Series
dc.relation.citationedition.spa.fl_str_mv Vol.1708 No.1.(2020)
dc.relation.citationendpage.spa.fl_str_mv 8
dc.relation.citationissue.spa.fl_str_mv 1 (2020)
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dc.relation.citationvolume.spa.fl_str_mv 1708
dc.relation.cites.none.fl_str_mv Mariño, J. A., Rojas-Suarez, J., & Vergel-Ortega, M. (2020, December). Factors associated with learning physics in the elderly. In Journal of Physics: Conference Series (Vol. 1708, No. 1, p. 012031). IOP Publishing.
dc.relation.ispartofjournal.spa.fl_str_mv Journal of Physics: Conference Series
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institution Universidad Francisco de Paula Santander
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spelling Marino Diaz, Javierc1637fb5d1dfe4c2ef900132f3dbf3c2Rojas Suárez, Jhan Piero96cb752d974d2a7f4f66513af6ebbf8d600Vergel Ortega, Mawencye1db451514df4d6eb054b4e8e3bf1e426002021-11-18T13:57:05Z2021-11-18T13:57:05Z2020-12-05http://repositorio.ufps.edu.co/handle/ufps/107410.1088/1742-6596/1708/1/012031The research aims to identify the factors associated with learning physics in older students. A quantitative investigation is carried out with a field-type factorial analysis method, correlational in a sample of 80 physics students, university students over 30 years of age, who apply science, technology, art and physics through designs and simulations in vector fields, perceptual geo-materializations and electrical physics. The research used as a technique the metacognitive skills inventory test (α = 0.82), the educational motivation scale (α = 0.71), the Tennessee self-concept scale (α = 0.725), the psychological well-being scale adult (α = 0.75) and the social skills scale (α = 0.801). The results show that variables associated with the learning of physics in elderly were the extrinsic motivation index, the motivation intrinsic and demotivating; the active, reflective, theoretical and pragmatic learning style; performance variables, level of learning, spatial reasoning and sensitivity. The results obtained indicate an acceptable fit in the proposed model (X2 = 652.55/gl = 3.05), GFI (goodness of fit index) = 0.894, AGFI (corrected goodness of fit index) = 0.848, RMSEA (mean square approximation error) = 0.09, IFI (incremental adjustment index) = 0.930. The explained variance is 31.9% regarding learning style, 38.8% regarding motivation and 15.1% regarding cognitive score and 15.1% regarding consciousness deficit. It is concluded that the predictive factors of learning of physics in older adults were learning style, motivation indices, cognitive score and consciousness deficit.application/pdfengJournal of Physics: Conference SeriesJournal of Physics: Conference SeriesVol.1708 No.1.(2020)81 (2020)11708Mariño, J. A., Rojas-Suarez, J., & Vergel-Ortega, M. (2020, December). Factors associated with learning physics in the elderly. In Journal of Physics: Conference Series (Vol. 1708, No. 1, p. 012031). IOP Publishing.Journal of Physics: Conference SeriesContent from this work may be used under the terms of the Creative 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 Ltinfo:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://iopscience.iop.org/article/10.1088/1742-6596/1708/1/012031/metaFactors associated with learning physics in the elderlyArtículo 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_970fb48d4fbd8a85Maldonado H, Rojas J P and Vergel M 2020 Innovación y Creatividad: Estrategia Pedagógica en la Enseñabilidad del Cálculo Aplicado a la Física Electromagnética (Bogotá: Ecoe Ediciones)Albán J, Beltrán G, Zumba I, Piza N, Franco X and Figueroa M 2018 Motivación educativa en estudiantes de educación superior Revista Dilemas Contemporáneos 6 2Carranza R, Hernández R and Alhuay J 2017 Bienestar psicológico y rendimiento en estudiantes de pregrado de psicología Revista Internacional de Investigación en Ciencias Sociales 13 2Chong E 2017 Factores que inciden en el rendimiento académico de estudiantes de la Universidad Politécnica del Valle de Toluca Revista Latinoamericana de Estudios Educativos 47 1Vizcaíno D 2015 ¿Qué es Didáctica de la Física? (Medellín: Universidad de Antioquia)Alegret M, Espinosa A and Vinyes-Junqué G 2013 Cut-off scores of a brief neuropsychological battery (NBACE) for Spanish individual adults older than 44 years old PLOS ONE 8 1García C 2005 Habilidades sociales, clima social familiar y rendimiento académico en estudiantes universitarios Revista Liberabit 11 11Gardner H 1994 Estructuras de la Mente (México: Fondo de Cultura económica)Díaz L 2002 Estadística Multivariada: Inferencia (Bogotá: Universidad Nacional de Colombia)González C, Caso J, Díaz K and López M 2012 Rendimiento académico y factores asociados. Aportaciones de algunas evaluaciones a gran escala Revista de Pedagogía Bordón 64 2Parra H, Suarez J and Vergel M 2019 Curricular trends in the University Francisco de Paula Santander academic program offerings Journal of Physics: Conference Series 1329 012013:1Huertas A, Vesga G and Galindo M 2014 Validación del instrumento inventario de habilidades metacognitivas (MAI) con estudiantes colombianos Revista Praxis & Saber 5 10Valle A, González R, Núñez J and González J 1998 Variables cognitivomotivacionales, enfoques de aprendizaje y rendimiento académico Revista Psicothema 10 2Martinez M 1991 Analisis de escalas acumulativas: modelo de Mokken Phycotema 3 1Zepeda S, Abascal R and López E 2015 Emociones: Factor de cambio en el aprendizaje Revista Ra Ximhai 11 4Bastian V and Nettelbeck T 2005 Emotional intelligence predicts life skills, but not as well as personality and cognitive abilities Personality and Individual Differences 39 1135Gohm C 2002 Affect as Information: An Individual Differences Approach. The Wisdom in Feeling Psychological Processes in Emotional Intelligence (New York: Guildford)Joseph D and Newman D 2010 Emotional intelligence. 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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.
0000-0003-2682-988096cb752d974d2a7f4f66513af6ebbf8d6000000-0001-8285-2968e1db451514df4d6eb054b4e8e3bf1e42600