Factores que determinan la aceptación de las clases virtuales en los estudiantes de la facultad de ingeniería de la Universidad Nacional de Colombia
ilustraciones, gráficas, tablas
- Autores:
-
Gordo González, Karen Madelaine
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/81513
- Palabra clave:
- 370 - Educación::378 - Educación superior (Educación terciaria)
Motivation in education
Universities and colleges-alumni
Motivación en educación
Estudiantes de educación superior
UTAUT2
Clases virtuales
Factores de aceptación
PLS-SEM
COVID-19
Virtual classes
PLS-SEM
UTAUT2
Aprendizaje en línea
Electronic learning
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional
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dc.title.spa.fl_str_mv |
Factores que determinan la aceptación de las clases virtuales en los estudiantes de la facultad de ingeniería de la Universidad Nacional de Colombia |
dc.title.translated.eng.fl_str_mv |
Determining factors of virtual classes acceptance for Engineering Faculty students of Universidad Nacional de Colombia |
title |
Factores que determinan la aceptación de las clases virtuales en los estudiantes de la facultad de ingeniería de la Universidad Nacional de Colombia |
spellingShingle |
Factores que determinan la aceptación de las clases virtuales en los estudiantes de la facultad de ingeniería de la Universidad Nacional de Colombia 370 - Educación::378 - Educación superior (Educación terciaria) Motivation in education Universities and colleges-alumni Motivación en educación Estudiantes de educación superior UTAUT2 Clases virtuales Factores de aceptación PLS-SEM COVID-19 Virtual classes PLS-SEM UTAUT2 Aprendizaje en línea Electronic learning |
title_short |
Factores que determinan la aceptación de las clases virtuales en los estudiantes de la facultad de ingeniería de la Universidad Nacional de Colombia |
title_full |
Factores que determinan la aceptación de las clases virtuales en los estudiantes de la facultad de ingeniería de la Universidad Nacional de Colombia |
title_fullStr |
Factores que determinan la aceptación de las clases virtuales en los estudiantes de la facultad de ingeniería de la Universidad Nacional de Colombia |
title_full_unstemmed |
Factores que determinan la aceptación de las clases virtuales en los estudiantes de la facultad de ingeniería de la Universidad Nacional de Colombia |
title_sort |
Factores que determinan la aceptación de las clases virtuales en los estudiantes de la facultad de ingeniería de la Universidad Nacional de Colombia |
dc.creator.fl_str_mv |
Gordo González, Karen Madelaine |
dc.contributor.advisor.spa.fl_str_mv |
Peña Reyes, José Ismael |
dc.contributor.author.spa.fl_str_mv |
Gordo González, Karen Madelaine |
dc.subject.ddc.spa.fl_str_mv |
370 - Educación::378 - Educación superior (Educación terciaria) |
topic |
370 - Educación::378 - Educación superior (Educación terciaria) Motivation in education Universities and colleges-alumni Motivación en educación Estudiantes de educación superior UTAUT2 Clases virtuales Factores de aceptación PLS-SEM COVID-19 Virtual classes PLS-SEM UTAUT2 Aprendizaje en línea Electronic learning |
dc.subject.lemb.eng.fl_str_mv |
Motivation in education Universities and colleges-alumni |
dc.subject.lemb.spa.fl_str_mv |
Motivación en educación Estudiantes de educación superior |
dc.subject.proposal.spa.fl_str_mv |
UTAUT2 Clases virtuales Factores de aceptación PLS-SEM COVID-19 |
dc.subject.proposal.eng.fl_str_mv |
Virtual classes PLS-SEM UTAUT2 |
dc.subject.unesco.spa.fl_str_mv |
Aprendizaje en línea |
dc.subject.unesco.eng.fl_str_mv |
Electronic learning |
description |
ilustraciones, gráficas, tablas |
publishDate |
2022 |
dc.date.accessioned.none.fl_str_mv |
2022-06-06T19:14:30Z |
dc.date.available.none.fl_str_mv |
2022-06-06T19:14:30Z |
dc.date.issued.none.fl_str_mv |
2022 |
dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
dc.type.content.spa.fl_str_mv |
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dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
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acceptedVersion |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/81513 |
dc.identifier.instname.spa.fl_str_mv |
Universidad Nacional de Colombia |
dc.identifier.reponame.spa.fl_str_mv |
Repositorio Institucional Universidad Nacional de Colombia |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.unal.edu.co/ |
url |
https://repositorio.unal.edu.co/handle/unal/81513 https://repositorio.unal.edu.co/ |
identifier_str_mv |
Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia |
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Ahmed, A., Zahid, A., Wajid, H., Muhammad, H. R., & Vighio, S. (2019). Extending UTAUT2 toward acceptance of mobile learning in the context of higher education. Universal Access in the Information Society. https://doi.org/10.1007/s10209-019-00685-8 Ajzen, I., & Fishbein, M. (1973). Attitudinal and normative variables as predictors of specific behaviors. 27(1), 41–57. Alomary, A., & Woollard, J. (2015). How is technology accepted by users? A review of technology acceptance models and theories. November, 1–4. Alshehri, A., Rutter, M. J., & Smith, S. (2019). An implementation of the UTAUT model for understanding students’ perceptions of Learning Management Systems: A Study within Tertiary Institutions in Saudi Arabia. International Journal of Distance Education Technologies, 17(3), 1–24. https://doi.org/10.4018/IJDET.2019070101 Al-tarawneh, J. M. (2019). Technology Acceptance Models and Adoption of Innovations: A Literature Review. 9(8), 833–857. https://doi.org/10.29322/IJSRP.9.08.2019.p92116 Arancibia M., M. L., Cabero Almenara, J., & Valdivia Zamorano, I. (2019). Estudio comparativo entre docentes y estudiantes sobre aceptación y uso de tecnologías con fines educativos en el contexto chileno. 11, 104–119. ASCUN. (2021). ASCUN REVELA QUE MATRÍCULAS DEL AÑO 2020 DISMINUYERON, AUNQUE NO TANTO COMO SE PROYECTABA. https://www.ascun.org.co/noticias/detalle/ascun-revela-que-matriculas-del-ano-2020-disminuyeron-aunque-no-tanto-como-se-proyectaba Aydemir, D., & Ulusu, N. N. (2020). Commentary: Challenges for PhD students during COVID-19 pandemic: Turning crisis into an opportunity. Biochemistry and Molecular Biology Education, March, 1–2. https://doi.org/10.1002/bmb.21351 Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. 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A Technology Acceptance Model for Empirically Testing New End-User Information Systems Theory and Results. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace Delone, W. H., & Mclean, E. R. (1992). Information Systems Success: The Quest for the Dependent Variable. 4. Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success : A Ten-Year Update. 19(4), 9–30. Dulloo, R., Mokashi, J., & Puri, M. M. (1992). Exploring Technology Acceptance Theories and Models - A Comparative Analysis. 308–317. Fornell, C., & Larcker, D. F. (2016). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research This, 18(1), 39–50. G. Dada, E., H. Alkali, A., & O. Oyewola, D. (2020). An Investigation into the Effectiveness of Asynchronous and Synchronous E-learning Mode on Students’ Academic Performance in National Open University (NOUN), Maiduguri Centre. International Journal of Modern Education and Computer Science, 11(5), 54–64. https://doi.org/10.5815/ijmecs.2019.05.06 Hair, J., Hult, T., Ringle, C., Sarstedt, M., Danks, N., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. http://www. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8 Icek, A. (1991). The Theory of Planned Behavior Organizational Behavior and Human Decision Processes. Organizational Behavior and Human Decision Processes, 50(2), 179–211. Iordache, D. D., Balog, A., Pribeanu, C., & Lamanauskas, V. (2015). 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Theories Used in IS Research Wiki. http://is.theorizeit.org Lee, P. L., & Pang, V. (2014). The influence of motivational orientations on academic achievement among working adults in continuing education. International Journal of Training Research, 12(1), 5–15. https://doi.org/10.5172/ijtr.2014.12.1.5 Mafraq, H. (2019). Maarefh - Proposed MOOCs ’ Platform for Saudi Arabia ’ s Higher Education Institutions. 77–82. Mahande, R. D., Makassar, U. N., & Malago, J. D. (2016). an E-Learning Acceptance Evaluation Through Utaut Model in. Mehta, A., Morris, N. P., Swinnerton, B., & Homer, M. (2019). Computers & Education The Influence of Values on E-learning Adoption. 141(December 2018). https://doi.org/10.1016/j.compedu.2019.103617 Mineducación. (2020). El programa “Profe en Tu Casa” llega a los territorios a través de siete canales regionales para acompañar el proceso de aprendizaje de los estudiantes y apoyar a sus familias. https://www.mineducacion.gov.co/portal/salaprensa/Noticias/395785:El-programa-Profe-en-Tu-Casa-llega-a-los-territorios-a-traves-de-siete-canales-regionales-para-acompanar-el-proceso-de-aprendizaje-de-los-estudiantes-y-apoyar-a-sus-familias Mingers, J. (2006). Real ising Systems Thinking : Knowledge and Action in Management Science OR and Systems Thinking for Community Development Participatory Policy Design and Governance for a Global Age Minkman, E., Rutten, M. M., Ph, D., Sanden, M. C. A. van der, & Ph, D. (2016). Acceptance of Mobile Technology for Citizen Science in Water Resource Management. 1–9. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001043. Moore, G. C., & Benbasat, I. (1991). Moore and Benbasat.pdf. In Information Systems Research (Vol. 2, pp. 192–222). Morosan, C., & Defranco, A. (2016). 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Using Word Clouds to Present Q Methodology Data and Findings The Preferences of Q Methodologists at the Factor Analytic Stage: An Examination of Practice View project. https://www.researchgate.net/publication/235799664 Rectoría, C. (2020a). COMUNICADO No. 07 A LA COMUNIDAD UNIVERSITARIA. 07, 8–9 Rectoría, C. (2020b). COMUNICADO No. 08 A LA COMUNIDAD UNIVERSITARIA. 08, 2020. Reyes Peña, J. I., & Favier, M. (2006). E-Learning en Comunidades Aisladas . Una aislamiento del aprendiente en E-learning. Avances En Sistemas e Informática, 3(1), 21–27. Ricardo B, C., & Iriarte D, F. (2017). Las TIC en la educación superior. In Universidad del Norte (Vol. 53, Issue 9). https://doi.org/10.1017/CBO9781107415324.004 Rizun, M., & Strzelecki, A. (2020). Students’ acceptance of the covid-19 impact on shifting higher education to distance learning in Poland. International Journal of Environmental Research and Public Health, 17(18), 1–19. https://doi.org/10.3390/ijerph17186468 Rondan Cataluña, F. 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International Journal of Information Management, 46(October 2018), 222–235. https://doi.org/10.1016/j.ijinfomgt.2019.01.008 Tang, Y. M., Chen, P. C., Law, K. M. Y., Wu, C. H., Lau, Y., Guan, J., He, D., & Ho, G. T. S. (2021). Comparative analysis of Student’s live online learning readiness during the coronavirus (COVID-19) pandemic in the higher education sector. Computers & Education, 168(March), 104211. https://doi.org/10.1016/j.compedu.2021.104211 Tarhini, M. E. A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA : Extending the Unified Theory. Educational Technology Research and Development. https://doi.org/10.1007/s11423-016-9508-8 Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. 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Technology Acceptance Model 3 and a Research Agenda on Interventions. 39(2), 273–315. Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model : Four Longitudinal Field Studies. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. 27(3), 425–478. Wang, Y., Wang, Y., & Jian, S. (2019). Investigating the Determinants of Students ’ Intention to Use Business Simulation Games. 2. https://doi.org/10.1177/0735633119865047 Wang, Y., Wang, Y., & Jian, S. (2020). Investigating the Determinants of Students ’ Intention to Use Business Simulation Games. 2. https://doi.org/10.1177/0735633119865047 Webster, J., & Martocchio, J. J. (1992). Microcomputer playfulness: Development of a measure with workplace implications. MIS Quarterly: Management Information Systems, 16(2), 201–224. https://doi.org/10.2307/249576 Xiao, M. (2019). Factors Influencing eSports Viewership : An Approach Based on the Theory of Reasoned Action. 1–31. https://doi.org/10.1177/2167479518819482 Yan, P., Hui, S., Heng, B., Selvachandran, G., Quynh, L., Hoang, A., & Minh, T. (2020). Perception , acceptance and willingness of older adults in Malaysia towards online shopping : a study using the UTAUT and IRT models. Journal of Ambient Intelligence and Humanized Computing, 0123456789. https://doi.org/10.1007/s12652-020-01718-4 Zhihua, L., & Zhaojun, W. (2009). The Application of Maturity Model in the Schools ’ ICT Project. 2009 International Conference on Computational Intelligence and Software Engineering, 1–4. https://doi.org/10.1109/CISE.2009.5366438 Zwain, A. (2020). Investigating Determinants of Faculty and Students ’ Acceptance of E-Learning Management Systems using UTAUT2. January. |
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Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Peña Reyes, José Ismael7814a1559529ee5f893669dc96def9df600Gordo González, Karen Madelainefcc41190a04cb41f1504ed08a82c17072022-06-06T19:14:30Z2022-06-06T19:14:30Z2022https://repositorio.unal.edu.co/handle/unal/81513Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, gráficas, tablasLa importancia que se le ha dado a las tecnologías de la información y las comunicaciones (TIC) en el sector educativo ha venido creciendo considerablemente. Cada vez más se pueden apreciar diferentes mecanismos tecnológicos enfocados a dar mejor soporte a los procesos de enseñanza y aprendizaje. Las clases virtuales hacen parte de dichos mecanismos tecnológicos y debido a la crisis de salud que surgió en el año 2020 por el virus SARS-COVD-2 y las estrategias para prevenir el contagio como el confinamiento obligatorio, la mayoría de las instituciones educativas optaron por esta modalidad con el fin de que los estudiantes siguieran recibiendo clases apropiada y oportunamente. Teniendo en cuenta esta situación, este trabajo se enfocó en identificar, por medio de la teoría UTAUT2, los factores que determinan la aceptación tecnológica de las clases virtuales para los estudiantes de ingeniería de la Universidad Nacional de Colombia. Para lograrlo, se usó una encuesta en línea que respondieron un total de 174 estudiantes, y los datos fueron analizados bajo el procedimiento de PLS-SEM, donde se observó que el factor determinante de aceptación de las clases virtuales es la motivación hedónica. (Texto tomado de la fuente).Information and Communication Technologies (ICTs) has grown exponentially in the past years in educational institutions. Different types of technology have focused on giving better support to the teaching and learning process. Virtual online classes are a type of these technologies and has been adopted by higher educational institutions around the world because the COVID-19 pandemic. Most institutions had to adjust its teaching processes inclass learning to online, in order to mitigate the spread of the virus and continue with the academic year. This study aims at identifying the determining factors of virtual classes acceptance for Engineering Faculty Students of Universidad Nacional de Colombia, using the unified theory of acceptance and use of technology extended (UTAUT2). Using an online survey, a total of 174 students enrolled in different programs of the engineering Faculty responded. The data was analyzed using the PLS-SEM procedure, which helped to observe that the main factor of virtual classes acceptance is the hedonic motivation.Incluye anexosMaestríaMagíster en Ingeniería - Ingeniería de Sistemas y ComputaciónUso de los sistemas de informaciónxvii, 129 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y ComputaciónDepartamento de Ingeniería de Sistemas e IndustrialFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá370 - Educación::378 - Educación superior (Educación terciaria)Motivation in educationUniversities and colleges-alumniMotivación en educaciónEstudiantes de educación superiorUTAUT2Clases virtualesFactores de aceptaciónPLS-SEMCOVID-19Virtual classesPLS-SEMUTAUT2Aprendizaje en líneaElectronic learningFactores que determinan la aceptación de las clases virtuales en los estudiantes de la facultad de ingeniería de la Universidad Nacional de ColombiaDetermining factors of virtual classes acceptance for Engineering Faculty students of Universidad Nacional de ColombiaTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMColombiaAhmed, A., Zahid, A., Wajid, H., Muhammad, H. 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January.InvestigadoresMaestrosPadres y familiasPersonal de apoyo escolarPúblico generalORIGINAL53011672.2022.pdf53011672.2022.pdfTesis de Maestría en Ingeniería de Sistemas y Computaciónapplication/pdf2480224https://repositorio.unal.edu.co/bitstream/unal/81513/1/53011672.2022.pdf1e51f6cc58b8ccf1cb522d1659fb2a3eMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-84074https://repositorio.unal.edu.co/bitstream/unal/81513/2/license.txt8153f7789df02f0a4c9e079953658ab2MD52THUMBNAIL53011672.2022.pdf.jpg53011672.2022.pdf.jpgGenerated Thumbnailimage/jpeg5156https://repositorio.unal.edu.co/bitstream/unal/81513/3/53011672.2022.pdf.jpgf7ab675800523208b13edd7ba3c1c570MD53unal/81513oai:repositorio.unal.edu.co:unal/815132024-08-06 23:10:00.723Repositorio Institucional Universidad Nacional de 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