Apertura
Utilidad, motivación y gamificación en la adopción de MOOCs para la capacitación docente
Resumen
Esta investigación valida una propuesta teórica que integra el Modelo de Aceptación Tecnológica, el Modelo de Éxito de Sistemas de Información y la Teoría Unificada de Aceptación y Uso de Tecnologías, incorporando variables adicionales como la confianza y la gamificación. El objetivo fue analizar los factores que influyen en el uso de cursos en línea masivos y abiertos (MOOCs) para la capacitación del personal educativo en Tamaulipas, México. Se recolectaron 470 encuestas y se utilizó la técnica de modelado de ecuaciones estructurales por mínimos cuadrados parciales para evaluar el modelo propuesto. Los resultados demostraron que la utilidad percibida, la motivación hedónica y la gamificación tienen un impacto significativo en el uso de los MOOCs, destacando la importancia de ofrecer cursos que sean funcionales, atractivos y socialmente integrados. Desde una perspectiva teórica, el modelo de investigación demuestra la viabilidad de medir la calidad de los MOOCs de manera integrada, contribuyendo a la literatura sobre calidad y aceptación tecnológica. A nivel práctico, los resultados sugieren prácticas que se pueden aplicar para el diseño de cursos efectivos, enfocados en la calidad, el disfrute, el compromiso, fortaleciendo así las competencias del personal educativo y promoviendo la formación continua para una educación de mayor calidad
Palabras clave
Referencias
Ahmad, S., Bhatti, S., & Hwang, Y. (2020). E-service quality and actual use of e-banking: Explanation through the Technology Acceptance Model. Information Development, 36(4), 503-519. doi:https://doi.org/10.1177/0266666919871611
Alalwan, A., Dwivedi, Y., & Rana, N. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110. doi:https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Al-Azawei, A., & Alowayr, A. (2020). Predicting the intention to use and hedonic motivation for mobile learning: A comparative study in two Middle Eastern countries. Technology in Society, 62, 101325. doi:https://doi.org/10.1016/j.techsoc.2020.101325
Albashrawi, M., & Motiwalla, L. (2020). An integrative framework on mobile banking success. Information Systems Management, 37(1), 16-32. doi:https://doi.org/10.1080/10580530.2020.1696530
Aldholay, A., Abdullah, Z., Isaac, O., & Mutahar, , A. (2020). Perspective of Yemeni students on use of online learning: Extending the information systems success model with transformational leadership and compatibility. Information Technology & People, 33(1), 106-128. doi:https://doi.org/10.1108/itp-02-2018-0095
AlHamad, M., Akour, I., Alshurideh, M., Al-Hamad, A., Kurdi, B., & Alzoubi, H. (2021). Predicting the intention to use google glass: A comparative approach using machine learning models and PLS-SEM. International Journal of Data and Network Science, 5(3), 311-320. doi:https://doi.org/10.5267/j.ijdns.2021.6.002
Alrwashdeh, M., Jahmani, A., Ibrahim, B., & Aljuhmani, H. (2020). Data to model the effects of perceived telecommunication service quality and value on the degree of user satisfaction and e-WOM among telecommunications users in North Cyprus. Data in brief, 28, 104981. doi:https://doi.org/10.1016/j.dib.2019.104981
Alshurideh, M., Salloum, S., Al Kurdi, B., Monem, A., & Shaalan, K. (2019). Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study. International Journal of Interactive Mobile Technologies, 13(11), 157-183. doi:https://doi.org/10.3991/ijim.v13i11.10300
Alyoussef, I. Y. (2023). Acceptance of e-learning in higher education: The role of task-technology fit with the information systems success model. Heliyon, 9(3), e13751. https://doi.org/10.1016/j.heliyon.2023.e13751
Alyoussef, I. (2022). Acceptance of a flipped classroom to improve university students’ learning: An empirical study on the TAM model and the unified theory of acceptance and use of technology (UTAUT). Heliyon, 8(12), e12529. doi:https://doi.org/10.1016/j.heliyon.2022.e12529
Ameen, A., Al-Ali, D., Mohammed, F., Isaac, O., Alrajawy, I., & Younis, D. (2021). The moderation effect of innovativeness on the relationship between overall quality and actual usage of smart government. Journal of System and Management Sciences, 11(1), 141-154. doi:https://doi.org/10.33168/jsms.2021.0109
Aparicio, M., Costa, C., & Moises, R. (2021). Gamification and reputation: key determinants of e-commerce usage and repurchase intention. Heliyon, 7(3), e06383. doi:https://doi.org/10.1016/j.heliyon.2021.e06383
Aparicio, M., Oliveira, T., Bacao, F., & Painho, M. (2019). Gamification: A key determinant of massive open online course (MOOC) success. Information & Management, 56(1), 39-54. doi:https://doi.org/10.1016/j.im.2018.06.003
Arfi, W., Nasr, I., Kondrateva, G., & Hikkerova, L. (2021). The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context. Technological Forecasting and Social Change, 167, 120688. doi:https://doi.org/10.1016/j.techfore.2021.120688
Çera, G., Pagria, I., Khan, K., & Muaremi, L. (2020). Mobile banking usage and gamification: the moderating effect of generational cohorts. Journal of Systems and Information Technology, 22(3), 243-263. doi:https://doi.org/10.1108/jsit-01-2020-0005
Cha, S. (2020). Customers’ intention to use robot-serviced restaurants in Korea: relationship of coolness and MCI factors. International Journal of Contemporary Hospitality Management., 32(9), 2947–2968. doi:https://doi.org/10.1108/ijchm-01-2020-0046
Chen, C., & Tsai, J. (2019). Determinants of behavioral intention to use the Personalized Location-based Mobile Tourism Application: An empirical study by integrating TAM with ISSM. Future Generation Computer Systems, 96, 628-638. doi:https://doi.org/10.1016/j.future.2017.02.028
Chin, W. (2009). How to Write Up and Report PLS Analyses. Handbook of Partial Least Squares, 655–690. https://doi.org/10.1007/978-3-540-32827-8_29
Davis, F. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Doctoral Dissertation, Massachusetts Institute of Technology.
DeLone, W., & McLean, E. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30. doi:https://doi.org/10.1080/07421222.2003.11045748
Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: defining" gamification". Proceedings of the 15th international academic MindTrek conference: Envisioning future media environments (págs. 9-15). New York, NY: ACM Press. doi:https://doi.org/10.1145/2181037.2181040
Dhahak, K., & Huseynov, F. (2020). The Influence of Gamification on Online Consumers' Attitude and Intention to Purchase Fast Moving Consumer Goods. Business & Economics Research Journal, 11(3), 769-791. doi:https://doi.org/10.20409/berj.2020.281
Gu, W., Xu, Y., & Sun, Z. (2021). Does MOOC quality affect users’ continuance intention? Based on an integrated model. Sustainability, 13(22), 12536. doi:https://doi.org/10.3390/su132212536
Gupta, P., Prashar, S., Vijay, T., & Parsad, C. (2021). Examining the influence of antecedents of continuous intention to use an informational app: the role of perceived usefulness and perceived ease of use. International Journal of Business Information Systems, 36(2), 270-287. doi:https://doi.org/10.1504/ijbis.2021.112829
Hair, J., Hult, G., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd Edition. Thousand Oaks, CA.: Sage Publications Inc.
Hair, J., Sarstedt, M., Ringle, C., & Gudergan, S. (2023). Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Inc.
Henseler, J., Ringle, C., & 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. doi:https:// 10.1007/s11747-014-0403-8
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. New Challenges to International Marketing, 277–319. https://doi.org/10.1108/s1474-7979(2009)0000020014
Hubert, M., Blut, M., Brock, C., Backhaus, C., & Eberhardt, T. (2017). Acceptance of smartphone‐based mobile shopping: Mobile benefits, customer characteristics, perceived risks, and the impact of application context. Psychology & Marketing, 34(2), 175-194. doi:https://doi.org/10.1002/mar.20982
Izkair, A., & Lakulu, M. (2023). Model of intention and actual use mobile learning in higher education institutions in Iraq. Indonesian Journal of Electrical Engineering and Computer Science, 30(2), 1250. doi:https://doi.org/10.11591/ijeecs.v30.i2.pp1250-1258
Kanaan, A., AL-Hawamleh, A., Abulfaraj, A., Al-Kaseasbeh, H., & Alorfi, A. (2023). The effect of quality, security and privacy factors on trust and intention to use e-government services. International Journal of Data and Network Science, 7(1), 185-198. doi:https://doi.org/10.5267/j.ijdns.2022.11.004
Lambert, S. (2020). Do MOOCs contribute to student equity and social inclusion? A systematic review 2014–18. Computers & Education, 145, 103693. doi:https://doi.org/10.1016/j.compedu.2019.103693
Mariani, M., Styven, M., & Teulon, F. (2021). Explaining the intention to use digital personal data stores: An empirical study. Technological Forecasting and Social Change, 166, 120657. doi:https://doi.org/10.1016/j.techfore.2021.120657
Martins, J., Branco, F., Gonçalves, R., Au-Yong-Oliveira, M., Oliveira, T., Naranjo-Zolotov, M., & Cruz-Jesus, F. (2019). Assessing the success behind the use of education management information systems in higher education. Telematics and Informatics, 38, 182-193. doi:https://doi.org/10.1016/j.tele.2018.10.001
Martono, S., Nurkhin, A., Mukhibad, H., Anisykurlillah, I., & Wolor, C. (2020). Understanding the employee’s intention to use information system: Technology acceptance model and information system success model approach. The Journal of Asian Finance, Economics and Business, 7(10), 1007-1013. doi:https://doi.org/10.13106/jafeb.2020.vol7.no10.1007
Mesuwini, J., & Mokoena, S. (2024). Exploring Online Teaching and Learning Challenges for the Technical and Vocational Education and Training Lecturer. Journal of Education and e-Learning Research, 11(1), 193-202. https://doi.org/10.20448/jeelr.v11i1.5423
Rakhmawati, H., & Rusydi, M. (2020). Influence of TAM and UTAUT models of the use of e-filing on tax compliance. International Journal of Research in Business and Social Science, 9(1), 106-111. doi:https://doi.org/10.20525/ijrbs.v9i1.576
Rezvani, S., Heidari, S., Roustapisheh, N., & Dokhanian, S. (2022). The effectiveness of system quality, habit, and effort expectation on library application use intention: the mediating role of perceived usefulness, perceived ease of use, and user satisfaction. . International Journal of Business Information Systems, 1(1), 1-18. doi:https://doi.org/10.1504/ijbis.2022.10049515
Ringle, Christian, M., Wende, Sven, & Becker, J.-M. (2024). SmartPLS 4. Bönningstedt: SmartPLS. Obtenido de https://www.smartpls.com
Rosa-Castillo, A., García-Pañella, O., Maestre-Gonzalez, E., Pulpón-Segura, A., Roselló-Novella, A., & Solà-Pola, M. (2022). Gamification on Instagram: Nursing students' degree of satisfaction with and perception of learning in an educational game. Nurse Education Today, 118, 105533. doi:https://doi.org/10.1016/j.nedt.2022.105533
Salloum, S., Alhamad, A., Al-Emran, M., Monem, A., & Shaalan, K. (2019). Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model. IEEE Access, 7, 128445–128462. doi:https://doi.org/10.1109/access.2019.2939467
Sarabadani, J., Jafarzadeh, H., & ShamiZanjani, M. (2017). Towards understanding the determinants of employees' E-learning adoption in workplace: a unified theory of acceptance and use of technology (UTAUT) View. International Journal of Enterprise Information Systems (IJEIS), 13(1), 38-49. doi:https://doi.org/10.4018/ijeis.2017010103
Sarkar, S., Chauhan, S., & Khare, A. (2020). A meta-analysis of antecedents and consequences of trust in mobile commerce . International Journal of Information Management, 286-301. doi:https://doi.org/10.1016/j.ijinfomgt.2019.08.008
Sarstedt, M., Hair Jr, J., Cheah, J., Becker, J., & Ringle, C. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197-211. doi:https://doi.org/10.1016/j.ausmj.2019.05.003
Schettino, G., & Capone, V. (2022). Learning design strategies in MOOCs for physicians’ training: a scoping review. International journal of environmental research and public health, 19(21), 14247. doi:https://doi.org/10.3390/ijerph192114247
SEP. (2024). Principales cifras del sistema educativo nacional 2023-2024. https://www.planeacion.sep.gob.mx/Doc/estadistica_e_indicadores/principales_cifras/principales_cifras_2023_2024_bolsillo.pdf
Shahzad, K., Zhang, Q., & Khan, M. (2024). Blockchain technology adoption in supply chain management: an investigation from UTAUT and information system success model. International Journal of Shipping and Transport Logistics, 18(2), 165-190. doi:https://doi.org/10.1504/ijstl.2024.137893
Silic, M., & Ruf, C. (2018). The effects of the elaboration likelihood model on initial trust formation in financial advisory services. International Journal of Bank Marketing, 36(3), 572–590. doi:https://doi.org/10.1108/IJBM-02-2017-0038.
To, A., & Trinh, T. (2021). Understanding behavioral intention to use mobile wallets in vietnam: Extending the tam model with trust and enjoyment. Cogent Business & Management, 8(1), 1-14. doi:https://doi.org/10.1080/23311975.2021.1891661
Ucha, C. (2023). Role of course relevance and course content quality in MOOCs acceptance and use. Computers and Education Open, 5, 100147. doi:https://doi.org/10.1016/j.caeo.2023.100147
Usman, H., Mulia, D., Chairy, C., & Widowati, N. (2022). Integrating trust, religiosity and image into technology acceptance model: the case of the Islamic philanthropy in Indonesia. Journal of Islamic Marketing, 13(2), 381-409. doi:https://doi.org/10.1108/jima-01-2020-0020
Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178. doi:https://doi.org/10.2307/41410412
Xu, F., & Du, J. (2018). Factors influencing users’ satisfaction and loyalty to digital libraries in Chinese universities. Computers in Human Behavior, 83, 64-72. doi:https://doi.org/10.1016/j.chb.2018.01.029
Yang, Q., & Lee, Y. (2021). The critical factors of student performance in MOOCs for sustainable education: a case of Chinese universities. Sustainability, 13(14), 8089. doi:https://doi.org/10.3390/su13148089
Zheng, H., Qian, Y., Wang, Z., & Wu, Y. (2023). Research on the Influence of E-Learning Quality on the Intention to Continue E-Learning: Evidence from SEM and fsQCA. Sustainability, 15(6), 5557. doi:https://doi.org/10.3390/su15065557
Zhu, M., Sari, A., & Lee, M. (2018). A systematic review of research methods and topics of the empirical MOOC literature (2014–2016). The Internet and Higher Education, 37, 31-39. doi:https://doi.org/10.1016/j.iheduc.2018.01.002
DOI: http://dx.doi.org/10.32870/Ap.v17n2.2641
Métricas de artículo
Metrics powered by PLOS ALM
Enlaces refback
- No hay ningún enlace refback.
Apertura vol. 17, núm. 2, octubre 2025 - marzo 2026, es una revista científica especializada en innovación educativa en ambientes virtuales que se publica de manera semestral por la Universidad de Guadalajara, a través de la Coordinación de Recursos Informativos del Sistema de Universidad Virtual. Oficinas en Av. La Paz 2453, colonia Arcos Sur, CP 44140, Guadalajara, Jalisco, México. Tel.: 3268-8888, ext. 18775, www.udgvirtual.udg.mx/apertura, apertura@udgvirtual.udg.mx. Editor responsable: Dr. Rafael Morales Gamboa. Número de la Reserva de Derechos al Uso Exclusivo del Título de la versión electrónica: 04-2009-080712102200-203, e-ISSN: 2007-1094; número de la Reserva de Derechos al Uso Exclusivo del Título de la versión impresa: 04-2009-121512273300-102, ISSN: 1665-6180, otorgados por el Instituto Nacional del Derecho de Autor. Número de Licitud de Título: 13449 y número de Licitud de contenido: 11022 de la versión impresa, ambos otorgados por la Comisión Calificadora de Publicaciones y Revistas Ilustradas de la Secretaría de Gobernación. Responsable de la última actualización de este número: Sergio Alberto Mendoza Hernández. Fecha de última actualización: 30 de septiembre de 2025.