Uso del smartphone en jóvenes universitarios: una oportunidad para el aprendizaje
HTML
PDF

Métricas alternativas

Métrica

Palabras clave

mobile learning
competencia digital
blended learning
UTAUT Mobile learning
digital competence
blended learning
UTAUT

Cómo citar

Dafonte-Gómez, A., Maina, M. F., & García-Crespo, O. (2021). Uso del smartphone en jóvenes universitarios: una oportunidad para el aprendizaje: [Smartphone use in university students: An opportunity for learning]. Pixel-Bit. Revista De Medios Y Educación, 60, 211–227. https://doi.org/10.12795/pixelbit.76861

Resumen

El elevado nivel de penetración del smartphone junto con su reducido coste de implementación en el ámbito educativo –en particular en países en desarrollo– hacen que organismos como la UNESCO apuesten por las posibilidades formativas de estos dispositivos tanto para modelos de e-learning como de blended learning y hacen que hoy el m-learning sea una tendencia educativa en crecimiento a nivel mundial.

Este artículo presenta los hábitos de uso de aplicaciones para la comunicación y el aprendizaje móvil por parte de alumnado de educación superior e identifica factores que pueden favorecer la intención de adoptar herramientas de m-learning basadas en el smartphone entre el alumnado universitario. Para ello se administró un cuestionario basado en el modelo UTAUT2 de adopción de tecnología a 176 estudiantes de distintos cursos del Grado en Publicidad y Relaciones Públicas de la Universidad de Vigo. Los resultados muestran los principales usos que hacen los estudiantes del smartphone, sus preferencias en cuanto a la utilización del dispositivo para el aprendizaje y la importancia de la dimensión lúdica del m-learning en la intención de adoptar este modelo.

https://doi.org/10.12795/pixelbit.76861
HTML
PDF

Citas

Abu-Al-Aish, A., & Love, S. (2013). Factors influencing students’ acceptance of m-learning: An investigation in higher education. International Review of Research in Open and Distance Learning, 14(5), 82-107. https://doi.org/10.19173/irrodl.v14i5.1631

Brooks, D. C., & Pomerantz, J. (2017). ECAR Study of Undergraduate Students and Information Technology, 2017. https://i.gal/25RZP

Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 53-64. https://doi.org/10.1016/j.compedu.2018.04.007

Dakduk, S., Santalla-Banderali, Z., & Van der Woude, D. (2018). Acceptance of Blended Learning in Executive Education. SAGE Open, 8(3). https://doi.org/10.1177/2158244018800647

García Botero, G., Questier, F., Cincinnato, S., He, T., & Zhu, C. (2018). Acceptance and usage of mobile assisted language learning by higher education students. Journal of Computing in Higher Education, 30(3), 426-451. https://doi.org/10.1007/s12528-018-9177-1

George, D., & Mallery, P. (2003). SPSS for Windows step by step: A simple guide and reference 11.0 update (4th ed.). Allyn & Bacon.

Gikas, J., & Grant, M. M. (2013). Mobile computing devices in higher education: Student perspectives on learning with cellphones, smartphones & social media. Internet and Higher Education, 19, 18-26. https://doi.org/10.1016/j.iheduc.2013.06.002

Gómez, J. (2016). UNIVERSITIC 2016. Análisis de las TIC en las Universidades Españolas. https://i.gal/alOEz

Grant, M. M. (2019). Difficulties in defining mobile learning: analysis, design characteristics, and implications. Educational Technology Research and Development, 67(2), 361-388. https://doi.org/10.1007/s11423-018-09641-4

Grieve, R., Padgett, C. R., & Moffitt, R. L. (2016). Assignments 2.0: The role of social presence and computer attitudes in student preferences for online versus offline marking. The Internet and Higher Education, 28, 8-16. https://doi.org/10.1016/j.iheduc.2015.08.002

Kallaya, J., Kittima, M., & Prasong, P. (2009, diciembre 18). An Acceptance of Mobile Learning for Higher Education Students in Thailand. The Sixth International Conference on eLearning for Knowledge-Based Society, Tailandia. https://i.gal/8CnGz

Karimi, S. (2016). Do learners’ characteristics matter? An exploration of mobile-learning adoption in self-directed learning. Computers in Human Behavior, 63(Supplement C), 769-776. https://doi.org/10.1016/j.chb.2016.06.014

Krull, G., & Duart, J. M. (2017). Research Trends in Mobile Learning in Higher Education: A Systematic Review of Articles (2011 – 2015). The International Review of Research in Open and Distributed Learning, 18(7). https://doi.org/10.19173/irrodl.v18i7.2893

Kukulska-Hulme, A. (2005). Introduction. En A. Kukulska-Hulme & J. Traxler (Eds.), Mobile learning: a handbook for educators and trainers (pp. 1-6). Routledge.

López, F. A., & Silva, M. M. (2016). Factors of mobile learning acceptance in higher education. Estudios Sobre Educacion, 30, 175-195. https://doi.org/10.15581/004.30.175-195

Lowenthal, J. N. (2010). Using Mobile Learning: Determinates Impacting Behavioral Intention. American Journal of Distance Education, 24(4), 195-206. https://doi.org/10.1080/08923647.2010.519947

Ma, J., Han, X., Yang, J., & Cheng, J. (2015). Examining the necessary condition for engagement in an online learning environment based on learning analytics approach: The role of the instructor. The Internet and Higher Education, 24, 26-34. https://doi.org/10.1016/j.iheduc.2014.09.005

Martín García, A., García del Dujo, Á. G. del, & Muñoz Rodríguez, J. M. M. (2014). Factores determinantes de adopción de blended learning en educación superior. Adaptación del modelo UTAUT*. Educación XX1, 17(2). https://doi.org/10.5944/educxx1.17.2.11489

Masrek, M. N., & Samadi, I. (2017). Determinants of mobile learning adoption in higher education setting. Asian Journal of Scientific Research, 10(2), 60-69. https://doi.org/10.3923/ajsr.2017.60.69

Mateus, J. C., Aran-Ramspott, S., & Masanet, M.-J. (2017). Revisión de la literatura sobre dispositivos móviles en la universidad española. RIED. Revista Iberoamericana de Educación a Distancia, 20(2), 49-72. https://doi.org/10.5944/ried.20.2.17710

Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Vallespín-Arán, M. (2018). Exploring the impacts of interactions, social presence and emotional engagement on active collaborative learning in a social web-based environment. Computers and Education, 123, 41-52. https://doi.org/10.1016/j.compedu.2018.04.012

Mosunmola, A., Mayowa, A., Okuboyejo, S., & Adeniji, C. (2018). Adoption and use of mobile learning in higher education: The UTAUT model. IC4E ’18: Proceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning, 20-25. https://doi.org/10.1145/3183586.3183595

Motiwalla, L. F. (2007). Mobile learning: A framework and evaluation. Computers and Education, 49(3), 581-596. https://doi.org/10.1016/j.compedu.2005.10.011

Ngampornchai, A., & Adams, J. (2016). Students’ acceptance and readiness for E-learning in Northeastern Thailand. International Journal of Educational Technology in Higher Education, 13(1). https://doi.org/10.1186/s41239-016-0034-x

Park, Y. (2011). A pedagogical framework for mobile learning: Categorizing educational applications of mobile technologies into four types. International Review of Research in Open and Distance Learning, 12(2), 78-102. https://doi.org/10.19173/irrodl.v12i2.791

Peters, K. (2007). m-Learning: Positioning educators for a mobile, connected future. The International Review of Research in Open and Distributed Learning, 8(2). https://doi.org/10.19173/irrodl.v8i2.350

Pimmer, C., Mateescu, M., & Gröhbiel, U. (2016). Mobile and ubiquitous learning in higher education settings. A systematic review of empirical studies. Computers in Human Behavior, 63, 490-501. https://doi.org/10.1016/j.chb.2016.05.057

Ramírez-Montoya, M. S., & García-Peñalvo, F. J. (2017). La integración efectiva del dispositivo móvil en la educación y en el aprendizaje. RIED. Revista Iberoamericana de Educación a Distancia, 20(2), 29-47. https://doi.org/10.5944/ried.20.2.18884

Salloum, S. A., & Shaalan, K. (2019). Factors Affecting Students’ Acceptance of E-Learning System in Higher Education Using UTAUT and Structural Equation Modeling Approaches. Advances in Intelligent Systems and Computing, 845, 469-480. https://doi.org/10.1007/978-3-319-99010-1_43

Sung, Y.-T., Chang, K.-E., & Liu, T.-C. (2016). The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis. Computers & Education, 94(Supplement C), 252-275. https://doi.org/10.1016/j.compedu.2015.11.008

Terzis, V., & Economides, A. A. (2011). The acceptance and use of computer based assessment. Computers and Education, 56(4), 1032-1044. https://doi.org/10.1016/j.compedu.2010.11.017

Thongsri, N., Shen, L., Bao, Y., & Alharbi, I. M. (2018). Integrating UTAUT and UGT to explain behavioural intention to use M-learning: A developing country’s perspective. Journal of Systems and Information Technology, 20(3), 278-297. https://doi.org/10.1108/JSIT-11-2017-0107

Venkatesh, V., Thong, J. Y. L., & 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. https://doi.org/10.2307/41410412

Wang, Y.-S., Wu, M.-C., & Wang, H.-Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92-118. https://doi.org/10.1111/j.1467-8535.2007.00809.x

Wu, W.-H., Jim, W., Chen, C.-Y., Kao, H.-Y., Lin, C.-H., & Huang, S.-H. (2012). Review of trends from mobile learning studies: A meta-analysis. Computers and Education, 59(2), 817-827. https://doi.org/10.1016/j.compedu.2012.03.016

Descargas

Los datos de descargas todavía no están disponibles.