Uso del smartphone en jóvenes universitariosUna oportunidad para el aprendizaje
- Alberto Dafonte-Gómez 1
- Marcelo Fabián Maina
- Oswaldo García-Crespo 1
-
1
Universidade de Vigo
info
ISSN: 1133-8482
Datum der Publikation: 2021
Nummer: 60
Seiten: 211-227
Art: Artikel
Andere Publikationen in: Pixel-Bit: Revista de medios y educación
Zusammenfassung
El elevado nivel de penetración del smartphone junto con su reducido coste de implementación en el ámbito educativo hace que el m-learning sea una tendencia en crecimiento a nivel mundial. Este artículo presenta los hábitos de uso de aplicaciones para la comunicación y el aprendizaje móvil del 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, un aspecto que no muchas investigaciones del campo destacan, pero que convenientemente utilizado por los docentes– puede suponer una gran oportunidad para su implementación
Bibliographische Referenzen
- 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