Autoeficacia en el uso de TIC en estudiantes universitarios maduros
DOI:
https://doi.org/10.5944/educxx1.30254Palabras clave:
adulto, análisis de regresión, estudiante, igualdad de oportunidades, tecnologías de la información y de la comunicación, universidadAgencias Financiadoras:
Universidad de SevillaResumen
La autoeficacia en el uso de las tecnologías de la información y la comunicación (TIC) es una variable clave para predecir el éxito de los estudiantes en la educación superior. Este estudio explora una serie de variables (género, edad, experiencia de uso, formación y actitudes hacia las TIC) relacionadas con el uso de las TIC por estudiantes maduros, y analiza la relación de estas variables con la autoeficacia percibida. Se aplicó un cuestionario a 382 estudiantes que preparaban el acceso a la universidad de Sevilla por las vías de mayores de 25, 40 y 45 años. Los datos fueron analizados a través de estadísticos descriptivos y análisis de regresión múltiple. Mediante análisis factorial se identifican dos dimensiones: autoeficacia en el tratamiento de la información y autoeficacia con Internet, tomadas como variables dependientes. Los resultados indican que estas dos dimensiones de autoeficacia se asocian respectivamente al uso de software para el procesamiento de información y de Internet. Los grupos de estudiantes de mayor edad tienden a sentirse menos competentes en el uso de las TIC, especialmente en relación a la autoeficacia con Internet. La formación parece ser un precursor relevante de la competencia de un estudiante en el uso de programas básicos de tratamiento de la información, pero no para el uso de Internet. Para los estudiantes maduros, la competencia en el uso de Internet parece ser una cuestión de actitud, por lo que una actitud positiva hacia las TIC facilita el desarrollo de su propia confianza en el uso de Internet. Se concluye insistiendo en la necesidad de que las instituciones de educación superior sean conscientes y presten especial atención a la “brecha digital”, y a las peculiaridades que puede presentar el alumnado universitario de mayor edad.
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Aesaert, K., Voogt, J. Kuiper, E., & Van Braak, J. (2017). Accuracy and bias of ICT self-efficacy: An empirical study into students’ over- and underestimation of their ICT competences. Computers in Human Behavior, 75, 92-102. https://doi.org/10.1016/j.chb.2017.05.010
Arrosagaray, M., González-Peiteado, M., Pino-Juste, M., & Rodríguez-López, B. (2019). A comparative study of Spanish adult students’ attitudes to ICT in classroom, blended and distance language learning modes. Computers & Education, 134, 31-40. https://doi.org/10.1016/j.compedu.2019.01.016
Bandura, A. (1986). Social functions of thought and action: A social cognitive theory. Prentice-Hall.
Cabero, J., & Llorente, C. (2020). La adopción de las tecnolo¬gías por las personas mayores: aportaciones desde el modelo TAM (Technology Acceptance Model). Publicaciones, 50(1), 141–157. https://doi.org/10.30827/publicaciones.v50i1.8521
Cai, Z., Fan, X., & Du, J. (2017). Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1-13. https://doi.org/10.1016/j.compedu.2016.11.003
Chen, X., & Hu, J. (2020). ICT-related behavioral factors mediate the relationship between adolescents’ ICT interest and their ICT self-efficacy: Evidence from 30 countries. Computers & Education, 159, 1-12. https://doi.org/10.1016/j.compedu.2020.104004
Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of measure and initial test. MIS Quarterly, 19(2), 189-221. https://doi.org/10.2307/249688
Erikson, J., & Johnson, G. M. (2011). Internet use and psychological wellness during late adulthood. Canadian Journal on Aging-Revue Canadienne du Vieillissement, 30(2), 197-209. https://doi.org/10.1017/S0714980811000109
Fraillon, J., Ainley, J., Schulz, W., Friedman, T., & Gebhardt, E. (2014). Students' use of and engagement with ICT at home and school. En J. Fraillon, J. Ainley, W. Schulz, T. Friedman, & E. Gebhardt (Eds.), Preparing for life in a digital age (pp. 125-166). Springer International Publishing.
Freixa, M., Llanes, J., & Venceslao, M. (2018). El abandono en el recorrido formativo del estudiante de ADE de la Universidad de Barcelona. Revista de Investigación Educativa, 36(1), 185-202. http://dx.doi.org/10.6018/rie.36.1.278971
Gairín, J., Triado, X. M., Feixas, M., Figuera, P., Aparicio-Chueca, P., & Torrado, M. (2014). Student dropout rates in Catalan universities: Profile and motives for disengagement. Quality in Higher Education, 20(2), 165-182. https://doi.org/10.1080/13538322.2014.925230
Gonzalez, A., Ramírez, M. P., & Viadel, V. (2015). ICT learning by older adults and their attitudes toward computer use. Current Gerontology and Geriatrics Research, 1-7. http://dx.doi.org/10.1155/2015/849308
Graham, C., Woodfield, W., & Harrison J. (2013). A framework for institutional adoption and implementation of blended learning in higher education. The Internet and Higher Education, 18, 4-14. https://doi.org/10.1016/j.iheduc.2012.09.003
Hammond, M., Reynolds, L., & Ingram, J. (2011). How and why do student teachers use ICT? Journal of Computer Assisted Learning, 27(3), 191–203. https://doi.org/10.1111/j.1365-2729.2010.00389.x
Hargittai, E. (2010). Digital Na(t)Ives? Variation in internet skills and uses among members of the “net generation. Sociological Inquiry, 80(1), 92–113. https://doi.org/10.1111/j.1475-682X.2009.00317.x
Hatlevik, O.E., Guðmundsdottir, G.B., & Loi, M. (2015). Digital diversity among upper secondary students: A multilevel analysis of the relationship between cultural capital, self-efficacy, strategic use of information and digital competence. Computers & Education, 81, 345-353. https://doi.org/10.1016/j.compedu.2014.10.019
Hatlevik, O. E., Scherer, R., & Christophersen, K. A. (2017). Moving beyond the study of gender differences: An analysis of measurement invariance and differential item functioning of an ICT literacy scale. Computers & Education, 113, 280–293. http://dx.doi.org/10.1016/j.compedu.2017.06.003
Hatlevik, O.E., Throndsen, I., Loi, M., & Guðmundsdottir, G. B. (2018). Students’ ICT self-efficacy and computer and information literacy: Determinants and relationships. Computers & Education, 118, 107-119. https://doi.org/10.1016/j.compedu.2017.11.011
Hauschildt, K., Gwosć, C., Netz, N., & Mishra, S. (2015). Social and economic conditions of student life in Europe 2012 - 2015. Synopsis of Indicators. W. Bertelsmann Verlag GmbH & Co. KG.
Henderson, M., Selwyn, N., & Aston, R. (2017). What works and why? Student perceptions of ‘useful’ digital technology in university teaching and learning. Studies in Higher Education, 42(8), 1567-1579. https://doi.org/10.1080/03075079.2015.1007946
Jones, C., Ramanau, R., Cross, S., & Healing, G. (2010). Net generation or digital natives: Is there a distinct new generation entering university? Computers & Education, 54(3), 722–732. https://doi.org/10.1016/j.compedu.2009.09.022
Jokisch, M. R., Schmidt, Doh, M., Marquard, M., & Wahl, H. W. (2020). The role of internet self-efficacy, innovativeness and technology avoidance in breadth of internet use: Comparing older technology experts and non-experts. Computers in Human Behavior, 111, 1-9. https://doi.org/10.1016/j.chb.2020.106408.
Kember, D., Leung, D., & Prosser, M. (2019). Has the open door become a revolving door? The impact on attrition of moving from elite to mass higher education. Studies in Higher Education, 46(2), 258-269. https://doi.org/10.1080/03075079.2019.1629411
Kennedy, G., Judd, T., Dalgarnot, B., & Waycott, J. (2010). Beyond natives and immigrants: Exploring types of net generation students. Journal of Computer Assisted Learning, 26, 332–343. https://doi.org/10.1111/j.1365-2729.2010.00371.x
Kirschner, P. A., & Bruyckere, P. (2017). The myths of the digital native and the multitasker. Teaching and Teacher Education, 67, 135-142. https://doi.org/10.1016/j.tate.2017.06.001
Lee, K. (2017). Rethinking the accessibility of online higher education: A historical review. The Internet and Higher Education, 33, 15-23. https://doi.org/10.1016/j.iheduc.2017.01.001
Lee, K., Choi, H., & Cho, Y. H. (2019). Becoming a competent self: A developmental process of adult distance learning. The Internet and Higher Education, 41, 25-33. https://doi.org/10.1016/j.iheduc.2018.12.001
Malliari, A., Korobili, S., & Togia, A. (2012). ITC self-efficacy and computer competence of LIS students. The Electronic Library, 30(5), 608-622. https://dx.doi.org/10.1108/02640471211275675
Marakas, G. M., Yi, M., & Johnson, D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9(2), 126–163. https://doi.org/10.1287/isre.9.2.126
Margaryan, A., Littlejohn, A., & Vojt, G. (2011). Are digital natives a myth or reality? University students’ use of digital technologies. Computers & Education, 56(2), 429-440. https://doi.org/10.1016/j.compedu.2010.09.004
MECD (2016). Datos y cifras del sistema universitario español, curso 2015/2016. MECD.
Prensky, M. (2001). Digital natives, digital immigrants. On the Horizon, 9(5), 1-6. https://doi.org/10.1108/10748120110424816
Prior, D. D., Manzanov, J., Meacheam, D., Heaslip, G., & Hanson, J. (2016). Attitude, digital literacy and self efficacy: Flow-on effects for online learning behaviour. The Internet and Higher Education, 29, 91-97. https://doi.org/10.1016/j.iheduc.2016.01.001
Rohatgi, A., Scherer, R., & Hatlevik, O. E. (2016). The role of ICT self-efficacy for students' ICT use and their achievement in a computer and information literacy test. Computers & Education, 102, 103-116. https://dx.doi.org/10.1016/j.compedu.2016.08.001
Román-García, S., Almansa-Martínez, A., & Cruz-Díaz, M. R. (2016). Adultos y mayores frente a las TIC. La competencia mediática de los inmigrantes digitales. Comuni¬car, 24(49), 101-109. https://dx.doi.org/10.3916/C49-2016-10
Scherer, R., & Siddiq, F. (2015). Revisiting teachers’ computer self-efficacy: A differentiated view on gender differences. Computers in Human Behavior, 53, 48–57. https://doi.org/10.1016/j.chb.2015.06.038
Smith, B., Caputi, P., & Rawstorne, P. (2000). Differentiating computer experience and attitudes toward computers: An empirical investigation. Computers in Human Behaviour, 16(1), 59-81. https://dx.doi.org/10.1016/S0747-5632(99)00052-7
Tezci, E. (2011). Factors that influence pre-service teachers’ ICT usage in education. European Journal of Teacher Education, 3(4), 483-499. https://doi.org/10.1080/02619768.2011.587116
Thompson, P. (2013). The digital natives as learners: Technology use patterns and approaches to learning. Computers & Education, 65, 12-33. https://doi.org/10.1016/j.compedu.2012.12.022
Torkzadeh, G., & Van Dyke, T. P. (2002). Effects of training on internet self-efficacy and computer user attitudes. Computers in Human Behavior, 18(5), 479-494. https://doi.org/10.1016/S0747-5632(02)00010-9
Tufts, D. R. (2010). Digital adults: Beyond the myth of the digital native generation gap. Fielding Graduate University.
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
