El uso del Ambiente Virtual de Aprendizaje entre el profesorado de educación superior: un análisis de género

Autores/as

DOI: https://doi.org/10.6018/red.400061
Palabras clave: brecha digital de género; Ambientes Virtual de Aprendizaje; Educación Superior; competencias digitales

Resumen

El uso masivo de la tecnología, en la vida cotidiana y en la educación en particular, está teniendo siempre más influencias en la autopercepción, por parte de los/as docentes, de habilidades de uso de las TIC, así como en sus competencias digitales. El propósito del estudio ha sido analizar si se presentan diferencias de género en el uso pedagógico de la plataforma Moodle, encuestando una población de 640 docentes de una institución de educación superior técnico profesional de Chile. El estudio ha sido realizado a través del análisis estadístico basado en la prueba de significación de hipótesis nula y la variable género ha sido analizada de forma descontextualizada, sin tomar en consideración las interacciones que se puedan dar con otras variables. Entre los resultados principales se destaca la evidencia de que no se presentan diferencias significativas entre profesores y profesoras el uso didáctico de la plataforma Moodle, así como en la auto calificación del dominio de la misma.

Descargas

Los datos de descargas todavía no están disponibles.

Citas

Ahmad, T. B. T., Basha, K. M., Marzuki, A. M., Hisham, N. A. & Sahari, M. (2010). Faculty’s acceptance of computer based technology: Cross-validation of an extended model. Australasian Journal of Educational Technology, 26(2), 268-279. http://www.ascilite.org.au/ajet/ajet26/ahmad.html.

Alaminos, A. (2006). El muestreo en la investigación social. En A. Alaminos y J.L. Castejón, Elaboración, análisis e interpretación de encuestas, cuestionarios y escalas de opinión (46-67). Alcoy: Marfil.

Almerich Cerveró, G., Suárez Rodríguez, J. M., Jornet Meliá, J. M., & Orellana Alonso, M. N. (2011). Las competencias y el uso de las Tecnologías de Información y Comunicación (TIC) por el profesorado: estructura dimensional. Revista electrónica de investigación educativa, 13(1), 28-42.

Aristovnik, A., Tomazevic, N., Kerzic, D., & Umek, L. (2017). The impact of demographic factors on selected aspects of e-learning in higher education. The International Journal of Information and Learning Technology, 34(2), 114-12

Asiri, M. J. S. (2012). Factors influencing the use of learning management system in Saudi Arabian Higher Education: A theoretical framework. Higher Education Studies, 2(2), 125-137.

Bandura, A. (1977). Self-efficacy: Toward a Unifying Theory of Behavioural Change. Psychological Review, 84 (2), pp. 191-215. http://dx.doi.org/10.1037/0033-295X.84.2.191

Bandura, A., Barbaranelli, C., Caprara, G. y Pastorelli, C. (2001). Self-efficacy Beliefs as Shapers of Children’s Aspirations and Career Trajectories. Child Development, 72 (1), pp. 187-206. http://dx.doi.org/10.1111/1467-8624.00273

Bidarian, S., Davoudi, A.M. (2011) A Model for application of ICT in the process of teaching and learning. International Conference on Education and Educational Psychology (ICEEPSY). Procedia - Social and Behavioral Sciences 29 (2011) 1032-1041.

Bishop, Y.M., Fienberg, S.E. y Holland, P.W. (2007). Discrete Multivariate Analysis. Theory and Applications. New York: Springer.

Buabeng-Andoh, C. (2012). Factors influencing teachers' adoption and integration of information and communication technology into teaching: A review of the literature. International Journal of Education and Development using Information and Communication Technology, 8(1), 136.

Cabero J. y Barroso, J. (2016). ICT teacher training: a view of the TPACK model. Cultura y Educación, 28(3), 633-663. http://dx.doi.org/10.1080/11356405.2016.1203526.

Cabero, J., Sampedro, B y Gallego, O. (2016). Valoraciones de la “aceptación de la tecnología de formación virtual” por profesores universitarios asistentes a un curso de formación virtual. EDUTEC, Revista Electrónica de Tecnología Educativa, 56, 31-47. Recuperado el 27/02/2018 de http://www.edutec.es/revista.

Cantón, I., Cañón, R y Grande, M. (2017). La comunicación como subdimensión de la competencia digital en futuros maestros de primaria. Pixel-Bit. Revista de Medios y Educación, 50, 33-47. doi: http://dx.doi.org/10.12795/pixelbit.2017.i50.02.

Casquero, G. B., García, L. M. C., & González, R. F. L. (2014). Competencias Tecnológicas de los profesores de Infantil y Primaria de Extremadura en función del género. IE Comunicaciones: Revista Iberoamericana de Informática Educativa, (19), 3.

Castellanos, A., Sánchez, C. y Calderero, J. (2017). Nuevos modelos tecnopedagógicos. Competencia digital de los alumnos universitarios. Revista Electrónica de Investigación Educativa, 19(1), 1-9, (Recuperado de http://redie.uabc.mx/redie/article/view/1148

Chen, R. (2010). Investigating models for preservice teachers’ use of technology to support student-centered learning. Computers & Education, 55(1), 32-42. http://dx.doi.org/10.1016/j.compedu.2009.11.015.

Chiu, J. L., & Linn, M. C. (2012). The role of self-monitoring in learning chemistry with dynamic visualizations. In Zohar, A., Dori, Y. J. (Eds), Metacognition in science education: Trends in current research. 133-163. Dordrecht: Springer.

Chou, C., Wu, H. C., & Chen, C. H. (2011). Re-visiting college students’ attitudes toward the Internet-based on a 6-T model: Gender and grade level difference. Computers & Education, 56(4), 939-947

Clark, R. C. and Meyer, R. E. (2011), E-learning and the science of instruction: proven guidelines for consumers and designers of multimedia learning, Pfeiffer, New York.

Dusick, D. M. (1998). What social cognitive factors influence faculty members’ use of computers for teaching? A literature review. Journal of Research on Computing in Education, 31 (2), 123-137.

Egbo O. P., Chinwe R., Ikechukwu C., & Onwumere J. U. (2011). Gender perception and attitude towards ELearning: A case of Business students, University of Nigeria. International Journal of Computer Application, 1, 135–148.

González-Gómez, F., Guardiola, J., Rodríguez, Ó. M., & Alonso, M. Á. M. (2012). Gender differences in e-learning satisfaction. Computers & Education, 58(1), 283-290.

Grundy, F. (1996) Women and computers. Exeter, England: Intellect Books

Güdüz, A. e İşman, A. (2018). Pre-Service Teachers’ Perception of Distance Education. TOJET: The Turkish Online Journal of Educational Technology, 17(1), 125-129.

Jelfs, A. y Richardson, J. (2013). The use of digital technologies across the adult life span in distance education. British Journal of Educational Technology, 44, 2, 338-351. doi:10.1111/j.1467-8535.2012.01308.x./s11423-014-9355-4.

Kafyulilo, A., Fisser, P., & Voogt, J. (2016). Factors affecting teachers’ continuation of technology use in teaching. Education and Information Technologies, 21(6), 1535-1554. doi:10.1007/s10639-015-9398-0

Kim, Y. L. (2010). Gender role and the use of university library website resources: a social cognitive theory perspective. Journal of Information Science, 36(5), 603–617.

Kirkup, G., & Kirkwood, A. (2005). Information and communications technologies (ICT) in higher education teaching—a tale of gradualism rather than revolution. Learning, Media and Technology, 30(2), 185-199.

Koch, S., Muller, S. & Sieverding, M. (2008). Women and computers. Effects of stereotype threat on attribution of failure. Computers & Education, 51(4), 1795-1803. http://dx.doi.org/10.1016/j.compedu.2008.05.007

Krause, M., Pietzner, V., Dori, Y. J., & Eilks, I. (2017). Differences and Developments in Attitudes and Self-Efficacy of Prospective Chemistry Teachers Concerning the Use of ICT in Education. Eurasia Journal of Mathematics, Science and Technology Education, 13(8), 4405-4417.

Lai, K. y Hong, K. (2015). Technology use and learning characteristics of students in higher education: Do generational differences exist? British Journal of Educational Technology, 46(4), 725-738. doi:10.1111/bjet.12161.

Law, N., Pelgrum, W. J., & Plomp, T. (Eds.). (2008). Pedagogy and ICT use in schools around the world: Findings from the IEA SITES 2006 study (Vol. 23). Springer Science & Business Media

Lohbeck, A., Hagenauer, G., & Frenzel, A. C. (2018). Teachers' self-concepts and emotions: Conceptualization and relations. Teaching and Teacher Education, 70, 111-120.

Mahmud, R., & Ismail, M. A. H. (2010). Impact of Training and Experience in Using ICT on in-Service Teachers' Basic ICT Literacy. Malaysian Journal of Educational Technology, 10 (2), 6.

Moran, M., Hawkes, M., & El Gayar, O. (2010). Tablet personal computer integration in higher education: Applying the unified theory of acceptance and use technology model to understand supporting factors. Journal of Educational Computing Research, 42(1), 79-101. http://dx.doi.org/10.2190/EC.42.1.d

O´Dwyer, L. y Bernauer, J. (2014). Quantitative research for the qualitative researcher. California: Sage.

OCDE (2010). PISA 2009 at a glance. OECD Publishing http://dx.doi.org/10.1787/9789264095298-en.

Ong, C. S. & Lai, J. Y. (2006). Gender differences in perceptions and relationships among dominants of e-learning acceptance. Computers in Human Behavior, 22(5), 816-829. http://dx.doi.org/10.1016/j.chb.2004.03.006

Pohl, M. (1997). The Internet: a feminine technology? In R. Lander, & A. Adam (Eds.), Women in Computing (pp. 190–197). Exeter, England: Intellect Books.

Raman A., Rozalina Khalid Y., & Rizuan M. (2014). Usage of learning management system (Moodle) among postgraduate students: UTAUT model. Asian Social Science, 10, 186–195 http://dx.doi.org/10.5539/ass.v10n14p186.

Radovan, M. y Kristl, N. (2017). Acceptance of Technology and its Impact on Teacher’s Activities in Virtual Classroom: Integrating UTAUT and CoI into a Combined Model. TOJET: The Turkish Online Journal of Educational Technology, 16(3), 11-22.

Ríos, J.M., Gómez, E. y Priscilla, M. (2018). Valoración de competencias TIC del profesorado universitario: un caso en Chile. Pixel-Bit. Revista de Medios y Educación, 52, 55-65. doi: http://dx.doi.org/10.12795/pixelbit.2018.i52.04.

Rodríguez Espinosa, H., Restrepo Betancur, L. F., & Aranzazu Taborda, D. (2016). Desarrollo de habilidades digitales docentes para implementar ambientes virtuales de aprendizaje en la docencia universitaria. Sophia, 12(2), 261-270.

Rodríguez, E., Restrepo, L. y Aranzazu, D. (2014). Alfabetización informática y uso de sistemas de gestión del aprendizaje (LMS) en la Docencia. Revista de Educación Superior, 43, 171, 139-159.

Romero, R., Cabero, J. y Barroso, J. (2016). E- Learning of Andalusian University's Lecturers. Gender. TOJET: The Turkish Online Journal of Educational Technology, 15, 2, 25-37.

Rossi Cordero, A. E., & Barajas Frutos, M. (2015). Elección de estudios CTIM y desequilibrios de género. Enseñanza de las ciencias, 0059-76.

Sabariego, M. (2012). El proceso de investigación (parte 2). En Bisquerra, R. (coord.), Metodología de la investigación educativa (pp. 127-163). (3ª. ed.). Madrid: La Muralla.

Schumacher, P., & Morahan-Martin, J. (2001). Gender, Internet and computer attitudes and experiences. Computers in Human Behavior, 17(1), 95–110.

Sieverding, M. & Koch, S. C. (2009). (Self-)Evaluation of computer competence: How gender matters. Computers & Education, 52(3), 696-701. http://dx.doi.org/10.1016/j.compedu.2008.11.016

Sosa, E., Salinas, J., & De Benito, B. (2018). Factors that facilitate or limit the incorporation of emerging technologies in the classroom. International Online Journal of Education and Teaching (IOJET), 5(1), 38-59.

Suárez, J., Almerich, G. Gargallo, B. y Aliaga, F. (2013). Las competencias del profesorado en TIC: estructura básica. Educación XX1, 16, 1, 39-62. DOI: 10.5944/educxx1.16.1.716.

Suri G., & Sharma S. (2013). The impact of gender on attitude towards computer technology and E-learning: An exploratory study of Punjab University, India. International Journal of Engineering Research, 2, 132–136.

Sussman, N., & Tyson, D. (2000). Sex and power: gender differences in computer mediated interactions. Computers in Human Behavior, 16(4), 381–394.

Teo, T. (2010). Measuring the effect of gender on computer attitudes among pre-service teachers: A multiple indicators, multiple causes (MIMIC) modeling. Campus-Wide Information Systems, 27(4), 227-239. http://dx.doi.org/10.1108/10650741011073770

Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432-2440.

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

Tsai, P.S., & Tsai, C. C. (2010). Elementary school students’ attitudes and self-efficacy of using PDAs in a ubiquitous learning context. Australasian Journal of Educational Technology, 26 (3), 297-308

Tüfekçi Z. (2008). Gender, social capital and social network(ing) sites: Women bonding, men searching. Boston: Annual meeting of the American Sociological Association. Sheraton Boston and the Boston Marriott Copley Place.

Turkle, S. (1995). Life on the screen: identity in the age of the Internet. New York: Simon & Schuster.

United Nations (2014). Measuring ICT and gender: An assessment .New York and Geneva: United Nations Retrievedfrom http://unctad.org/en/PublicationsLibrary/webdtlstict2014d1_en.pdf.

Vázquez-Cano, E., Meneses, E. L., & García-Garzón, E. (2017). Differences in basic digital competences between male and female university students of Social Sciences in Spain. International Journal of Educational Technology in Higher Education, 14(1), 27

Vekiri, I., & Chronaki, A. (2008). Gender issues in technology use: Perceived social support, computer self-efficacy and value beliefs, and computer use beyond school. Computers & Education, 51 , 1392-1404. http://dx.doi.org/10.1016/j.compedu.2008.01.003

Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender social influence and their role in technology acceptance and usage behaviour. MIS Quarterly, 24 (1), 115-139. http://dx.doi.org/10.2307/3250981

Villalba, A., González-Rivera, M. D., & Diaz-Pulido, D. (2017). Obstacles Perceived by Physical Education Teachers to Integrating ICT. TOJET: The Turkish Online Journal of Educational Technology, 16(1), 83-92.

Wang, Sh., Hsu, H., Campbell, T., Coster D. & Longhurst, M. (2014). An investigation of middle school science teachers and students use of technology inside and outside of classrooms: considering whether digital natives are more technology savvy than their teachers. Education Tech Research Dev, 62:637–662. DOI 10.1007

Weiser, E. (2000). Gender differences in Internet use patterns and Internet application preferences: a two sample comparison. CyberPsychology and Behavior, 3(2), 167–178.

Wong, K., Teo, T., & Russo, S. (2012). Influence of gender and computer teaching efficacy on computer acceptance among Malaysian student teachers: An extended technology acceptance model. Australasian Journal of Educational Technology, 28(7), 1190-1207.

Zeldin, A. L. y Pajares, F. (2000). Against the Odds: Self-efficacy Beliefs of Women in Mathematical, Scientific and Technological Careers. American Educational Research Journal, 37(1), p

Publicado
31-03-2020
Cómo citar
Del Prete, A., & Cabero Almenara, J. (2020). El uso del Ambiente Virtual de Aprendizaje entre el profesorado de educación superior: un análisis de género. Revista de Educación a Distancia (RED), 20(62). https://doi.org/10.6018/red.400061
Número
Sección
Artículos