Aprendizaje de las mujeres en las redes sociales: Validación de la escala MAIA con PLS

Palabras clave: aprendizaje informal, redes sociales, ciencias del aprendizaje, validación, estudios de las mujeres

Resumen

Este artículo presenta un instrumento para medir el aprendizaje que se produce en redes sociales. En la literatura científica existen escasas medidas que permitan conocer los procesos de aprendizaje que tienen lugar en estos entornos digitales. El diseño de la escala se basa en la aplicación de la Teoría de la Actividad a las redes sociales (Heo y Lee 2013). Para la validación de la escala propuesta se parte de un estudio descriptivo tipo encuesta en el que participan 1 340 mujeres españolas, seleccionadas según un muestreo estratificado por cuotas, según edad. El análisis de datos combina técnicas exploratorias y confirmatorias usando SPSS (v. 24) y Smart PLS 3.0. Los resultados muestran altos indicadores de fiabilidad y validez de la escala. Este instrumento de evaluación es especialmente útil para determinar procesos de aprendizaje que se producen en este tipo de entornos digitales valorando en última instancia su incorporación a diversas estrategias formativas orientadas a la inclusión digital de mujeres.

Biografía del autor/a

Rocio Jiménez-Cortés, Universidad de Sevilla
Departamento de Métodos de Investigación y Diagnóstico en Educación

Citas

Beaudoin, M. F. (2002). Learning or Lurking? Tracking the ‘Invisible’ Online Student. The Internet and Higher Education, 5(2), 147–155. Recuperado de http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.505.5696&rep=rep1&type=pdf

Bowman, N. D. y Akcaoglu, M. (2014). “I see smart people!”: Using Facebook to supplement cognitive and affective learning in the university mass lecture. The Internet and Higher Education, 23, 1–8. doi: https://dx.doi.org/10.1016/j.iheduc.2014.05.003

Carmines, E. G., y Zeller, R. A. (1979). Reliability and Validity Assessment. Thousand Oaks, CA: Sage.

Cobo, C. y Moravec, J. W. (2011). Aprendizaje Invisible. Hacia una nueva ecología de la educación. Barcelona: Publicacions I Edicions de la Universitat de Barcelona.

Chin, W.W. (1998). The Partial Least Squares approach for structural equation modeling. En G.A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295-336). London: Lawrence Erlbaum Associates.

Crovi, D. (2013). Repensar la apropiación desde la cultura digital. En Susana Morales y María Inés Loyola (comp.), Nuevas perspectivas en los estudios de comunicación. La apropiación tecno-mediática (pp. 11-24). Buenos Aires: Imago Mundi.

Dabbagh, N. y Kitsantas, A. (2012). Personal Learning Environments, social media, and self-regulated learning: A nautical formula for connectic formal and informal learning. Internet and Higher Education, 15(3-8). Recuperado de http://digtechitalia.pbworks.com/w/file/fetch/88358207/Dabbagh%202012.pdf

Daskalakis, S. y Mantas, J. (2008). Evaluating the impact of a service-oriented framework for healthcare interoperability. En S.K. Andersen et al. (Eds.), eHealth Beyond the Horizon – Get IT There Committee of MIE 2008 (pp. 285-290). Ámsterdam: IOS Press.

Eger, L. (2015). Is Facebook a similar learning tool for university students as LMS? Procedia - Social and Behavioral Sciences, 203, 233-238. doi: https://doi.org/10.1016/j.sbspro.2015.08.287

Fenwick, T. y Tennant, M. (2004). Understanding adult learners. En G. Foley (Ed.), Dimensions of adult Learning: Adult education and training in a global era adult education and training (pp. 55-73). Sydney, Australia: Allen & Unwin.

Falk, R.F. y Miller, N.B. (1992). A Primer for Soft Modeling. Akron: University of Akron Press.

Fornell, C., y Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement Error. Journal of Marketing Research 18(1), 39-50. doi: https://dx.doi.org/10.2307/3151312

Greenhow, C. y Li, J. (2013). Like, comment, share: Collaboration and civic engagement within social network sites for inclusion. En C. Mouza, y N. Lavigne, (Eds.). Emerging technologies for the classroom: A learning sciences perspective (pp. 127-141). New York: Springer.

Greenhow, C. y Robelia, B. (2009). Informal learning and identity formation in online social networks. Learning, Media and Technology, 34(2), 119–140. doi: https://dx.doi.org/10.1080/17439880902923580

Greenhow, C., Dexter, S., y Riedel, E. (2006). Methods for Evaluating Online, Resourcebased Learning Environments for Teachers. Journal of Computing in Teacher Education, 23(1), 21–28. Recuperado de https://files.eric.ed.gov/fulltext/EJ876915.pdf

Greenhow, C., Menzer, M., y Gibbins, T. (2015). Re-thinking scientific literacy: Arguing science issues in a niche Facebook application. Computers in Human Behavior, 53, 593-604. doi: https://dx.doi.org/10.1016/j.chb.2015.06.031

Helsper, E.J., y van Deursen, A.J.A.M. (2015). Digital skills in Europe: Research and policy. En K. Andreasson (Ed.), Digital Divides: The New Challenges and Opportunities of e-Inclusion (pp. 125-148). Public Administration and Public Policy, CRC Press.

Heo, G. M., y Lee, R. (2013). Blogs and Social Network Sites as Activity Systems: Exploring Adult Informal Learning Process through Activity Theory Framework. Educational Technology & Society, 16(4), 133–145. Recuperado de https://www.jstor.org/stable/jeductechsoci.16.4.133

Hu, L. y Bentler, P. M. (2009). Cut-off criteria for fit indices in the analysis of covariance structure: Conventional versus new alternatives. Structural equation modeling: A multidisciplinary journal, 6(1), 1-55. doi: https://dx.doi.org/10.1080/10705519909540118

Junco, R. (2012). The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Computers & Education, 58(1), 162-171. Recuperado de https://www.learntechlib.org/p/50678/

Kirschner, A. P. (2015). Facebook as learning platform: Argumentation superhighway or dead-end street? Computers in Human Behavior, 53, 621-625 doi: https://dx.doi.org/10.1016/j.chb.2015.03.011

Manca, S. y Ranieri, M. (2013). Is it a tool suitable for learning? A critical review of the literature on Facebook as a technology-enhanced learning environment. Journal of Computer-Assisted Learning, 29(6), 487-504. Recuperado de https://doi.org/10.1111/jcal.12007

Mazer, J.P., Murphy, R.E. y Simonds, C.J. (2007). I’ll see you on “Facebook”: The effects of computer-mediated teacher self-disclosure on student motivation, affective learning, and classroom climate. Communication Education, 56(1), 1–17. doi: https://dx.doi.org/10.1080/03634520601009710

McDonald, S., McGarry, K., y Willis, L. M. (2013). Thinking-aloud about web navigation the relationship between think-aloud instructions, task difficulty and performance. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 57(1), 2037–2041. doi: https://dx.doi.org/10.1177/1541931213571455

Morales, J. M. R., Antino, M., De Marco, S., y Lobera, J. A. (2016). La nueva frontera de la desigualdad digital: la brecha participativa. The Participatory Divide. Reis: Revista Española de Investigaciones Sociológicas, 166, 97-116. doi: http://dx.doi.org/10.5477/cis/reis.156.97

Munzel, A., y H. Kunz, W. (2014). Creators, multipliers, and lurkers: who contributes and who benefits at online review sites. Journal of Service Management, 25(1), 49–74. doi: https://dx.doi.org/10.1108/JOSM-04-2013-0115

Park, Y., Heo, G.M. y Lee, R. (2011). Blogging for adult informal learning: Analyzing perceptions of koreans bloggers using perspectives of learning process. Journal of educational technology & Society, 14(2), 149-160. Recuperado de https://dx.doi.org/pdfs.semanticscholar.org/5ded/7b9bb9acffc28e66103d42cdfc5065445c0d.pdf

Pempek, T.A., Yermolayeva, Y.A. y Calvert, S.L. (2009). College students’ social networking experiences on Facebook. Journal of Applied Developmental Psychology, 30(3), 227–238. doi: https://dx.doi.org/10.1016/j.appdev.2008.12.010

Tabachnick, B.G. y Fidell, L. (2013). Using multivariate statistics. Boston: Pearson Education.

Tsovaltzi, D. Judele, R., Puhl, T. y Weinberger, A. (2015). Scripts, individual preparation and group awareness support in the service of learning in Facebook: How does CSCL compare to social networking sites? Computers in Human Behavior, 53, 577-592. doi: https://dx.doi.org/10.1016/j.chb.2015.04.067

Vega, L.; Vico-Bosch, A., y Rebollo-Catalán, Á. (2015). Motivaciones de uso de las redes sociales para el desarrollo del capital social de las mujeres de entorno rural. Icono14, 13(2), 142-162. doi: https://doi.org/10.7195/ri14.v13i2.839

Vygotsky, L.S. (1978). Mind in Society. Cambridge, MA: Harvard University Press.

Wang, H.L,Woo, C.L., Quek, Y., Yang, Liu, M. (2012). Using the Facebook group as a learning management system: an exploratory study. British Journal of Educational Technology, 43(3), 428-438. doi: https://dx.doi.org/10.1111/j.1467-8535.2011.01195.x

Wenger, E. (1998). Communities of practice: learning, meaning, and identity. Cambridge University Press.

Wenger, E., McDermott, R., y Snyder, W. (2002). Cultivating communities of practice: a guide to managing knowledge. Harvard Business School Press.

Williams, B, Onsman, A., y Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Journal of Emergency Primary Health Care (JEPHC), 8(3), Article 990399. Recuperado de http://ro.ecu.edu.au/jephc/vol8/iss3/1

Zurita, G. y Nussbaum, M., (2007). A conceptual framework based on Activity Theory for mobile CSCL. British Journal of Educational Technology, (38)2, 211-235. doi: https://dx.doi.org/10.1111/j.1467-8535.2006.00580.x

Publicado
25-06-2019
Sección
Artículos