Technology Acceptance Model (TAM) applied to a Disciplinary Social Network for online psychology students
DOI:
https://doi.org/10.33448/rsd-v13i1.44782Keywords:
Social networks; E-learning; Open source software; Psychology; Teaching.Abstract
Social networks have been present in people's daily lives to share information and communicate with family and friends. In the educational field, they have come up with commonly used social networks such as Facebook and Twitter-X, however, these networks have been accused of accessing user data without their consent for marketing purposes. In this scenario, there are open-source social networks that can be used in the educational field, thus creating Disciplinary Social Networks (Disciplinary SN). Our research objective is to evaluate the Attitude, Intention to Use, Perceived Usefulness, Ease of Use, Trust and Perceived Risk of a Disciplinary Social Network. For this, we used a modified Technology Acceptance Model (TAM) instrument. The sample consisted of 211 university students from an online psychology degree and users of a Disciplinary Social Network based on the Mastodon social network. The results obtained show considerably high means in all scales of the modified TAM instrument, except for perceived risk, which obtained a low mean. It is concluded that the Disciplinary Social Network was perceived as a safe and reliable environment, with a low perception of risk, in contrast to the findings of other authors who evaluated the same elements in commonly used social networks such as Facebook.
References
Aldaz, J. (2019). Análisis del engagement en la red social facebook en Instituciones de Educación Superior en Colombia. [Master Thesis] Universidad de la Sabana. http://hdl.handle.net/10818/38520
Alvarado, E., Ochoa, M., Ronquillo, G., & Sánchez, M. (2019). Importancia y uso de las redes sociales en la educación. RECIMUNDO, 3(2), 882-893. https://doi.org/10.26820/recimundo/3.(2).abril.2019.882-893
Arora, N., & Zinolabedini, D. (2019). The Ethical Implications of the 2018 Facebook-Cambridge Analytica Data Scandal. Student Works. http://dx.doi.org/10.26153/tsw/7590
Ball, J. & Rushe, D. (2013) NSA Prism program taps in to user data of Apple, Google and others. The Guardian. https://www.theguardian.com/world/2013/jun/06/us-tech-giants-nsa-data
Barab, S., Schatz, S., & Scheckler, R. (2004). Using activity theory to conceptualize online community and using online community to conceptualize activity theory. Mind, Culture, and Activity, 11(1), 25-47. http://dx.doi.org/10.1207/s15327884mca1101_3
Belanche, D., Casaló, L. V., & Flavián, C. (2012). Integrating trust and personal values into the Technology Acceptance Model: The case of e-government services adoption. Cuadernos de Economía y Dirección de la Empresa, 15(4), 192-204. https://doi.org/10.1016/j.cede.2012.04.004
Benton, B., Choi, J., Luo, Y., & Green, K. (2022). Hate speech spikes on twitter after elon musk acquires the platform. School of Communication and Media, Montclair State University. https://digitalcommons.montclair.edu/cgi/viewcontent.cgi?article=1030&context=scom-facpubs
Brown, A. (2020). “Should I stay or should I leave?”: Exploring (dis) continued Facebook use after the Cambridge Analytica scandal. Social media+ society, 6(1), 1-8. https://doi.org/10.1177/2056305120913884
Caelin, D. (2022). Decentralized Networks vs The Trolls. In: Mahmoudi, H. & Allen, M. (Eds.) Fundamental Challenges to Global Peace and Security (pp. 143-168). Palgrave Macmillan Cham. https://doi.org/10.1007/978-3-030-79072-1
Cañarte, T. (2021). Tecnologías de Información (TIC) como factor de éxito en la calidad de la docencia universitaria ecuatoriana [Doctoral Thesis]. Universitat Jaume I. http://dx.doi.org/10.6035/14119.2021.768438
Crossley, A. (2015). Facebook feminism: Social media, blogs, and new technologies of contemporary US feminism. Mobilization: An International Quarterly, 20(2), 253-268. https://doi.org/10.17813/1086-671X-20-2-253
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Fajardo, L., Alarcón, M., Alcas, M., & Alarcón, H. (2019). Facebook and Virtual Communication. An Experimental Study in Higher Education Teachers. Propósitos y Representaciones, 7(2), 45-59. https://dx.doi.org/10.20511/pyr2019.v7n2.268
Fuentes, C., Estrada, M. & Delgado, Y. (2021). Las redes sociales digitales: una valoración socioeducativa. Revisión sistemática. Revista Fuentes, 23(1), 41–52. https://doi.org/10.12795/revistafuentes.2021.v23.i1.11947
Hensby, A. (2020). Open networks and secret Facebook groups: exploring cycle effects on activists’ social media use in the 2010/11 UK student protests. In Technology, Media and Social Movements (pp. 84-96). Routledge.
Hinds, J., Williams, E. J., & Joinson, A. N. (2020). “It wouldn't happen to me”: Privacy concerns and perspectives following the Cambridge Analytica scandal. International Journal of Human-Computer Studies, 143, 102498. https://doi.org/10.1016/j.ijhcs.2020.102498
Jikeli, G., & Soemer, K. (2022). Conversations About Jews on Twitter: Recent Developments Since Elon Musk’s Takeover. Computational and Mathematical Organization Theory. https://isca.indiana.edu/publication-research/social-media-project/Conversations-About-Jews-on-Twitter.-Recent-Developments-Since-the-Takeover-by-Elon-Musk.pdf
Lau, F. (2016). Methods for Correlational Studies. In: Lau, F., & Kuziemsky, C. (Eds.), Handbook of eHealth evaluation: an evidence-based approach (pp. 213-226). University of Victoria. http://hdl.handle.net/1828/7814
La Cava, L., Greco, S., & Tagarelli, A. (2022). Discovering the Landscape of Decentralized Online Social Networks through Mastodon. En: CEUR Workshop Proceedings. https://ceur-ws.org/Vol-3194/paper25.pdf
Lee, F., Chen, H., & Chan, M. (2017). Social media use and university students’ participation in a large-scale protest campaign: The case of Hong Kong’s Umbrella Movement. Telematics and Informatics, 34. https://doi.org/10.1016/j.tele.2016.08.005
Liccardi, I., Ounnas, A., Pau, R., Massey, E., Kinnunen, P., Lewthwaite, S., ... & Sarkar, C. (2007). The role of social networks in students' learning experiences. ACM Sigcse Bulletin, 39(4), 224-237.https://doi.org/10.1145/1345375.1345442
Lorenzo, C., Alarcón, M. y Gómez, M. (2011). Adopción de redes sociales virtuales: ampliación del Modelo de Aceptación Tecnológica integrando confianza y riesgo percibido. Cuadernos de Economía y Dirección de la Empresa, 14(3), 194-205. https://doi.org/10.1016/j.cede.2010.12.003
Maldonado, G., García, J., & Sampedro-Requena, B. (2019). El efecto de las TIC y redes sociales en estudiantes universitarios. RIED. Revista Iberoamericana de Educación a Distancia, 22(2), pp. 153-176. https://doi.org/10.5944/ried.22.2.23178
Maqableh, M., Abuhashesh, M., Dahabiyeh, L., Nawayseh, M., & Masadeh, R. (2021). The effect of Facebook users’ satisfaction and trust on stickiness: the role of perceived values. International Journal of Data and Network Science, 5(3), 245-256. http://dx.doi.org/10.5267/j.ijdns.2021.6.009
Martínez-Sala, A. M. y Alemany-Martínez, D. (2021). Redes sociales educativas para la adquisición de competencias digitales en educación superior. Revista Mexicana de Investigación Educativa, 27(92), 209-234. http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-66662022000100209&lng=es&tlng=es
Meza, J., & González, E. (2022). Evaluación de la percepción de redes sociales desde el Modelo de Aceptación Tecnológica en estudiantes en línea de psicología mexicanos. Praxis Educativa, 26(1), 1-16. https://doi.org/10.19137/praxiseducativa-2022-260106
Meza, J., Hernández, P., Morales, M, & Rivera, J. (2022). Uso de Redes Sociales de Código Abierto como Redes Sociales Disciplinares: experiencia en un taller en línea. Didáctica, innovación y multimedia, (40). https://raco.cat/index.php/DIM/article/view/402699.
Negrete, O.. y Saucedo, C. (2020). Uso y percepción de Facebook en estudiantes de psicología en su modalidad a distancia de una universidad pública. Revista Digital Internacional de Psicología y Ciencia Social, 6(2), 277-301. https://doi.org/10.22402/j.rdipycs.unam.6.2.2020.285.277-301
Peña, E. y Sánchez, A. (2017). La integración de las redes sociales para el desarrollo de la competencia digital en la educación superior. Universitas Tarraconensis. Revista de Ciències de l'Educació, 1(1), 50-65. http://dx.doi.org/10.17345/ute.2017.1.1782
Rehman, I. (2019). Facebook-Cambridge Analytica data harvesting: What you need to know. Library Philosophy and Practice, 1-11. https://digitalcommons.unl.edu/libphilprac/2497/
Salinas, S. (2018, march 21) Zuckerberg on Cambridge Analytica: ‘We have a responsibility to protect your data, and if we can’t then we don’t deserve to serve you’. CNBC. https://www.cnbc.com/2018/03/21/zuckerberg-statement-on-cambridge-analytica.html
Sánchez-Franco, M. J., Munoz-Exposito, M., & Villarejo-Ramos, A. F. (2017). A knowledge structures exploration on social network sites. Kybernetes. https://doi.org/10.1108/K-01-2016-0013
Saura, G. (2020). Filantrocapitalismo digital en educación. Covid-19, UNESCO, Google, Facebook y Microsoft. Teknokultura: Revista de Cultura Digital y Movimientos Sociales, 17(2), pp. 159-168. https://dialnet.unirioja.es/servlet/articulo?codigo=7568091
Šebo, M., & Hašková, A. (2020). How students perceive educational support through Facebook. Education and Self Development, 15(3), 67-75. https://doi.org/10.26907/esd15.3.06
Srinivasan, D. (2019). The antitrust case against Facebook: A monopolist's journey towards pervasive surveillance in spite of consumers' preference for privacy. Berkeley Bus. LJ, 16, 39. https://ssrn.com/abstract=3247362
Stokel-Walker C. (2022). Should I join Mastodon? A scientists' guide to Twitter's rival. Nature. https://doi.org/10.1038/d41586-022-03668-7
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