Tamaño e Intensidad de uso de las Redes Sociales Digitales¿Cómo se Relacionan con las Habilidades Personales y Sociales Percibidas por los Universitarios?
-
1
Universidad de Oviedo
info
- 2 Universidad de Oviedo (España)
ISSN: 1130-2496, 1988-2793
Year of publication: 2024
Volume: 35
Issue: 2
Pages: 227-237
Type: Article
More publications in: Revista complutense de educación
Abstract
Existen una serie de habilidades de carácter personales y sociales que presumiblemente resultan relevantes no sólo en la interacción cara a cara sino también a través de las redes sociales digitales (RSD). El presente trabajo analiza el perfil de interacción en RSD en base al sexo, la edad, el tamaño de las RSD y la intensidad de su uso. Además, se analiza las habilidades personales y sociales en RSD percibidas por un grupo de universitarios y en qué medida variables como el sexo, la edad, el tamaño de las RSD y la intensidad de su uso, predicen las habilidades personales y sociales en RSD. Participaron en el estudio un total de 257 universitarios que completaron el Cuestionario de Percepción de Habilidades Personales y Sociales en RSD. Los resultados reflejaron que los hombres poseían RSD de mayor tamaño, mientras que la intensidad de uso era superior en las mujeres. En lo que se refiere a la edad, aquellos universitarios más jóvenes poseían RSD con mayor tamaño y más intensidad de uso. De igual modo, los universitarios indicaron que ponían en juego en mayor medida habilidades personales con el uso de las RSD en detrimento de las habilidades sociales, y estas habilidades no se relacionaban con el sexo ni con la edad, pero sí con el tamaño e intensidad de uso de las RSD. En definitiva, quienes cuenten con redes más amplias y con mayores posibilidades de interacción, alcanzarían un mejor nivel de habilidades personales, mientras que quienes dedican más tiempo, podrían fomentar sus habilidades sociales en el marco de las RSD.
Bibliographic References
- Abu-Taieh, E. M., AlHadid, I., Masa’deh, R. E., Alkhawaldeh, R. S., Khwaldeh, S., & Alrowwad, A. A. (2022). Factors Affecting the Use of Social Networks and Its Effect on Anxiety and Depression among Parents and Their Children: Predictors Using ML, SEM and Extended TAM. International Journal of Environmental Research and Public Health, 19(21), 13764. https://doi.org/10.3390/ijerph192113764
- Alaslani, K., & Alandejani, M. (2020). Identifying factors that influence student’s performance through social networking sites: An exploratory case study. Heliyon, 6(4), 36–86. https://doi.org/10.1016/j.heliyon.2020.e03686
- Álvarez-García, David, Núñez, J. C., Barreiro-Collazo, A., & García, T. (2017). Validation of the Cybervictimization Questionnaire (CYVIC) for adolescents. Computers in Human Behavior, 70, 270–281.http://dx.doi.org/10.1016/j.chb.2017.01.007
- Arbuckle J. L. (2013). Amos 22 user’s guide. SPSS. IBMHu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
- Arrivillaga, C., Rey, L., & Extremera, N. (2020). Adolescents’ problematic internet and smartphone use is related to suicide ideation: Does emotional intelligence make a difference? Computers in Human Behavior, 110, Article e106375. https://doi.org/10.1016/j.chb.2020.106375
- Baker-Doyle, K. J., & Yoon, S. A. (2020). The social side of teacher education: Implications of social network research for the design of professional development. International Journal of Educational Research, 101, 563–568. https://doi.org/10.1016/j.ijer.2020.101563
- Bar-On, R. (2010). Emotional intelligence: An integral part of positive psychology. South African Journal of Psychology, 40(1), 54–62. https://doi.org/10.1177/008124631004000106
- Berlanga, M. C. L., & Romero, C. S. (2019). The interaction and digital coexistence of students in social networks. Revista Nacional e Internacional de Educación Inclusiva, 12(2), 114–130.
- Bisen, S. S., Deshpande, Y., & Haridas, K. (2019). Does personality traits predict excessive use of internet technology among engineering students? Simple mediation analysis. International Journal of Electrical Engineering Education, 60(1). https://doi.org/10.1177/0020720919894198
- Blakemore, T., & Agllias, K. (2020). Social media, empathy and interpersonal skills: social work students’ reflections in the digital era. Social Work Education, 39(2), 200–213. https://doi.org/10.1080/02615479.2019.1619683
- Chang, P. F., Choi, Y. H., Bazarova, N. N., & Löckenhoff, C. E. (2015). Age differences in online social networking: Extending socioemotional selectivity theory to social network sites. Journal of Broadcasting & Electronic Media, 59(2), 221–239. https://doi.org/10.1080/08838151.2015.1029126
- Cebollero-Salinas, A., Cano-Escoriaza, J., & Orejudo, S. (2022). Are emotional e-competencies a protective factor against habitual digital behaviors (media multitasking, cybergossip, phubbing) in Spanish students of secondary education? Computers & Education, 181, Article e104464. https://doi.org/10.1016/j.compedu.2022.104464
- Cifre, E., Santamaría-Dávila, J., & Rosel, J. F. (2022). Self-attributed facial prominence on social networks through one’s own photography: Effect of type of network, age and gender. Anales de Psicología, 38(2), 336–346. https://doi.org/10.6018/analesps.474721
- Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd ed). Lawrence ErlbaumDolby, N. (2014). The future of empathy: Teaching the millennial generation. Journal of College & Character, 15(1), 39–44. https://doi.org/10.1515/jcc-2014-0006
- Domínguez, J., & Ybañez, V. (2016). Adicción a las redes sociales y habilidades sociales en estudiantes de una institución educativa privada. Propósitos y Representaciones, 4(2), 181–230. https://doi.org/10.20511/pyr2016.v4n2.122
- Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11
- Forest, A., & Wood, J. (2012). When social networking is not working: Individuals with low self-esteem recognize but do not reap the benefits of self-disclosure on Facebook. Psychology Science, 23(3), 295–302. https://doi.org/10.1177/0956797611429709
- Gerasimova, V. (2018). Emotional Intelligence. Modern Journal of Language Teaching Methods, 8(11), 600–608. https://doi.org/10.26655/mjltm.2018.11.1
- Gneiser, M., Heidemann, J., Klier, M., Landherr, A., & Pobst, F. (2012). Valuation of online social networks taking into account users’ interconnectedness. Information Systems and e-Business Management, 10(1), 61–84. https://doi.org/10.1007/s10257-010-0153-1
- Goleman, D. (2010). Inteligencia emocional. Editorial Kairós.
- Gökel, Ö., & Dağlı, G. (2017). Effects of social skill training program on social skills of young people. Eurasia Journal of Mathematics, Science and Technology Education, 13(11), 7365–73373. https://doi.org/10.12973/ejmste/79615
- Hernández, R., Fernández, C., & Baptista L. (2013). Metodología de la investigación. McGraw-Hill.
- Husain, W., Inam, A., Wasif, S., & Zaman, S. (2022). Emotional intelligence: Emotional expression and emotional regulation for intrinsic and extrinsic emotional satisfaction. Psychology Research and Behavior Management, 15, 3901–3913. https://doi.org/10.2147/PRBM.S396469
- IABSpain. (2021). Estudio de redes sociales. Elogia.Instituto Nacional de Estadística. (2022). Población que usa Internet de manera frecuente (al menos una vez a la semana). Instituto Nacional de Estadística. Recuperado febrero 12, 2022, de: https://www.ine.es/ss/Satellite?L=es_ES&c=INESeccion_C&cid=1259925528559&p=%5C&pagename=ProductosYServicios%2FPYSLayout
- Kim, S., & Yoo, S. J. (2016). Age and gender differences in social networking: Effects on south Korean students in higher education. Social Networking and Education, 69–82. https://doi.org/10.1007/978-3-319-17716-8_5
- Kline, R. B. (2011). Principles and practice of structural equation modelling. Guilford Press.
- Konrath, S., O’Brien, E., & Hsing, C. (2011). Changes in dispositional empathy in American college students over time: A meta-analysis. Personality and Social Psychology Review, 15(2), 180–198. https://doi.org/10.1177/1088868310377395
- Lenhard, W., & Lenhard, A. (2016). Computation of effect sizes. Psychometrica Retrieved from: https://www.psychometrica.de/effect_size.html
- Manago, A., Taylor, T., & Greenfield, P. (2012). Me and my 400 friends: The anatomy of college students’ Facebook networks, their communication patterns, and well-being. Developmental Psychology, 48(2), 369–380. https://doi.org/10.1037/a0026338
- Mayer, J., & Salovey, P. (1997). What is emotional intelligence? In P. Salovey & D. J. Sluyter (Eds.), Emotional development and emotional intelligence: Educational implications (pp. 232–242). Basic Books.
- Mazman, S. G., & Usluel, Y. K. (2011). Gender differences in using social networks. TOJET: The Turkish Online Journal of Educational Technology, 10(2), 133–139.
- Meşe, C., & Sancak-Aydın, G. (2019). The use of social networks among university students. Educational Research and Reviews, 14(6), 190–199. https://doi.org/10.5897/ERR2018.3654
- Miller, R., & Melton, J. (2015). College students and risk-taking behaviour on Twitter versus Facebook. Behaviour and Information Technology, 34(7), 678–684. https://doi.org/10.1080/0144929X.2014.1003325
- Morris, K. (2013). Revising the Declaration of Helsinki. World Report, 381, 1889–1890. https://doi.org/10.1016/S0140-6736(13)60951-4
- Pastor, Y., García-Jiménez, A., & López-de-Ayala, M. C. (2022). Regulatory strategies for smartphone use and problematic internet use in adolescence. Anales de Psicología, 38(2), 269–277. https://doi.org/10.6018/analesps.461771
- Santisteban, A., Díez-Bedmar, M. C., & Castellví, J. (2020). Critical digital literacy of future teachers in the Twitter Age. Culture and Education, 32(2), 185–212. https://doi.org/10.1080/11356405.2020.1741875
- Scott, N., & Goode, D. (2020). The use of social media (some) as a learning tool in healthcare education: An integrative review of the literature. Nurse Education Today, 87, Article e104357. https://doi.org/10.1016/j.nedt.2020.104357
- Valerio-Ureña, G., & Serna-Valdivi, R. (2018). Social networks and psychological well-being of college students. Revista Electrónica de Investigación Educativa, 20(3), 19–28. https://doi.org/10.24320/redie.2018.20.3.1796