Parents’ perceptions of their children’s smartphone use

  1. Pablo-César Muñoz-Carril 1
  2. Isabel Dans-Álvarez-de-Sotomayor 1
  3. Eduardo-José Fuentes-Abeledo 1
  4. María-Lidia Platas-Ferreiro 1
  1. 1 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Zeitschrift:
Culture and Education, Cultura y Educación

ISSN: 1135-6405 1578-4118

Datum der Publikation: 2022

Titel der Ausgabe: Aprendizaje extendido en la sociedad digital: combinación de entornos formales e informales

Ausgabe: 34

Nummer: 4

Seiten: 974-1001

Art: Artikel

DOI: 10.1080/11356405.2022.2102295 DIALNET GOOGLE SCHOLAR

Andere Publikationen in: Culture and Education, Cultura y Educación

Zusammenfassung

The aim of this study was to identify parents’ perceptions about how much and how often their primary school–aged children used mobile phones and what kinds of activities they used them for. The study used a quantitative methodology with a survey-based design. A total of 1,135 subjects participated. The results indicated that there were three main uses for mobile phones: social interaction, school- and information-related tasks, and leisure. Overall, the level of mobile phone use was low or moderate, with the consumption of video content and videogames standing out. Statistically significant differences, via MANOVA tests, were found between the types of uses and variables such as gender, school year, hours spent using the mobile phone each day and impact on school performance.

Informationen zur Finanzierung

Bibliographische Referenzen

  • American Academy of Pediatrics Council on Communications and Media. (2016). Media and young minds. Pediatrics, 138(5), e20162591.
  • Auxier, B., Anderson, M., Perrin, A., & Turner, E. (2020). Parenting children in the age of screens. Pew Research Center.
  • Bartau-Rojas, I., Aierbe Barandiaran, A., & Oregui González, E. (2020). Mediación parental del uso de internet desde una perspectiva de género. Revista Electrónica de Investigación Educativa, 22(1), 1–14.
  • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606.
  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Sage.
  • Can, T., Kucuk, S., & Simsek, I. (2020). Examining K-12 students’ preferences and attitudes on mobile learning. International Journal of Technology in Teaching and Learning, 15(2), 95–108.
  • Cartanyà-Hueso, À., Lidón-Moyano, C., Cassanello, P., Díez-Izquierdo, A., Martín Sánchez, J., Balaguer, A., & Martínez-Sánchez, J. (2021). Smartphone and tablet usage during COVID-19 pandemic confinement in children under 48 months in Barcelona. Healthcare, 9(1), 1–8.
  • Christakis, D. A., Ramirez, J. S. B., Ferguson, S. M., Ravinder, S., & Ramirez, J. M. (2018). How early media exposure may affect cognitive function: A review of results from observations in humans and experiments in mice. Proceedings of the National Academy of Sciences, 115(40), 9851–9858.
  • Cohen, L., & Manion, L. (2002). Métodos de investigación educativa. La Muralla.
  • Criollo-C, S., Guerrero-Arias, A., Jaramillo-Alcázar, Á., & Luján-Mora, S. (2021). Mobile learning technologies for education: Benefits and pending issues. Applied Sciences, 11(9), 4111.
  • Desmurget, M. (2020). La fábrica de cretinos digitales. Península.
  • Eurostat. (2021, May). Trust, security and privacy - smartphones.
  • Fernández, R., Álvarez, L. (2021). Estudio piloto de la percepción parental y de la infancia sobre el uso de las TIC en el tiempo libre: Repercusiones familiares y sociopersonales. In I. Aznar Díaz, J. A. López Núñez, M. P. Cáceres Reche, & C. de Barros Camargo (Coords.), Desempeño docente y formación en competencia digital en la era SARS COV 2 (pp. 368–380). Dykinson.
  • Finney, S. J., & Distefano, C. (2006). A second course in structural equation modeling. In G. R. Hancock, & R. O. Mueller (Eds.), Non-normal and categorical data in structural equation modeling (pp. 439–492). IAP Information Age Publishing.
  • Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491.
  • Genc, Z. (2014). Parent´s perceptions about the mobile technology use of preschool aged children. Procedia. Social and Behavioral Sciences, 156, 55–60.
  • González-Sanmamed, M., Muñoz-Carril, P. C., & Santos-Caamaño, F. J. (2019). Key components of learning ecologies: A delphi assessment. British Journal of Educational Technology, 50(4), 1639–1655.
  • Hadad, S., Meishar-Tal, H., & Blau, I. (2020). The parents’ tale: Why parents resist the educational use of smartphones at schools? Computers & Education, 157, 1–13.
  • Hair, J., Black, W. C., Babin, B., Anderson, R. E., & Tatham, R. (2006). Multivariate data analyses. Prentice-Hall.
  • Hansen, A. (2021). Insta-Brain. Cómo nos afecta la dependencia digital en la salud y en la felicidad. RBA.
  • Holgado, F. P., Chacón, S., Barbero, I., & Vila, E. (2010). Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables. Quality & Quantity: International Journal of Methodology, 44(1), 153–166.
  • Hosokawa, R., & Katsura, T. (2018). Association between mobile technology use and child adjustment in early elementary school age. PLoS ONE, 13(7), 1–17.
  • INE. (2020). Encuesta sobre equipamiento y uso de tecnologías de información y comunicación en los hogares.
  • Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International.
  • Jöreskog, K. G., Sörbom, D., Du Totit, S., & Du Toit, M. (2001). LISREL 8: New statistical features. Scientific Sofware International.
  • Kabali, H. K., Irigoyen, M. M., Nunez-Davis, R., Budacki, J. G., Mohanty, S. H., Leister, K. P., & Bonner, R. L. (2015). Exposure and use of mobile media devices by young children. Pediatrics, 136(6), 1044–1050.
  • Kates, A. W., Wu, H., & Coryn, C. L. (2018). The effects of mobile phone use on academic performance: A meta-analysis. Computers & Education, 127, 107–112.
  • Kim, D., & Jahng, K. E. (2019). Children’s self-esteem and problematic smartphone use: The moderating effect of family rituals. Journal of Child and Family Studies, 28(12), 3446–3454.
  • Kulakci-Altintas, H. (2020). Technological device use among 0-3 year old children and attitudes and behaviors of their parents towards technological devices. Journal of Child and Family Studies, 29(1), 55–61.
  • Lee, M., & Park, S. (2018). Factors associated with smartphone overdependency in preschool children. Child Health Nursing Research, 24(4), 383–392.
  • Li, C. H. (2016). The performance of ML, DWLS, and ULS estimation with robust corrections in structural equation models with ordinal variables. Psychological Methods, 21(3), 369–387.
  • Madigan, S., Browne, D., Racine, N., Mori, C., & Tough, S. (2019). Association between screen time and children’s performance on a developmental screening test. JAMA Pediatrics, 173(3), 244–250.
  • Martínez, G., Casado, M. Á., & Garitaonandia, C. (2020). Estrategias online de mediación parental en contextos familiares de España. Comunicar: Revista Científica de Comunicación y Educación, 28(65), 67–76.
  • McMillan, J., & Schumacher, S. (2005). Investigación educativa. Pearson Addison Wesley.
  • Morata-Ramírez, M. A., Holgado-Tello, F. P., Barbero-García, I., & Méndez, G. (2015). Análisis Factorial Confirmatorio. Recomendaciones sobre Mínimos Cuadrados No Ponderados en función del error Tipo I de Ji-cuadrado y RMSEA. Acción Psicológica, 12(1), 79–90.
  • Observatorio Nacional de Telecomunicaciones y de la Sociedad de la Información (Ed.) (2019). Indicadores sobre uso de TIC por menores en España
  • Ochoa, W., & Reich, S. M. (2020). Parents’ beliefs about the benefits and detriments of mobile screen technologies for their young children’s learning: A focus on diverse latine mothers and fathers. Frontiers in Psychology, 11(570712), 1–14.
  • Ofcom. (2021). Children and parents: Media use and attitudes report 2020/21.
  • Pew Research Center. (2018). Many turn to youtube for children’s content, news, how-to lessons.
  • Pew Research Center. (2021). Mobile technology and home broadband 2021.
  • Radesky, J. S., Schaller, A., Yeo, S. L., Weeks, H. M., & Robb, M. B. (2020). Young kids and YouTube: How ads, toys, and games dominate viewing. Common Sense Media.
  • Rideout, V., & Robb, M. B. (2020). The common sense census: Media use by kids age zero to eight, 2020. Common Sense Media.
  • Sabater, C., & Fernández, J. B. (2015). Estereotipos de género y uso de las nuevas tecnologías. Icono, 14(13), 208–246.
  • Serra, G., Lo Scalzo, L., Giuffrè, M., Ferrara, P., & Corsello, G. (2021). Smartphone use and addiction during the coronavirus disease 2019 (COVID-19) pandemic: Cohort study on 184 Italian children and adolescents. Italian Journal of Pediatrics, 47(150), 1–10.
  • Şimşek, G. G., & Noyan, F. (2012). Structural equation modeling with ordinal variables: A large sample case study. Quality & Quantity: International Journal of Methodology, 46(5), 1571–1581.
  • Smahel, D., Machackova, H., Mascheroni, G., Dedkova, L., Staksrud, E., Ólafsson, K., Livingstone, S., & Hasebrink, U. (2020). EU kids online 2020: Survey results from 19 countries. EU Kids Online.
  • Sola Reche, J. M., García Vidal, M., & Ortega Navas, M. (2019). Las implicaciones del uso de dispositivos móviles en el proceso de enseñanza aprendizaje en alumnos de 5° y 6° de primaria. Pixel-bit, 55(55), 117–131.
  • Son, H.-G., Cho, H. J., & Jeong, K.-H. (2021). The effects of korean parents’ smartphone addiction on korean children’s smartphone addiction: Moderating effects of children’s gender and age. International Journal of Environmental Research and Public Health, 18(13), 6685.
  • Steiger, J. H. (2016). Notes on the Steiger–Lind (1980) handout. Structural Equation Modeling: A Multidisciplinary Journal, 23(6), 777–781.
  • Suarez, J. L. (2020). La condición digital. Revista de Occidente, 472, 2–20.
  • Syvaoja, H. J., Kantomaa, M., Ahonen, T., Hakonen, H., Kankaanpää, A., & Tammelin, T. (2013). Physical activity, sedentary behavior, and academic performance in Finnish children. Medicine & Science in Sports & Exercise, 45(11), 2098–2104.
  • Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics. HarperCollins.
  • Tamana, S. K., Ezeugwu, V., Chikuma, J., Lefebvre, D. L., Azad, M. B., Moraes, T. J., Subbarao, P., Becker, A., Turvey, S., Sears, M., Dick, B., Carson, V., Rasmussen, C., Pei, J., & Mandhane, P. (2019). Screen-time is associated with inattention problems in preschoolers: Results from the CHILD birth cohort study. PLoS ONE, 14(4), 1–15.
  • Uribe-Zapata, A. (2018). Concepto y prácticas de educación expandida: Una revisión de la literatura académica. El Ágora U.S.B, 18(1), 278–293.
  • Vázquez, B., & López, R. (2021). Análisis crítico del concepto “aprendizaje ubicuo” a través de la Cartografía Conceptual. RED. Revista de Educación a Distancia, 66(21), 1–28.
  • Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behavior Research Methods, 51(1), 409–428.