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Home Use of Digital Technologies by Teens: The Role of Family, School, and Peers

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Part of the book series: Young People and Learning Processes in School and Everyday Life ((YPLP,volume 6))

Abstract

The use of digital technologies is an important part of life for most adolescents. Digital technologies can play a role of varying significance in their everyday lives, and the adolescents may use the digital technologies in differing degrees. In this chapter, we focus on investigating and uncovering various factors, such as the personality characteristics of the adolescents, family background, the use of digital technologies in school, and the use of digital technologies in communication with peers, that can contribute to explaining the degrees of use of ICT by present-day (Czech) adolescents. We focus on the use of digital technologies outside of school, specifically in the home environment, maintaining the important distinction in the use of digital technologies for leisure activities and the use of digital technologies for school activities such as homework.

In the first part of the chapter, we state the topic of the chapter and gradually present various aspects that the existing research indicates can play important roles in the use of digital technologies by present-day fifteen-year-olds. We then describe a conceptual model that we use in the subsequent analyses. We present research questions, and we describe the methodology of this part of the research, including a basic description of the individual variables used in the analyses. In the subchapters, we present the results of the analyses and we provide answers to the set research questions. In the final part, we summarize our findings and set them in a wider context.

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Notes

  1. 1.

    In this case, we refer to a variable that concerns the interactions mediated by technologies (i.e. performed through technologies), and also generally interactions that concern technologies (for example, when adolescents speak face-to-face about digital technologies with their friends).

Bibliography

  • Aesaert, K., & van Braak, J. (2015). Gender and socioeconomic related differences in performance based ICT competences. Computers & Education, 84, 8–25. https://doi.org/10.1016/j.compedu.2014.12.017

    Article  Google Scholar 

  • Aesaert, K., Nijlen, D. V., Vanderlinde, R., Tondeur, J., Devlieger, I., & van Braak, J. (2015). The contribution of pupil, classroom and school level characteristics to primary school students’ ICT competences: A performance-based approach. Computers & Education, 87, 55–69. https://doi.org/10.1016/j.compedu.2015.03.014

    Article  Google Scholar 

  • Alkan, M., & Meinck, S. (2016). The relationship between students’ use of ICT for social communication and their computer and information literacy. Large-Scale Assessments in Education, 4(1), 1–17. https://doi.org/10.1186/s40536-016-0029-z

    Article  Google Scholar 

  • Arnseth, H. C., Erstad, O., Juhaňák, L., & Zounek, J. (2016). Pedagogika a nové výzvy výzkumu ICT: Role digitálních technologií v každodenním životě a učení mládeže [Pedagogy and new challenges in ICT research: On the role of digital technologies in everyday life and youth learning]. Studia Paedagogica, 21(1), 87–110. https://doi.org/10.5817/SP2016-1-5

    Article  Google Scholar 

  • Baker, E. H. (2014). Socioeconomic status, definition. In W. A. Cockerham, R. Dingwall, & S. R. Quash (Eds.), The Wiley Blackwell encyclopedia of health, illness, behavior, and society (pp. 2210–2214). Wiley-Blackwell.

    Chapter  Google Scholar 

  • Bernstein, B. (1971). Class, codes and control. Routledge & Kegan Paul.

    Google Scholar 

  • Bourdieu, P. (1986). The forms of capital. In J. G. Richardson (Ed.), Handbook of theory and research for the sociology of education (pp. 241–258). Greenwood Press.

    Google Scholar 

  • Chaudron, S., Di Gioia, R., & Gemo, M. (2018). Young children (0–8) and digital technology: A qualitative study across Europe. Publications Office of the European Union.

    Google Scholar 

  • Christoph, G., Goldhammer, F., Zylka, J., & Hartig, J. (2015). Adolescents’ computer performance: The role of self-concept and motivational aspects. Computers & Education, 81, 1–12. https://doi.org/10.1016/j.compedu.2014.09.004

    Article  Google Scholar 

  • Conrads, J., Rasmussen, M., Winters, N., Geniet, A., & Langer, L. (2017). Digital education policies in Europe and beyond: Key design principles for more effective policies. Publications Office of the European Union. https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/digital-education-policies-europe-and-beyond-key-design-principles-more-effective-policies

    Google Scholar 

  • De Wit, K., Heerwegh, D., & Verhoeven, J. C. (2012). Changes in the basic ICT skills of freshmen between 2005 and 2009: Who’s catching up and who’s still behind? Education and Information Technologies, 17(2), 205–231.

    Article  Google Scholar 

  • Drabowicz, T. (2014). Gender and digital usage inequality among adolescents: A comparative study of 39 countries. Computers & Education, 74, 98–111. https://doi.org/10.1016/j.compedu.2014.01.016

    Article  Google Scholar 

  • Duncan, G. J., & Brooks–Gunn, J. (1997). Income effects across the life span: Integration and interpretation. In G. J. Duncan & J. Brooks–Gunn (Eds.), Consequences of growing up poor (pp. 596–610). Russell Sage Foundation.

    Google Scholar 

  • Duncan, O. D., Featherman, D. L., & Duncan, B. (1972). Socio-economic background and achievement. Seminar Press.

    Google Scholar 

  • Entwisle, D. R., & Astone, N. M. (1994). Some practical guidelines for measuring youth’s race/ethnicity and socioeconomic status. Child Development, 65(6), 1521–1540. https://doi.org/10.2307/1131278

    Article  Google Scholar 

  • Erstad, O. (2011). Weaving the context of digital literacy. In S. R. Ludvigsen, A. Lund, I. Rasmussen, & R. Säljö (Eds.), Learning across sites new tools, infrastructures and practices (pp. 295–308). Routledge.

    Google Scholar 

  • Erstad, O. (2012). The learning lives of digital youth—Beyond the formal and informal. Oxford Review of Education, 38(1), 25–43. https://doi.org/10.1080/03054985.2011.577940

    Article  Google Scholar 

  • Fraillon, J., Ainley, J., Schulz, W., Friedman, T., & Gebhardt, E. (2014). Preparing for life in a digital age: The IEA international computer and information literacy study international report. Springer International Publishing. https://doi.org/10.1007/978-3-319-14222-7

    Book  Google Scholar 

  • García, E., & Weiss, E. (2017). Education inequalities at the school starting gate. Economic Policy Institute. https://www.epi.org/publication/education-inequalities-at-the-school-starting-gate/

    Google Scholar 

  • Goldhammer, F., Gniewosz, G., & Zylka, J. (2016). ICT engagement in learning environments. In S. Kuger, E. Klieme, N. Jude, & D. Kaplan (Eds.), Assessing contexts of learning: An international perspective (pp. 331–351). Springer International Publishing. https://doi.org/10.1007/978-3-319-45357-6

    Chapter  Google Scholar 

  • Gorski, P. (2005). Education equity and the digital divide. Association for the Advancement of Computers in Education Journal, 13(1), 3–45.

    Google Scholar 

  • Gottfried, A. (1985). Measures of socioeconomic status in child development research: Data and recommendations. Merrill-Palmer Quarterly, 31(1), 85–92.

    Google Scholar 

  • Hargittai, E., & Shafer, S. (2006). Differences in actual and perceived online skills: The role of gender. Social Science Quarterly, 87(2), 432–448. https://doi.org/10.1111/j.1540-6237.2006.00389.x

    Article  Google Scholar 

  • Harris, C., Straker, L., & Pollock, C. (2017). A socioeconomic related ‘digital divide’ exists in how, not if, young people use computers. PLoS One, 12(3), 1–13.

    Google Scholar 

  • Hatlevik, O. E., & Christophersen, K.-A. (2013). Digital competence at the beginning of upper secondary school: Identifying factors explaining digital inclusion. Computers & Education, 63, 240–247. https://doi.org/10.1016/j.compedu.2012.11.015

    Article  Google Scholar 

  • Hatlevik, O. E., Guðmundsdóttir, G. B., & Loi, M. (2015). Digital diversity among upper sec-ondary students: A multilevel analysis of the relationship between cultural capital, self-efficacy, strategic use of information and digital competence. Computers & Education, 81, 345–353. https://doi.org/10.1016/j.compedu.2014.10.019

    Article  Google Scholar 

  • Hatlevik, O. E., Throndsen, I., Loi, M., & Guðmundsdóttir, G. B. (2018). Students’ ICT self-efficacy and computer and information literacy: Determinants and relationships. Computers & Education, 118, 107–119. https://doi.org/10.1016/j.compedu.2017.11.011

    Article  Google Scholar 

  • Hauser, R. M. (1994). Measuring socioeconomic status in studies of child development. Child Development, 65(6), 1541–1545.

    Article  Google Scholar 

  • Heck, R. H., & Thomas, S. L. (2015). An introduction to multilevel modeling techniques: MLM and SEM approaches using Mplus. Taylor & Francis.

    Book  Google Scholar 

  • Itō, M. (Ed.). (2009). Living and learning with new media: Summary of findings from the digital youth project. MIT Press.

    Google Scholar 

  • Juhaňák, L., Zounek, J., Záleská, J., Bárta, O., & Vlčková, K. (2019). The relationship between the age at first computer use and students’ perceived competence and autonomy in ICT usage: A mediation analysis. Computers & Education, 141, 1–14. https://doi.org/10.1016/j.compedu.2019.103614

    Article  Google Scholar 

  • Kim, P., et al. (2011). Socioeconomic strata, mobile technology, and education: A comparative analysis. Educational Technology Research and Development, 59(4), 465–486.

    Article  Google Scholar 

  • Knobel, M., & Kalman, J. (Eds.). (2016). New literacies and teacher learning: Professional development and the digital turn. Peter Lang.

    Google Scholar 

  • Lankshear, C., & Knobel, M. (2008). Digital literacies: Concepts, policies and practices. Peter Lang.

    Google Scholar 

  • Livingstone, S., & Helsper, E. (2007). Gradations in digital inclusion: Children, young people and the digital divide. New Media & Society, 9(4), 671–696. https://doi.org/10.1177/1461444807080335

    Article  Google Scholar 

  • Livingstone, S., Mascheroni, G., Dreier, M., Chaudron, S., & Lagae, K. (2015). How parents of young children manage digital devices at home: The role of income, education and parental style. EU Kids Online, LSE.

    Google Scholar 

  • Looker, E. D., & Thiessen, V. (2003). Beyond the digital divide in Canadian schools: From access to competency in the use of information technology. Social Science Computer Review, 21(4), 475–490.

    Article  Google Scholar 

  • Martin, A., & Grudziecki, J. (2006). DigEuLit: Concepts and tools for digital literacy development. Innovation in Teaching and Learning in Information and Computer Sciences, 5(4), 249–267. https://doi.org/10.11120/ital.2006.05040249

    Article  Google Scholar 

  • McKenney, S., & Voogt, J. (2010). Technology and young children: How 4-7 years old perceive their own use of computers. Computers in Human Behavior, 26, 656–664.

    Article  Google Scholar 

  • Mueller, C. W., & Parcel, T. L. (1981). Measures of socioeconomic status: Alternatives and recommendations. Child Development, 52, 13–30.

    Article  Google Scholar 

  • Nathanson, A. I. (2015). Media and the family: Reflections and future directions. Journal of Children and Media, 9(1), 133–139. https://doi.org/10.1080/17482798.2015.997145

    Article  Google Scholar 

  • Robinson, P. (1998). Equity and access to computer technology for grades K-12. In B. L. Ebo (Ed.), Cyberghetto or cybertopia. Race, class and gender on the internet (pp. 137–151). Praeger.

    Google Scholar 

  • Rohatgi, A., Scherer, R., & Hatlevik, O. E. (2016). The role of ICT self-efficacy for students’ ICT use and their achievement in a computer and information literacy test. Computers & Education, 102, 103–116. https://doi.org/10.1016/j.compedu.2016.08.001

    Article  Google Scholar 

  • Scherer, R., & Siddiq, F. (2019). The relation between students’ socioeconomic status and ICT literacy: Findings from a meta-analysis. Computers & Education, 138, 13–32.

    Article  Google Scholar 

  • Scherer, R., Rohatgi, A., & Hatlevik, O. E. (2017). Students’ profiles of ICT use: Identification, determinants, and relations to achievement in a computer and information literacy test. Computers in Human Behavior, 70, 486–499. https://doi.org/10.1016/j.chb.2017.01.034

    Article  Google Scholar 

  • Schmeer, K. K., & Yoon, A. (2016). SES inequalities in low-grade inflammation during childhood. Archives of Disease in Childhood, 101(11), 1043–1047.

    Article  Google Scholar 

  • Sefton-Green, J., Nixon, H., & Erstad, O. (2009). Reviewing approaches and perspectives on “digital literacy”. Pedagogies, 4(2), 107–125. https://doi.org/10.1080/15544800902741556

    Article  Google Scholar 

  • Senkbeil, M., & Ihme, J. M. (2017). Motivational factors predicting ICT literacy: First evidence on the structure of an ICT motivation inventory. Computers & Education, 108(1), 145–158.

    Article  Google Scholar 

  • Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel analysis: An introduction to basic and ad-vanced multilevel modeling. Sage Publications.

    Google Scholar 

  • Tang, J. (2015). Family socioeconomic status and personal media technology use [Master thesis]. Middle Tennessee State University. https://jewlscholar.mtsu.edu/bitstream/handle/mtsu/4470/Tang_mtsu_0170N_10373.pdf

  • Thomson, S. (2018). Achievement at school and socioeconomic background – And educational perspective. Science of Learning, 3(5), 1–5. https://doi.org/10.1038/s41539-018-0022-0

    Article  Google Scholar 

  • Tondeur, J., Sinnaeve, I., van Houtte, M., & van Braak, J. (2011). ICT as cultural capital: The relationship between socioeconomic status and the computer-use profile of young people. New Media & Society, 13(1), 151–168.

    Article  Google Scholar 

  • Torres, R. (2016). Tackling inequality? Teacher effects and the socioeconomic gap in educational achievement. Evidence from Chile. An International Journal of Research, Policy and Practice, 29(3), 383–417.

    Google Scholar 

  • Tsitouridou, M., & Vryzas, K. (2011). Digital literacies: Definitions, concepts and educational implications. In L. K. Stergioulas & H. Drenoyianni (Eds.), Pursuing digital literacy in compulsory education (pp. 3–46). Peter Lang.

    Google Scholar 

  • van Braak, J., & Kavadias, D. (2005). The influence of social-demographic determinants on secondary school children’s computer use, experience, beliefs and competence. Technology, Pedagogy and Education, 14(1), 43–59.

    Article  Google Scholar 

  • Vekiri, I. (2010). Socioeconomic differences in elementary students’ ICT beliefs and out-of-school experiences. Computers & Education, 54(4), 941–950. https://doi.org/10.1016/j.compedu.2009.09.029

    Article  Google Scholar 

  • Verhoeven, J. C., Heerwegh, D., & De Wit, K. (2016). ICT learning experience and research orientation as predictors of ICT skills and the ICT use of university students. Education and Information Technologies, 21(1), 71–103.

    Article  Google Scholar 

  • Volante, L., Schnepf, S. V., Jerrim, J., & Klinger, D. A. (2019). Socioeconomic inequality and student outcomes: Cross-national trends, policies, and practices. Springer Nature Singapore.

    Book  Google Scholar 

  • Zylka, J., Christoph, G., Kroehne, U., Hartig, J., & Goldhammer, F. (2015). Moving beyond cognitive elements of ICT literacy: First evidence on the structure of ICT engagement. Computers in Human Behavior, 53, 149–160. https://doi.org/10.1016/j.chb.2015.07.008

    Article  Google Scholar 

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Table 5.8 Correlation matrix of the variables used in the analysis

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Zounek, J., Juhaňák, L., Záleská, K. (2022). Home Use of Digital Technologies by Teens: The Role of Family, School, and Peers. In: Life and Learning of Digital Teens. Young People and Learning Processes in School and Everyday Life, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-030-90040-3_5

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  • DOI: https://doi.org/10.1007/978-3-030-90040-3_5

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