Abstract
Despite extensive research since the 1990s, empirical studies have reported inconsistent findings in terms of the effects of ICT use on student outcomes. This chapter reviews the research literature on students’ ICT use in school and at home and identifies the methodological issues that may lead to inconclusive and mixed findings. The chapter begins with a discussion of selection and omitted variable bias. This is followed by an examination of the measures of ICT access and use at home and in schools. We suggest that the considerable variation in the definitions and measures of ICT access, ICT use, and forms of educational technology used in research contributes to the inconsistent conclusions in empirical research and should receive more attention from scholars, educators, and policymakers. We also suggest that ICT use at a moderate level may have positive returns, but intensive ICT use could produce negative effects on student outcomes. Scholars should consider modeling the curvilinear relationship between ICT use and adolescent well-being in empirical analysis.
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References
Aagaard, J. (2017). Breaking down barriers: The ambivalent nature of technologies in the classroom. New Media & Society, 19(7), 1127–1143. https://doi.org/10.1177/1461444816631505
Agasisti, T., Gil-Izquierdo, M., & Han, S. W. (2020). ICT use at home for school-related tasks: What is the effect on a student’s achievement? Empirical evidence from OECD PISA data. Education Economics, 28(6), 601–620. https://doi.org/10.1080/09645292.2020.1822787
Angrist, J., & Lavy, V. (2002). New evidence on classroom computers and pupil learning. The Economic Journal, 112(482), 735–765.
Attewell, P. A. (2001). The first and second digital divides. Sociology of Education, 74(3), 252–259.
Attewell, P. A. (2003). Beyond the digital divide. In P. A. Attewell & N. M. Seel (Eds.), Disadvantaged teens and computer technologies (pp. 15–34). Waxmann.
Attewell, P. A., & Battle, J. (1999). Home computers and school performance. The Information Society, 15(1), 1–10.
Attewell, P. A., & Seel, N. M. (2003). Disadvantaged teens and computer technologies. Waxmann.
Attewell, P. A., Suazo-Garcia, B., & Battle, J. (2003). Computers and young children: Social benefit or social problem? Social Forces, 82(1), 277–296. https://doi.org/10.1353/sof.2003.0075
Balkin, J. M., & Sonnevend, J. (2016). The digital transformation of education. In C. Greenhow, J. Sonnevend, & C. Agur (Eds.), Education and social media: Toward a digital future (pp. 9–24). MIT Press. https://oxfordindex.oup.com/view/10.7551/mitpress/9780262034470.003.0003?lang=en, https://oxfordindex.oup.com:443/view/10.7551/mitpress/9780262034470.003.0003
Barrow, L., Markman, L., & Rouse, C. E. (2009). Technology’s edge: The educational benefits of computer-aided instruction. American Economic Journal: Economic Policy, 1(1), 52–74. https://doi.org/10.1257/pol.1.1.52
Beuermann, D., Cristia, J., Cruz-Aguayo, Y., Cueto, S., & Malamud, O. (2013). Home computers and child outcomes: Short-term impacts from a randomized experiment in Peru. NBER Working Paper Series, 18818. https://doi.org/10.3386/w18818
Biagi, F., & Loi, M. (2013). Measuring ICT use and learning outcomes: Evidence from recent econometric studies. European Journal of Education, 48, 28–42. https://doi.org/10.2307/23357044
Camerini, A.-L., Schulz, P. J., & Jeannet, A.-M. (2018). The social inequalities of Internet access, its use, and the impact on children’s academic performance: Evidence from a longitudinal study in Switzerland. New Media & Society, 20(7), 2489–2508. https://doi.org/10.1177/1461444817725918
Cheung, A. C. K., & Slavin, R. E. (2013). The effectiveness of educational technology applications for enhancing mathematics achievement in K-12 classrooms: A meta-analysis. Educational Research Review, 9, 88–113. https://doi.org/10.1016/j.edurev.2013.01.001
Coates, D., Humphreys, B. R., Kane, J., & Vachris, M. A. (2004). “No significant distance” between face-to-face and online instruction: Evidence from principles of economics. Economics of Education Review, 23(5), 533–546. https://doi.org/10.1016/j.econedurev.2004.02.002
Cristia, J., Ibarrarán, P., Cueto, S., Santiago, A., & Severín, E. (2017). Technology and child development: Evidence from the one laptop per child program. American Economic Journal: Applied Economics, 9(3), 295–320. https://doi.org/10.1257/app.20150385
Fairlie, R. W., Beltran, D. O., & Das, K. K. (2010). Home computers and educational outcomes: Evidence from the NLSY97 and CPS. Economic Inquiry, 48(3), 771–792. https://doi.org/10.1111/j.1465-7295.2009.00218.x
Fairlie, R. W., & London, R. A. (2012). The effects of home computers on educational outcomes: Evidence from a field experiment with community college students. The Economic Journal, 122(561), 727–753. https://doi.org/10.1111/j.1468-0297.2011.02484.x
Fairlie, R. W., & Robinson, J. (2013). Experimental evidence on the effects of home computers on academic achievement among schoolchildren. American Economic Journal: Applied Economics, 5(3), 211–240. https://doi.org/10.1257/app.5.3.211
Fariña, P., San Martín, E., Preiss, D. D., Claro, M., & Jara, I. (2015). Measuring the relation between computer use and reading literacy in the presence of endogeneity. Computers & Education, 80, 176–186. https://doi.org/10.1016/j.compedu.2014.08.010
Fuchs, T., & Wößmann, L. (2004). Computers and student learning: Bivariate and multivariate evidence on the availability and use of computers at home and at school. Brussels Economic Review, 47(3–4), 359–386.
Fuchs, T., & Wößmann, L. (2005). Computers and student learning: Bivariate and multivariate evidence on the availability and use of computers at home and at school (Ifo Working Paper 8). University of Munich. www.ifo.de
Fuchs, T., & Wößmann, L. (2007). What accounts for international differences in student performance? Empirical Economics, 32(2/3), 433–464. https://doi.org/10.1007/s00181-006-0087-0
Giacquinta, J. B., Bauer, J. A., & Levin, J. E. (1994). Beyond technology’s promise: An examination of children’s educational computing at home. Cambridge University Press.
Gonzales, A. L. (2015). The contemporary US digital divide: From initial access to technology maintenance. Information, Communication & Society, 19(2), 234–248. https://doi.org/10.1080/1369118X.2015.1050438
Gonzales, A. L., Calarco, J. M., & Lynch, T. (2020). Technology problems and student achievement gaps: A validation and extension of the technology maintenance construct. Communication Research, 47(5), 750–770. https://doi.org/10.1177/0093650218796366
Gubbels, J., Swart, N. M., & Groen, M. A. (2020). Everything in moderation: ICT and reading performance of Dutch 15-year-olds. Large-Scale Assessments in Education, 8(1), 17. https://doi.org/10.1186/s40536-020-0079-0
Hassoun, D. (2015). “All over the place”: A case study of classroom multitasking and attentional performance. New Media & Society, 17(10), 1680–1695. https://doi.org/10.1177/1461444814531756
Hu, X., Gong, Y., Lai, C., & Leung, F. K. S. (2018). The relationship between ICT and student literacy in mathematics, reading, and science across 44 countries: A multilevel analysis. Computers & Education, 125, 1–13. https://doi.org/10.1016/j.compedu.2018.05.021
Jackson, L. A., von Eye, A., Biocca, F. A., Barbatsis, G., Zhao, Y., & Fitzgerald, H. E. (2006). Does home internet use influence the academic performance of low-income children? Developmental Psychology, 42(3), 429–435. https://doi.org/10.1037/0012-1649.42.3.429
Jaggars, S. S., & Xu, D. (2016). How do online course design features influence student performance? Computers & Education, 95, 270–284. https://doi.org/10.1016/j.compedu.2016.01.014
James, J. (2010). New technology in developing countries: A critique of the one-laptop-per-child program. Social Science Computer Review, 28(3), 381–390. https://doi.org/10.1177/0894439309346398
Junco, R. (2012). In-class multitasking and academic performance. Computers in Human Behavior, 28(6), 2236–2243. https://doi.org/10.1016/j.chb.2012.06.031
Junco, R., & Cotten, S. R. (2011). Perceived academic effects of instant messaging use. Computers & Education, 56(2), 370–378. https://doi.org/10.1016/j.compedu.2010.08.020
Kennisnet. (2007). Vier in balans monitor, stand vanzaken over ict in het onderwijs. http://web.kennisnet2.nl/portal/onderzoek/onderzoeken/monitoring/fourinbalancemonitor
Malamud, O., & Pop-Eleches, C. (2011). Home computer use and the development of human capital. The Quarterly Journal of Economics, 126(2), 987–1027. https://doi.org/10.1093/qje/qjr008
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38(1), 43–52. https://doi.org/10.1207/s15326985ep3801_6
Mo, D., Swinnen, J., Zhang, L., Yi, H., Qu, Q., Boswell, M., & Rozelle, S. (2013). Can one-to-one computing narrow the digital divide and the educational gap in China? The case of Beijing migrant schools. World Development, 46, 14–29.
NSW. (2020, October 20). All NSW public schools to benefit from internet upgrades. NSW Government. https://education.nsw.gov.au/news/latest-news/all-nsw-public-schools-to-benefit-from-internet-upgrades
OECD. (2011). PISA 2009 results: Students on line: Digital technologies and performance (Vol. VI). OECD. https://doi.org/10.1787/9789264112995-en
OECD. (2017). PISA 2015 results (Vol. III): Students’ well-being. OECD. https://doi.org/10.1787/9789264273856-en
OECD. (2019). PISA 2018 results (Vol. II): Where all students can succeed. PISA, OECD. https://doi.org/10.1787/b5fd1b8f-en
OECD. (2020). Education responses to covid-19: Embracing digital learning and online collaboration. OECD. https://www.oecd.org/coronavirus/policy-responses/education-responses-to-covid-19-embracing-digital-learning-and-online-collaboration-d75eb0e8/
Orús, C., Barlés, M. J., Belanche, D., Casaló, L., Fraj, E., & Gurrea, R. (2016). The effects of learner-generated videos for YouTube on learning outcomes and satisfaction. Computers & Education, 95, 254–269. https://doi.org/10.1016/j.compedu.2016.01.007
Peck, C., Cuban, L., & Kirkpatrick, H. (2002). Techno-promoter dreams, student realities. Phi Delta Kappan, 83(6), 472–480. https://doi.org/10.1177/003172170208300614
Radovanović, D., Hogan, B., & Lalić, D. (2015). Overcoming digital divides in higher education: Digital literacy beyond Facebook. New Media & Society, 17(10), 1733–1749. https://doi.org/10.1177/1461444815588323
Scheerder, A. J., van Deursen, A. J., & van Dijk, J. A. (2017). Determinants of Internet skills, uses and outcomes: A systematic review of the second- and third-level digital divide. Telematics and Informatics, 34(8), 1607–1624. https://doi.org/10.1016/j.tele.2017.07.007
Schmitt, J., & Wadsworth, J. (2006). Is there an impact of household computer ownership on children’s educational attainment in Britain? Economics of Education Review, 25(6), 659–673. https://doi.org/10.1016/j.econedurev.2005.06.001
Schulz-Hardt, S., Frey, D., Lüthgens, C., & Moscovici, S. (2000). Biased information search in group decision making. Journal of Personality and Social Psychology, 78(4), 655–669. https://doi.org/10.1037//0022-3514.78.4.655
Tengtrakul, P., & Peha, J. M. (2013). Does ICT in schools affect residential adoption and adult utilization outside schools? Telecommunications Policy, 37(6), 540–562. https://doi.org/10.1016/j.telpol.2013.01.002
Thiessen, V., & Looker, D. (2007). Digital divides and capital conversion: The optimal use of information and communication technology for youth reading achievement. Information, Communication & Society, 10, 159–180. https://doi.org/10.1080/13691180701307370
UNESCO-UIS. (2014). Information and communication technology (ICT) in education in Asia: A comparative analysis of ICT integration and e-readiness in schools across Asia. United Nations Educational, Scientific and Cultural Organization, Institute for Statistics. http://uis.unesco.org/sites/default/files/documents/information-communication-technologies-education-asia-ict-integration-e-readiness-schools-2014-en_0.pdf
van der Schuur, W. A., Baumgartner, S. E., Sumter, S. R., & Valkenburg, P. M. (2020). Exploring the long-term relationship between academic-media multitasking and adolescents’ academic achievement. New Media & Society, 22(1), 140–158. https://doi.org/10.1177/1461444819861956
van Deursen, A. J., & van Dijk, J. A. (2019). The first-level digital divide shifts from inequalities in physical access to inequalities in material access. New Media & Society, 21(2), 354–375. https://doi.org/10.1177/1461444818797082
van Dijk, J. A. G. M., & van Deursen, A. J. (2014). Solutions: Learning digital skills. In J. A. G. M. van Dijk & A. J. van Deursen (Eds.), Digital skills: Unlocking the information society (pp. 113–138). Palgrave Macmillan US. https://doi.org/10.1057/9781137437037_6
Verbruggen, S., Depaepe, F., & Torbeyns, J. (2021). Effectiveness of educational technology in early mathematics education: A systematic literature review. International Journal of Child-Computer Interaction, 27. Scopus. https://doi.org/10.1016/j.ijcci.2020.100220
Vigdor, J. L., Ladd, H. F., & Martinez, E. (2014). Scaling the digital divide: Home computer technology and student achievement. Economic Inquiry, 52(3), 1103–1119. https://doi.org/10.1111/ecin.12089
Wainer, J., Vieira, P., & Melguizo, T. (2015). The association between having access to computers and Internet and educational achievement for primary students in Brazil. Computers & Education, 80, 68–76. https://doi.org/10.1016/j.compedu.2014.08.007
Warschauer, M., & Matuchniak, T. (2010). New technology and digital worlds: Analyzing evidence of equity in access, use, and outcomes. Review of Research in Education, 34(1), 179–225. https://doi.org/10.3102/0091732X09349791
Warschauer, M., & Newhart, V. A. (2016). Broadening our concepts of universal access. Universal Access in the Information Society, 15(2), 183–188. https://doi.org/10.1007/s10209-015-0417-0
Warschauer, M., & Xu, Y. (2018). Technology and equity in education. In J. Voogt, G. Knezek, R. Christensen, & K.-W. Lai (Eds.), Second handbook of information technology in primary and secondary education (pp. 1–17). Springer International Publishing. https://doi.org/10.1007/978-3-319-53803-7_76-1
Xu, D., & Jaggars, S. S. (2013). The impact of online learning on students’ course outcomes: Evidence from a large community and technical college system. Economics of Education Review, 37, 46–57. https://doi.org/10.1016/j.econedurev.2013.08.001
Yilmaz, F. G. K., & Keser, H. (2016). The impact of reflective thinking activities in e-learning: A critical review of the empirical research. Computers & Education, 95, 163–173. https://doi.org/10.1016/j.compedu.2016.01.006
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Ma, J.KH., Cheng, S. (2022). Research Literature on How Digital Inclusion Affects Adolescents’ Well-Being. In: Adolescent Well-Being and ICT Use. Human Well-Being Research and Policy Making. Springer, Cham. https://doi.org/10.1007/978-3-031-04412-0_2
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