Insights from a Catholic school’s transition to distance learning during Covid-19

References

• Andrew, A., Cattan, S., Costa Dias, M., Farquharson, C., Kraftman, L., Krutikova, S., Phimister, A., & Sevilla, A. (2020a). Learning during the lockdown: Real-time data on children’s experiences during home learning (briefing Note no. BN288). Institute for Fiscal Studies (IFS).
   Google Scholar
• Andrew, A., Cattan, S., Costa Dias, M., Farquharson, C., Kraftman, L., Krutikova, S., Phimister, A., & Sevilla, A. (2020b). Inequalities in children’s experiences of home learning during the COVID-19 lockdown in England. Fiscal studies, 41(3), 653–683. https://doi.org/10.1111/1475-5890.12240
   PubMed Web of Science ®Google Scholar
• Aristeidou, M., & Cross, S. (2021). Disrupted distance learning: The impact of Covid-19 on study habits of distance learning university students. Open Learning: The Journal of Open, Distance and E-Learning, 36(3), 263–282. https://doi.org/10.1080/02680513.2021.1973400
   Web of Science ®Google Scholar
• Arsendy, S., Gunawan, C. J., Rarasati, N., & Suryadarma, D. (2020). Teaching and learning during school closure: Lessons from Indonesia. ISEAS Yusof Ishak Institute, 2020(89), 1–11.
   Google Scholar
• Aucejo, E. M., French, J. F., Araya, M. P. U., & Zafar, B. (2020). The impact of COVID-19 on student experiences and expectations: Evidence from a survey. Journal of Public Economics, 191, 104271. https://doi.org/10.1016/j.jpubeco.2020.104271
   PubMed Web of Science ®Google Scholar
• Azubuike, O. B., Adegboye, O., & Quadri, H. (2021). Who gets to learn in a pandemic? Exploring the digital divide in remote learning during the COVID-19 pandemic in Nigeria. International Journal of Educational Research Open, 2(2), 100022. . https://doi.org/10.1016/j.ijedro.2020.100022
   PubMedGoogle Scholar
• Bacher-Hicks, A., Goodman, J., & Mulhern, C. (2021). Inequality in household adaptation to schooling shocks: Covid-induced online learning engagement in real time. Journal of Public Economics, 193, 104345. https://doi.org/10.1016/j.jpubeco.2020.104345
   PubMed Web of Science ®Google Scholar
• Baker, M. (2013). Industrial actions in schools: Strikes and student achievement. The Canadian Journal of Economics, 46(3), 1014–1036. https://doi.org/10.1111/caje.12035
   Web of Science ®Google Scholar
• Bayrakdar, S., & Guveli, A. (2020). Inequalities in home learning and schools’ provision of distance teaching during school closure of COVID-19 lockdown in the UK (ISER Working Paper Series, No. 2020-09). University of Essex, Institute for Social and Economic Research (ISER), Colchester.
   Google Scholar
• Becker, H. J. (2000). Who’s wired and who’s not: Children’s access to and use of computer technology. The Future of Children, 10(2), 44–75. https://doi.org/10.2307/1602689
   PubMed Web of Science ®Google Scholar
• Beland, L. P., & Murphy, R. (2016). Ill Communication: Technology, distraction & student performance. Labour Economics, 41(C), 61–76. https://doi.org/10.1016/j.labeco.2016.04.004
   Web of Science ®Google Scholar
• Belot, M., & Webbink, D. (2010). Do teacher strikes harm educational attainment of students? LABOUR, 24(4), 391–406. https://doi.org/10.1111/j.1467-9914.2010.00494.x
   Google Scholar
• Bettinger, E. P., Fox, L., Loeb, S., & Taylor, E. S. (2017). Virtual classrooms: How online college courses affect student success. The American Economic Review, 107(9), 2855–2875. https://doi.org/10.1257/aer.20151193
   Web of Science ®Google Scholar
• Beuermann, D. W., Cristia, J., Cueto, S., Malamud, O., & Cruz-Aguayo, Y. (2015). One laptop per child at home: Short-term impacts from a randomized experiment in Peru. American Economic Journal: Applied Economics, 7(2), 53–80. https://doi.org/10.1257/app.20130267
   Web of Science ®Google Scholar
• Blanden, J., & Gregg, P. (2004). Family income and educational attainment: A review of approaches and evidence for Britain. Oxford Review of Economic Policy, 20(2), 245–263. https://doi.org/10.1093/oxrep/grh014
   Web of Science ®Google Scholar
• Blanden, J., & Machin, S. (2004). Educational inequality and the expansion of UK higher education. Scottish Journal of Political Economy, 51(2), 230–249. https://doi.org/10.1111/j.0036-9292.2004.00304.x
   Web of Science ®Google Scholar
• Blaskó, Z., da Costa, P., & Schnepf, S. V. (2021). Learning loss and educational inequalities in Europe: Mapping the potential consequences of the COVID-19 crisis (Discussion Paper 14298). IZA Institute of Labour Economics.
   Google Scholar
• Bol, T. (2020). Inequality in homeschooling during the Corona crisis in the Netherlands. First results from the LISS Panel (Working Paper). SocArXiv, April 30, 2020. https://doi.org/10.31235/osf.io/hf32q
   Google Scholar
• Boonk, L., Gijselaers, H. J. M., Ritzen, H., & Brand-Gruwel, S. (2018). A review of the relationship between parental involvement indicators and academic achievement. Educational Research Review, 24, 10–30. https://doi.org/10.1016/j.edurev.2018.02.001
   Web of Science ®Google Scholar
• Boxer, P., Goldstein, S., DeLorenzo, T., Savoy, S., & Mercado, I. (2010). Educational aspiration-expectation discrepancies: Relation to socioeconomic and academic risk-related factors. Journal of Adolescence, 34(4), 609–617. https://doi.org/10.1016/j.adolescence.2010.10.002
   PubMed Web of Science ®Google Scholar
• Brunstein, J. C. (1993). Personal goals and subjective well-being: A longitudinal study. Journal of Personality and Social Psychology, 65(5), 1061–1070. https://doi.org/10.1037/0022-3514.65.5.1061
   Web of Science ®Google Scholar
• Carter, S. P., Greenberg, K., & Walker, M. S. (2017). The impact of computer usage on academic performance: Evidence from a randomized trial at the United States Military Academy. Economics of Education Review, 56(C), 118–132. https://doi.org/10.1016/j.econedurev.2016.12.005
   Web of Science ®Google Scholar
• Contini, D., DiTommaso, M. L., Muratori, C., Piazzalunga, D., & Schiavon, L. (2021). The COVID-19 pandemic and school closure: Learning loss in mathematics in primary education (Discussion Paper 14785). IZA Institute of Labour Economics.
   Google Scholar
• Darmody, M., Smyth, E., & Russell, H. (2021). Impacts of the COVID-19 control measures on widening educational inequalities. YOUNG, 29(4), 366–380. https://doi.org/10.1177/11033088211027412
   Web of Science ®Google Scholar
• DeBacker, J., & Routon, P. M. (2021). A culture of despair? Inequality and expectations of educational success. Contemporary Economic Policy, 39(3), 573–588. https://doi.org/10.1111/coep.12528
   Web of Science ®Google Scholar
• Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018
   Google Scholar
• Dietrich, H., Patzina, A., & Lerche, A. (2021). Social inequality in the homeschooling efforts of German high school students during a school closing period. European Societies, 23(S1), S348–369. https://doi.org/10.1080/14616696.2020.1826556
   Web of Science ®Google Scholar
• Dimopoulos, K., Koutsampelas, C., & Tsatsaroni, A. (2021). Home schooling through online teaching in the era of COVID-19: Exploring the role of home-related factors that deepen educational inequalities across European societies. European Educational Research Journal, 20(4), 479–497. https://doi.org/10.1177/14749041211023331
   Web of Science ®Google Scholar
• Dontre, A. J. (2020). The influence of technology on academic distraction: A review. Human Behavior and Emerging Technologies, 3(3), 379–390. https://doi.org/10.1002/hbe2.229
   Google Scholar
• Doyle, O. (2020). COVID-19: Exacerbating educational inequalities? (Working Paper). UCD Geary Institute for Public Policy. https://publicpolicy.ie/papers/covid-19-exacerbating-educational-inequalities/
   Google Scholar
• Drane, C., Vernon, L., & O’Shea, S. (2020). The impact of ‘learning at home’ on the educational outcomes of vulnerable children in Australia during the COVID-19 pandemic (Literature Review). National Centre for Student Equity in Higher Education, Curtin University.
   Google Scholar
• Engzell, P., Frey, A., & Verhagen, M. D. (2021). Learning loss due to school closures during the COVID-19 pandemic. PNAS, 118(17), e2022376118. https://doi.org/10.1073/pnas.2022376118
   PubMed Web of Science ®Google Scholar
• Frohn, J. (2021). Troubled schools in troubled times: How COVID-19 affects educational inequalities and what measures can be taken. European Educational Research Journal, 20(5), 667–683. https://doi.org/10.1177/14749041211020974
   Web of Science ®Google Scholar
• Gershenson, S., Jacknowitz, A., & Brannegan, A. (2016). Are student absences worth the worry in U.S. primary schools? Education Finance and Policy, 12(1), 1–47. https://doi.org/10.2139/ssrn.2708371
   Google Scholar
• Gibbs, L., Kealy, M., Willis, K., Green, J., Welch, N., & Daly, J. (2007). What have sampling and data collection got to do with good qualitative research? Australian and New Zealand Journal of Public Health, 31(6), 540–544. https://doi.org/10.1111/j.1753-6405.2007.00140.x
   PubMed Web of Science ®Google Scholar
• Gottfried, M. A., & Kirksey, J. J. (2017). “When” students miss school: The role of timing of absenteeism on students’ test performance. Educational Researcher, 46(3), 119–130. https://doi.org/10.3102/0013189X17703945
   Web of Science ®Google Scholar
• Goudeau, S., Sanrey, C., Stanczak, A., Manstead, A., & Darnon, C. (2021). Why lockdown and distance learning during the COVID-19 pandemic are likely to increase the social class achievement gap. Nature Human Behaviour, 5, 1273–1281. https://doi.org/10.1038/s41562-021-01212-7
   PubMed Web of Science ®Google Scholar
• Haeck, C., & Lefebvre, P. (2020). Pandemic school closures may increase inequality in test scores. Canadian Public Policy, 46(S1), S82–87. https://doi.org/10.3138/cpp.2020-055
   Web of Science ®Google Scholar
• Hall, C., Lundin, M., & Sibbmark, K. (2021). A laptop for every child? The impact of technology on human capital formation. Labour Economics, 69, 101957. https://doi.org/10.1016/j.labeco.2020.101957
   Web of Science ®Google Scholar
• Hall, J., Roman, C., Jovel-Arias, C., & Young, C. (2020). Pre-service teachers examine digital equity amidst schools’ COVID-19 responses. Journal of Technology and Teacher Education, 28(2), 435–442.
   Google Scholar
• Hanushek, E. A., & Woessmann, L. (2020). The economic impacts of learning losses (Education Working Paper, No. 225). OECD.
   Google Scholar
• Holloway, S. D., Campbell, E. J., Nagase, A., Kim, S., Suzuki, S., Wang, Q., Iwatate, K., & Baak, S. Y. (2016). Parenting self-efficacy and parental involvement: Mediators or moderators between socioeconomic status and children’s academic competence in Japan and Korea? Research in Human Development, 13(3), 258–272. https://doi.org/10.1080/15427609.2016.1194710
   Web of Science ®Google Scholar
• Huang, J., & Russell, S. (2006). The digital divide and academic achievement. Electronic Library, 24(2), 160–173. https://doi.org/10.1108/02640470610660350
   Web of Science ®Google Scholar
• Jæger, M. M., & Blaabæk, E. H. (2020). Inequality in learning opportunities during Covid-19: Evidence from library takeout. Research in Social Stratification and Mobility, 68, 100524. https://doi.org/10.1016/j.rssm.2020.100524
   PubMed Web of Science ®Google Scholar
• Johnson, B. (2008). Teacher-student relationships which promote resilience at school: A micro-level analysis of students’ views. British Journal of Guidance & Counselling, 36(4), 385–398. https://doi.org/10.1080/03069880802364528
   Web of Science ®Google Scholar
• Johnson, D. R. (2011). Do strikes and work-to-rule campaigns change elementary school assessment results? Canadian Public Policy, 37(4), 479–494. https://doi.org/10.3138/cpp.37.4.479
   Web of Science ®Google Scholar
• Khattab, N. (2015). Students’ aspirations, expectations and school achievement: What really matters? British Educational Research Journal, 41(5), 731–748. https://doi.org/10.1002/berj.3171
   Web of Science ®Google Scholar
• Kuhfeld, M., Soland, J., Tarasawa, B., Johnson, A., Ruzek, E., & Liu, J. (2020). Projecting the potential impact of COVID-19 school closures on academic achievement. Educational Researcher, 49(8), 549–565. https://doi.org/10.3102/0013189X20965918
   Web of Science ®Google Scholar
• Kulikowski, K., Przytula, S., & Sulkowski, L. (2021). Emergency forced pandemic e-learning – feedback from students for HEI management. Open Learning: The Journal of Open, Distance and E-Learning, 36(3), 245–262. https://doi.org/10.1080/02680513.2021.1942810
   Web of Science ®Google Scholar
• Lancker, W. V., & Parolin, Z. (2020). COVID-19, school closures, and child poverty: A social crisis in the making. The Lancet, 5(5), e243–244. https://doi.org/10.1016/S2468-2667(20)30084-0
   Web of Science ®Google Scholar
• Lareau, A. (1987). Social class differences in family-school relationships: The importance of cultural capital. Sociology of Education, 60(2), 73–85. https://doi.org/10.2307/2112583
   Web of Science ®Google Scholar
• Lundie, D., & Law, J. (2020). Teachers’ responses and expectations in the COVID-19 school shutdown period in the UK (Technical Report). Scottish Parliament.
   Google Scholar
• Maldonado, J. E., & De Witte, K. (2021). The effect of school closures on standardised student test outcomes. British Educational Research Journal, 48(1), 49–94. https://doi.org/10.1002/berj.3754
   Web of Science ®Google Scholar
• Malmqvist, J., Hellberg, K., Möllås, G., Rose, R., & Shevlin, M. (2019). Conducting the pilot study: A neglected part of the research process? Methodological findings supporting the importance of piloting in qualitative research studies. International Journal of Qualitative Methods, 18, 160940691987834. https://doi.org/10.1177/1609406919878341
   Web of Science ®Google Scholar
• Meyers, K., & Thomasson, M. A. (2017). Paralyzed by panic: Measuring the effect of school closures during the 1916 polio pandemic on educational attainment (NBER Working Paper No. 23890). National Bureau of Economic Research Inc.
   Google Scholar
• Milheim, K., Fraenza, C., & Palermo-Kielb, K. (2021). Supporting student-initiated mobile device use in online learning. Online Learning, 25(3), 267–288. https://doi.org/10.24059/olj.v25i3.2438
   Web of Science ®Google Scholar
• Ministry of Housing, Communities and Local Government. (2019). The English Indices of Deprivation 2019. (IoD2019). https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019
   Google Scholar
• Moore, J. L., Dickson Deane, C., & Galyen, K. (2011). E-learning, online learning, and distance learning environments: Are they the same? The Internet and Higher Education, 14(2), 129–135. https://doi.org/10.1016/j.iheduc.2010.10.001
   Web of Science ®Google Scholar
• Morris, A. B. (2005). Diversity, deprivation and the common good: Pupil attainment in Catholic schools in England. Oxford. Review of Education, 31(2), 311–330. https://doi.org/10.1080/03054980500117959
   Web of Science ®Google Scholar
• Murat, M., & Bonacini, L. (2020). Coronavirus pandemic, remote learning and education inequalities (GLO Discussion Paper No. 679). Global Labor Organization.
   Google Scholar
• Pensiero, N., Kelly, A., & Bokhove, C. (2021). Learning inequalities during the Covid-19 pandemic. A longitudinal analysis using the UK Understanding Society 2020 and 2021 data. (Project Report). University of Southampton. https://doi.org/10.5258/SOTON/P0118
   Google Scholar
• Reimer, D., Smith, E., Andersen, I. G., & Sortkær, B. (2021). What happens when schools shut down? Investigating inequality in students’ reading behavior during Covid-19 in Denmark. Research in Social Stratification and Mobility, 71, 100568. https://doi.org/10.1016/j.rssm.2020.100568
   PubMed Web of Science ®Google Scholar
• Shelton, J. T., Elliott, E. M., Lynn, S. D., & Exner, A. L. (2009). The distracting effects of a ringing cell phone: An investigation of the laboratory and the classroom setting. Journal of Environmental Psychology, 29(4), 513–521. https://doi.org/10.1016/j.jenvp.2009.03.001
   PubMed Web of Science ®Google Scholar
• Smith, J. G. (2006). Parental involvement in education among low-income families: A case study. School Community Journal, 16(1), 43–56.
   Google Scholar
• Thomas, K. M., O’Bannon, B. W., & Bolton, N. (2013). Cell phones in the classroom: Teachers’ perspectives of inclusion, benefits, and barriers. Computers in the Schools, 30(4), 295–308. https://doi.org/10.1080/07380569.2013.844637
   Google Scholar
• Tomasik, M. J., Helbling, L. A., & Moser, U. (2020). Educational gains of in-person vs. distance learning in primary and secondary schools: A natural experiment during the COVID-19 pandemic school closures in Switzerland. International Journal of Psychology, 56(4), 566–576. https://doi.org/10.1002/ijop.12728
   PubMed Web of Science ®Google Scholar
• UK Department for Education. (2022). Secondary accountability measures: Guide for maintained secondary schools, academies and free schools. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1112046/Secondary_accountability_measures_2022_guide.pdf
   Google Scholar
• UK Local Area. (2021a). Beverley rural. Retrieved August 8, 2021a, from http://www.uklocalarea.com/index.php?lsoa=E01012919&q=Beverley+Rural&wc=00FBND
   Google Scholar
• UK Local Area. (2021b). Orchard Park and Greenwood. Retrieved August 8, 2021b, from http://www.uklocalarea.com/index.php?lsoa=E01012874&q=Orchard+Park+and+Greenwood&wc=00FANP
   Google Scholar
• UNICEF. (2020). Averting a lost COVID generation: A six-point plan to respond, recover and reimagine a post-pandemic world for every child. https://www.unicef.org/reports/averting-lost-generation-covid19-world-childrens-day-2020-brief
   Google Scholar
• UNICEF. (2021). COVID-19: Schools for more than 168 million children globally have been completely closed for almost a full year, says UNICEF. Retrieved December 24, 2021, from https://www.unicef.org/press-releases/schools-more-168-million-children-globally-have-been-completely-closed
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Vittorini, P., & Galassi, A. (2021). From blended to online due to the COVID outbreak: The case study of a data science course. Open Learning: The Journal of Open, Distance and E-Learning, 26(3), 212–230. https://doi.org/10.1080/02680513.2021.1973399
   Google Scholar
• Werner, K., & Woessmann, L. (2021). The legacy of Covid-19 in education (CESifo Working Paper No. 9358). Munich Society for the Promotion of Economic Research – CESifo GmbH.
   Google Scholar
• Yanguas, M. L. (2020). Technology and educational choices: Evidence from a one-laptop-per-child program. Economics of Education Review, 76, 101984. https://doi.org/10.1016/j.econedurev.2020.101984
   PubMed Web of Science ®Google Scholar