[
Azevedo, J.P., Hasan, A., Goldemberg, D., Iqbal, S.A., Geven, K. (2021). Simulating the Potential Impacts of COVID-19 School Closures on Schooling and Learning Outcomes: A Set of Global Estimates. The World Bank Research Observer, 36.
]Search in Google Scholar
[
Bakker, M., van den Heuvel-Panhuizen, M., Robitzsch, A. (2014). Effects of playing mathematics computer games on primary school students’ multiplicative reasoning ability. Contemporary Educational Psychology, 40, January 2015, 55-71.
]Search in Google Scholar
[
Bayraktar, F. (2017). Online risks and parental mediation strategies comparison of Turkish children/adolescents who live in Turkey and Europe. Education and Science, 42(190), pp. 25-37.
]Search in Google Scholar
[
Bol, T. (2020). Inequality in homeschooling during the Corona crisis in the Netherlands. First results from the LISS Panel. SocArXiv hf32q, Center for Open Science, 10.31235/osf.io/hf32q.
]Search in Google Scholar
[
Cavalcanti, A.P., Barbosa, A., Carvalho, R., Freitas, F., Tsai, Y.S. (2021). Automatic feedback in online learning environments: A systematic literature review, Computers and Education: Artificial Intelligence, 2, 2021, 100027.
]Search in Google Scholar
[
Clark, A.E., Nong, H., Zhu, H., Zhu, R. (2021). Compensating for academic loss: Online learning and student performance during the COVID-19 pandemic, China Economic Review, 68, August 2021, 101629, https://doi.org/10.1016/j.chieco.2021.101629.
]Search in Google Scholar
[
Craina, S. & Losonczy, C. (2005). Utilizarea calculatorului in procesul de predare-invatare. Bucharest: Educatia 2000+.
]Search in Google Scholar
[
Daniela, L., Visvizi, A. & Lytras, M.D. (2019). How to predict the unpredictable: technology-enhanced learning and learning innovations in higher education, in Eds. Visvizi, A., Lytras M.D., Daniela, L., The Future of Innovation and Technology in Education, Policies and Practices for Teaching and Learning Excellence. Emerald Studies in Higher Education, Innovation and Technology, Emerald Publishing.
]Search in Google Scholar
[
Dascalu, M.D., Ruseti, S., Dascalu, M., McNamara, D.S., Carabas, M., Rebedea, T., Trausan-Matu, S. (2021). Before and during COVID-19: A Cohesion Network Analysis of students’ online participation in moodle courses. Computers in Human Behavior, 121, August 2021, 106780.
]Search in Google Scholar
[
Dima, A., Clodniţchi, R., Istudor, L. & Luchian, I. (2019). Business excellence models in higher education – innovative solutions for management performance. Proceedings of the International Conference on Business Excellence, 13(1) 38-46.
]Search in Google Scholar
[
Dima, A. M., Busu, M., & Vargas, V. M. (2022). The mediating role of students’ ability to adapt to online activities on the relationship between perceived university culture and academic performance. Oeconomia Copernicana, 13(4), 1253–1281. https://doi.org/10.24136/oc.2022.036.
]Search in Google Scholar
[
Dong, C., Cao, S., Li, H. (2020). Young children’s online learning during COVID-19 pandemic: Chinese parents’ beliefs and attitudes. Children and Youth Services Review, 118, November 2020, 105440, https://doi.org/10.1016/j.childyouth.2020.105440.
]Search in Google Scholar
[
Favale, T., Soro, F., Trevisan, M., Drago, I., Mellia, M. (2020). Campus traffic and e-Learning during COVID-19 pandemic. Computer Networks, 176(2020), 107290.
]Search in Google Scholar
[
Harrison, C., Comber, C., Fisher, T., et al. (2002). ImpacCT2: The Impact of Information and Communication Technologies on Pupil Learning and Attainment, British Educational Communications and Technology Agency.
]Search in Google Scholar
[
House, R. (2012). The inappropriateness of ICT in early childhood: Arguments from philosophy, pedagogy, and developmental research, in S. Suggate, E. Reese (Eds.), Contemporary debates in childhood education and development, Routledge, New York, pp. 105-120.
]Search in Google Scholar
[
Jogezai, N.A., Baloch, F.A., Jaffar, M., Shah, T., Khilji, G.K., Bashir, S. (2021). Teachers' attitudes towards social media (SM) use in online learning amid the COVID-19 pandemic: the effects of SM use by teachers and religious scholars during physical distancing, Heliyon, 7(4), April 2021, e06781, https://doi.org/10.1016/j.heliyon.2021.e06781.
]Search in Google Scholar
[
Kemp, N. & Grieve, R. (2014). Face-to-face or face-to-screen? Undergraduates' opinions and test performance in classroom vs. online learning. Front. Psychol., 12 November 2014, 5(2014), https://doi.org/10.3389/fpsyg.2014.01278.
]Search in Google Scholar
[
Maldonado, J.E. & De Witte, K. (2020) The effect of school closures on standardized student test outcomes. Discussion Paper Series DPS20.17, September 2020.
]Search in Google Scholar
[
Olanrewaju, G.S., Adebayo, S.B., Omotosho, A.Y., Olajide, C.F. (2021). Left behind? The effects of digital gaps on e-learning in rural secondary schools and remote communities across Nigeria during the COVID19 pandemic. International Journal of Educational Research Open, 2, 2021, 100092.
]Search in Google Scholar
[
Passey, D. (2014). Inclusive technology enhanced learning. Overcoming cognitive, physical, emotional & geographical challenges, Routledge, New York and London.
]Search in Google Scholar
[
Psacharopoulos, G., Collis, V., Patrinos, H.A., Vegas, E. (2020). Lost Wages. The COVID-19 Cost of School Closures. World Bank Group, Policy Research Working Paper 9246.
]Search in Google Scholar
[
Purnama, S., Ulfah, M., Machali, I., Wibowo, A., Narmaditya, B.S. (2021) Does digital literacy influence students’ online risk? Evidence from Covid-19, Heliyon, 7(6), e07406, https://doi.org/10.1016/j.heliyon.2021.e07406.
]Search in Google Scholar
[
Spitzer, M.W.H., Gutsfeld, R., Wirzberger, M., Moeller, K. (2021). Evaluating students’ engagement with an online learning environment during and after COVID-19 related school closures: A survival analysis approach. Trends in Neuroscience and Education, 25, December 2021, 100168.
]Search in Google Scholar
[
Vainionpää, F., Kinnula, M., Iivari, N. & Molin-Juustila, T. (2019). Gendering and Segregation in Girls’ Perceptions of IT as a Career Choice – A Nexus Analytic Inquiry. In A. Siarheyeva, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Information Systems Beyond 2020 (ISD2019 Proceedings). Toulon, France: ISEN Yncréa Méditerranée.
]Search in Google Scholar
[
Zhao, L., Cao, C., Li, Y., Li, Y. (2022). Determinants of the digital outcome divide in E-learning between rural and urban students: Empirical evidence from the COVID-19 pandemic based on capital theory. Computers in Human Behavior, 130, May 2022, 107177.
]Search in Google Scholar
