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The Covid-19 pandemic has forced the education system to a rapid and unprepared transition to distance learning, inducing many teachers to organize lessons via information and communication technologies (ICTs), albeit often without sufficient technological and organizational support. Our study aims to evaluate teachers’ and students’ experience with ICTs during the first lockdown, considering three categories of relevant factors: technical issues, attitudes and beliefs towards online learning, and metacognitive skills. Participants were 486 students and 83 teachers of a Northern Italy high school, who were administered a self-reported online questionnaire. Video-lessons and audio-lessons emerged as overlooked teaching modalities. The desktop was the less used device, teachers preferred the tablet, while students preferred the smartphone. In general, students displayed appreciation of distance learning, even if they wished for more interactive activities. Teachers’ level of metacognitive competence and self-efficacy were rather high. For students, the perception of the e-learning environment predicted positively the perception of distance education and negatively the experienced anxiety, with anxiety also being higher among females. For teachers, the evaluation of distance learning was positively predicted by their beliefs about ICTs. This demonstrates the importance of promoting positive ICTs beliefs to motivate teachers in engaging in distance learning. Moreover, higher perceived self-efficacy was associated with lower levels of anxiety, thus showing the need to engage in training activities enabling teachers to feel confident when using ICTs.


Distance Learning e-Learning Smart teaching ICT Covid-19

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How to Cite
Cadamuro, A., Bisagno, E., Rubichi, S., Rossi, L., Cottafavi, D., Crapolicchio, E., & Vezzali, L. (2021). Distance learning and teaching as a consequence of the Covid-19 pandemic: A survey of teachers and students of an Italian high school taking into account technological issues, attitudes and beliefs toward distance learning, metacognitive skills. Journal of E-Learning and Knowledge Society, 17(1), 81-89.


  1. Abedalaziz, N., Jamaluddin, S., & Leng, C.H. (2013). Measuring Attitudes towards Computer and Internet Usage among Postgraduates Students in Malaysia. The Turkish Online Journal of Educational Technology, 12.
  2. Adenuga, R. A., Owoyele, J., W., Adenuga, F. T. (2011). Gender and socio-economic background differentials in students’ attitude to information and communication technology education in Nigerian secondary schools: Implications for policy, ICT education and counselling. International Journal of Psychology and Counselling, 3, 162-166. DOI: 10.5897/IJPC10.029
  3. Amiri, R., & Sharifi, M. (2014). The Influence of Using Interactive Whiteboard on Writings of EFL Students Regarding Adverbs. Procedia - Social and Behavioral Sciences, 98, 242-250. doi:10.1016/j.sbspro.2014.03.413
  4. Balanskat, A., Blamire, R., & Kefala, S. (2006). The ICT impact report. A review of studies of ICT impact on schools in Europe. European Schoolnet.
  5. Battro, A. M. (2010). The Teaching Brain. Mind, Brain, and Education, 4, 28-33. doi:10.1111/j.1751-228x.2009.01080.x
  6. Becta (2004) A review of the research literature on barriers to the uptake of ICT by teachers. Coventry: Becta. documents/research/barriers.pdf.
  7. Chen, H. R., Chiang, C. H., & Lin, W. S. (2013). Learning Effects of Interactive Whiteboard Pedagogy for Students in Taiwan from the Perspective of Multiple Intelligences. Journal of Educational Computing Research, 49, 173-187. doi:10.2190/ec.49.2.c
  8. Cox M. (2003) The Effects of Attitudes, Pedagogical Practices and Teachers’ Roles on the Incorporation of ICT into the School Curriculum. In: Dowling C., Lai KW. (eds) Information and Communication Technology and the Teacher of the Future. IFIP - The International Federation for Information Processing, vol 132. Springer, Boston, MA.
  9. Davis, N.; Eickelmann, B.; Zaka, P. (2013). Restructuring of educational systems in the digital age from a co-evolutionary perspective. Journal of Computer Assisted Learning, 29, 438-450. doi:10.1111/jcal.12032
  10. Drossel, K., Eickelmann, B., Gerick, J. (2017). Predictors of teachers’ use of ICT in school - the relevance of school characteristics, teachers’ attitudes and teacher collaboration. Education and Information Technologies, 22, 551–573. doi:10.1007/s10639-016-9476-y
  11. Edmunds, R., Mary Thorpe, M., Conole, G. (2012). Student attitudes towards and use of ICT in course study, work and social activity: A technology acceptance model approach. British Journal of Educational Technology, 43, 71-84. doi:10.1111/j.1467-8535.2010.01142.x
  12. Eickelmann, B., Vennemann, M. (2017). Teachers‘ attitudes and beliefs regarding ICT in teaching and learning in European countries. European Educational Research Journal, 1-29. doi:10.1177/1474904117725899
  13. 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. Amsterdam: IEA.
  14. Fu, J., S. (2013). ICT in Education: A Critical Literature Review and Its Implications. International Journal of Education and Development using Information and Communication Technology, 9, 112-125.
  15. Gewin V (2020) Five tips for moving teaching online as COVID19 takes hold. Nature, 580:295-296.
  16. Higgins, S., Beauchamp, G., & Miller, D. (2007). Reviewing the literature on interactive whiteboards. Learning, Media and Technology, 32, 213-225. doi:10.1080/17439880701511040
  17. Holme, T. (2020). A. Journal of Chemical Education Call for Papers: Special Issue on Insights Gained While Teaching Chemistry in the Time of COVID-19. Journal of Chemical Education, 97, 1226-1227. doi:10.1021/acs.jchemed.0c00378
  18. Jonassen, D. H., Howland, J., Marra, R., & Crismond, D. (2008). Meaningful learning with technology. Upper Saddle River, NJ: Pearson.
  19. Koehler, M.J., & Mishra, P. (2008). Introducing TPCK. In AACTE Committee on Innovation and Technology (Ed.), The handbook of technological pedagogical content knowledge (TPCK) for educators (pp. 3-29). New York, NY: Routledge.
  20. Kubiatko, M. (2010). Czech university students attitudes towards ICT used in science education. Journal of Technology and Information Education, 2, 20-25.
  21. Liaw, S., S. (2002). Understanding user perceptions of World-wide web environments. Journal of Computer Assisted Learning, 18, 137-148. doi:10.1046/j.0266-4909.2001.00221.x
  22. Ligorio, M.B., Loperfido, F.F., Sansone, N., & Spadaro, P.F. (2010). Blending educational models to design blended activities. In F. Pozzi & D. Persico, (Eds.): Techniques for Fostering Collaboration in Online Learning Communities: Theoretical and Practical Perspectives (pp. 64-81). Information Science Publishing.
  23. Monteith, M. (ed.) (2002). ICT: Teaching primary literacy with ICT. Buckingham: Open University Press.
  24. Perkmen, S. (2014). The role of personality and school climate on pre-service teachers’ motivation towards technology integration in education. Education Sciences, 9, 380-393. Retrieved from
  25. Phan, T. T. N., & Dang, L. T. T. (2017). Teacher Readiness for Online Teaching: A Critical Review. International Journal Open Distance E-Learn, 3, 1-16.
  26. Phelps, R., Graham, A. (2008). Developing Technology Together, Together, Journal of Computing in Teacher Education, 24, 125-134.
  27. Schleicher, A., & Reimers, F. (2020). Schooling Disrupted, Schooling Rethought: How the COVID-19 Pandemic is Changing Education. OECD. URL: &title= -Schooling-disrupted-schooling-rethought-How-the-Covid-19-pandemic-is-changing-education.
  28. Phelps, R., Graham, A., & Kerr, B. (2004). Teachers and ICT: Exploring a metacognitive approach to professional development. Australasian Journal of Educational Technology, 20.
  29. Roca, J. C., & Gagné, M. (2008). Understanding e-learning continuance intention in the workplace: a self-determination theory perspective. Computers in Human Behavior, 24, 1585-1604.
  30. Sang, G., Valcke, M., van Braak, J., Tondeur, J. (2010). Student teachers’ thinking processes and ICT integration: Predictors of prospective teaching behaviors with educational technology. Computers & Education, 54, 103-112. doi:10.1016/j.compedu.2009.07.010
  31. Scanlon J. (2020). What it means to teach consumer culture remotely through a pandemic. Advertising & Society Quarterly, 21.
  32. Shapka, J. D., & Ferrari, M. (2003). Computer-related attitudes and actions of teacher candidates. Computers in Human Behavior, 19, 319–334.
  33. Silin, Y., & Kwok, D. (2017). A study of students’ attitudes towards using ICT in a social constructivist environment. Australasian Journal of Educational Technology, 33.
  34. Sindiani AM, Obeidat N, Alshdaifat E, Elsalem L, Alwani MM, Rawashdeh H, Fares AS, Alalawne T, Tawalbeh LI. (2020). Distance education during the COVID-19 outbreak: A cross-sectional study among medical students in North of Jordan. Annals of Medicine and Surgery, 59, 186-194.
  35. Somyurek, S., Atasoy, B., & Ozdemir, S. (2009). Board’s IQ: What makes a board smart? Computers & Education, 53, 368-374. doi:10.1016/j.compedu.2009.02.012
  36. Sun, H., Zhang, P. (2008). An exploration of affect factors and their role in user technology acceptance: Mediation and causality. Journal of The American Society For Information Science And Technology, 59, 1252–1263. doi:10.1002/asi.20819
  37. Teo, T., Lee, C.B., Chai, C.S., Choy, D. (2009). Modelling pre-service teachers’ perceived usefulness of an ICT-based student-centred learning (SCL) curriculum: a Singapore study. Asia Pacific Educational. Review, 10, 535-545.
  38. Toprakçi, E. (2006). Perceptions related to ICT by managers and teachers in the primary and the secondary schools. Eurasian Journal of Educational Research, 24, 180-187.
  39. UNESCO (2020). Education: From disruption to recovery.
  40. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46,186-204. doi:10.1287/mnsc.
  41. Volery, T., Lord, D. (2000). Critical success factors in online education. International Journal of Educational Management, 14, 216-223.
  42. Watson, D.M. (Ed.) (1993) IMPACT - An evaluation of the IMPACT of the Information Technology on Children's Achievements in Primary and Secondary Schools. King's College London.