Affrontare il divario digitale: esplorare i modelli di accesso e utilizzo delle TIC tra gli studenti dell’ultimo anno della scuola secondaria superiore in Italia

Contenuto principale dell'articolo

Donatella Papa
Marta Desimoni

Abstract

Questo studio esamina l’accesso e l’uso delle Tecnologie dell’Informazione e della Comunicazione (TIC) al di fuori dell’ambiente scolastico tra gli studenti delle scuole secondarie superiori in Italia, basato sui dati del Field Trial INVALSI 2021-2022. Lo studio indaga la disponibilità di dispositivi digitali come desktop, laptop e smartphone, e esplora i modelli di utilizzo tramite un questionario che affronta il primo e il secondo divario digitale, le variabili socio-demografiche e altri fattori rilevanti. I risultati offrono spunti di riflessione per chi deve gestire l’uso della tecnologia e migliorare le esperienze di apprendimento. È significativo che il 96% degli studenti abbia riferito di avere accesso a un computer a casa per attività di apprendimento e non, e l’88% avesse connettività a Internet a casa. Sebbene i risultati iniziali suggeriscano una riduzione del divario di accesso digitale, i modelli di regressione logistica indicano che il primo livello di divario digitale rimane una sfida per alcuni gruppi socio-economici. Utilizzando tecniche di data mining come le regole di associazione, sono state quindi identificate le attività più influenti tra gli studenti. La maggior parte degli studenti di grado 13 possedeva strumenti TIC e li utilizzava principalmente per attività ricreative come i social media, le piattaforme di comunicazione online, i video e la musica di intrattenimento, e la navigazione web.

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Riferimenti bibliografici

Abdullah, Z., Herawan, T., Ahmad, N., & Deris, M. M. (2011). Mining significant association rules from educational data using critical relative support approach. Procedia Social and Behavioral Sciences, 28, 97–101. https://doi.org/10.1016/j. sbspro.2011.11.020

Agrawal, R., Imielinski, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. ACM SIGMOD Record, 22, 207–216. https://doi.org/10.1145/170036.170072

Attewell, P. (2001). Comment: The first and second digital divides. Sociology of Education, 74, 252-259. https://doi.org/10.2307/2673277

Attewell, P., & Monaghan, D. (2015). Data mining for the social sciences: An introduction. University of California Press. https://doi.org/10.1525/9780520960596

Benecchi, A., Ciapanna, E., Bottoni, C., Frigo, A., Milan, A., & Scarinzi, E. (2021). Digitalisation in Italy: Evidence from a new regional index. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4016669

Burgess, M. C., Stermer, S. P., & Burgess, S. R. (2007). Sex, lies, and video games: The portrayal of male and female characters on video game covers. Sex roles, 57, 419-433. https://doi.org/10.1007/s11199-007-9250-0

Campodifiori, E., Figura, E., Papini, M., & Ricci, R. (2010). Un indicatore di status socio-economico-culturale degli allievi della quinta primaria in Italia. Invalsi.

Cedefop (2021). Digital skills: challenges and opportunities during the pandemic. Cedefop, https://www.cedefop.europa.eu/en/news/ digital-skills-challenges-and-opportunities-during-pandemic

Cesareo, V. (2022). Ventisettesimo rapporto sulle migrazioni 2021. Ventisettesimo rapporto sulle migrazioni 2021, 1–301. https://www.ismu.org/ ventisettesimo-rapporto-sulle-migrazioni-2021/

Chiu, M.-S. (2020). Exploring models for increasing the effects of school information and communication technology use on learning outcomes through outside-school use and socioeconomic status mediation: The ecological techno-process. Educational Technology Research and Development, 68(1), 413–436. https://doi. org/10.1007/s11423-019-09707-x

Chugh, R. & Ruhi, U. (2018). Social media in higher education: A literature review of facebook. Education and Information Technologies, 23, 605–616. https://doi.org/10.1007/s10639-017-9621-2

Crosier, D., & Sigalas, E. (2022). Towards equity and inclusion in higher education in Europe: Eurydice report. Luxembourg: Publications Office of the European Union, 2022. https://hdl.handle.net/11162/222272

Di Pietro, G. (2021). Changes in Italy’s education-related digital divide. Westminster Research. https://doi.org/10.1111/ecaf.12471

DiMaggio, P., Hargittai, E., Neuman, W. R., & Robinson, J. P. (2001). Social implications of the internet. Annual Review of Sociology, 27, 307–336. https://doi.org/10.1146/annurev.soc.27.1.307

Dindar, M. (2018). An empirical study on gender, video game play, academic success and complex problem solving skills. Computers & Education, 125, 39–52. https://doi.org/10.1016/j.compedu.2018.05.018

Fernàndez-Gutiérrez , M., Gimenez, G., & Calero, J. (2020). Is the use of ICT in education leading to higher student outcomes? Analysis from the spanish autonomous communities. Computers & Education, 157. https://doi. org/10.1016/j.compedu.2020.103969

Fraillon, J., Ainley, J., Schulz, W., Duckworth, D., & Friedman, T. (2019). IEA International computer and information literacy study. 2018 Assessment Framework. Springer International Publishing. https://doi.org/10.1007/ 978-3-030-19389-8

Gasaymeh, A. (2018). A study of undergraduate students’ use of Information and Communication Technology (ICT) and the factors affecting their use: a developing country perspective. EURASIA Journal of Mathematics, Science and Technology Education, 14(5), 1731–1746. https://doi.org/10.29333/ejmste/85118

Gebhardt, E., Thomson, S., Ainley, J., && Hillman, K (2019). What have we learned about gender differences in ICT? In Gender differences in computer and information literacy: An in-depth analysis of data from ICILS (pp. 69–73). https://doi.org/10.1007/ 978-3-030-26203-7_6

Gómez-Gonzalvo, F., Molina, P., & Devìs-Devìs, J. (2020). Which are the patterns of video game use in spanish school adolescents? gender as a key factor. Entertainment Computing, 34. https://doi.org/10.1016/j.entcom.2020. 100366

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(10), 1273–1281. https://doi.org/10.1038/s41562-021-01212-7

Greenberg, B. S., Sherry, J., Lachlan, K., Lucas, K., & Holmstrom, A. (2010). Orientations to video games among gender and age groups. Simulation & Gaming, 41(2), 238–259. https://doi.org/10.1177/1046878108319930

Han, J., & Pei, J. (2000). Mining frequent patterns by pattern-growth. ACM SIGKDD Explorations Newsletter, 2, 14–20. https://doi.org/10.1145/ 380995.381002

Heo, H., & Kang, M. (2010). Impacts of ICT use on school learning outcome. In F. Scheuermann, & F. Pedró (Eds.), Assessing the effects of ICT in education. Indicators, criteria and benchmarks for international comparisons (pp. 189-198). European Commission Joint Research Centre. https://erte.dge.mec.pt/sites/default/files/Recursos/Estudos/assessingtheeffectsofictineducation.pdf

ISTAT. (2020a). Il rapporto Istat sul BES. ISTAT. https://www.istat.it/it/ files//2021/03/BES_2020.pdf

ISTAT. (2020b). Italian multipurpose survey on households. ISTAT. https://www.istat.it/wp-content/uploads/2014/08/ISTAT_MFR_AVQ_2020_IT-2.zip

Kenny, E. (2017). Settlement in the digital age: Digital inclusion and newly arrived young people from refugee and migrant backgrounds. Centre for Multicultural Youth. https://www.cmy.net.au/wp-content/uploads/2020/03/ Settlement-in-the-digital-age_Jan2017.pdf

Ludvìk, E., Łukasz, T., Milan, K., Maria, P., & Gabriela, P. (2020). How do first year university students use ICT in their leisure time and for learning purposes? International Journal of Cognitive Research in Science, Engineering and Education, 8(2), 35–52. https://doi.org/10.5937/IJCRSEE2002035E

Nachmias, R., Mioduser, D., & Shemla, A. (2001). Information & Communication Technologies usage by students in an Israeli high school: Equity, gender, and inside/outside school learning issues. Education and Information Technologies, 6, 43–52. https://doi.org/10.1023/A:1011367212148

OECD. (2017). Pisa 2018 ICT familiarity questionnaire. OECD Publishing. https://www.oecd.org/pisa/data/2018database/CY7_201710_QST_MS_ICQ_ NoNotes_final.pdf

OECD. (2023). PISA 2022 Assessment and Analytical Framework. OECD Publishing.

https://doi.org/https://doi.org/10.1787/dfe0bf9c-en

Ola Lindberg, J., & Sahlin, S. (2011). Bridging school-subjects and distances in upper secondary schools. Campus-Wide Information Systems, 28(3), 144–153. https://doi.org/10.1108/10650741111145670

Olofsson, A. D., Lindberg, O. J., & Fransson, G. (2018). Students’ voices about information and communication technology in upper secondary schools. The International Journal of Information and Learning Technology, 35(2), 82–92. https://doi.org/10.1108/IJILT-09-2017-0088

Phan, M. H., Jardina, J. R., Hoyle, S., & Chaparro, B. S. (2012). Examining the role of gender in video game usage, preference, and behavior. In Proceedings of the human factors and ergonomics society annual meeting, Vol.56 (pp.1496– 1500). Sage Publications. https://doi.org/10. 1177/1071181312561297

Raschka, S. (2018). Mlxtend: Providing machine learning and data science utilities and extensions to python’s scientific computing stack. Journal of Open Source Software, 3(24), 638.

Riggins, F., & Dewan, S. (2005). The digital divide: Current and future research directions. Journal of the Association for Information Systems, 6:298–337. https://doi.org/10.17705/1jais.00074.

SANFO, J.-B. M. B. (2023). Examining student ICT use and learning outcomes: Evidence from Japanese Pisa data. Computers and Education Open, 4. https://doi.org/10.1016/j.caeo.2023.100141

Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53. https://doi.org//10.5116/ijme.4dfb.8dfd

Tuszynski, J., & Khachatryan, M. H. (2013). Package ‘Catools’. https://cran.r-project.org/web/packages/caTools/caTools.pdf

van Dijk, J. (2005). The deepening divide: Inequality in the information society. SAGE Publications. https://doi.org/10.4135/9781452229812

Vassilakopoulou, P., & Hustad, E. (2023). Bridging digital divides: A literature review and research agenda for information systems research. Information Systems Frontiers, 25(3), 955–969. https://doi.org/10.1007/s10796-020-10096-3

Wastiau, P., Blamire, R., Kearney, C., Quittre, V., Van de Gaer, E., & Monseur, C. (2013). The use of ICT in education: a survey of schools in europe. European Journal of Education, 48(1), 11–27. https://doi.org/10.1111/ejed.12020

Xiao, F. & Sun, L. (2022). Profiles of student ICT use and their relations to background, motivational factors, and academic achievement. Journal of Research on Technology in Education, 54(3), 456–472. https://doi.org/10.1080/15391523. 2021.1876577

Zhang, C. & Zhang, S. (2002). Association rule mining: models and algorithms. Springer. https://doi.org/10.1007/3-540-46027-6