Measuring teachers’ readiness to use ICT before the COVID-19 pandemic in Italy

Antonella D’Agostino, Sergio Longobardi (), Giuseppe Migali and Felice Russo
Additional contact information
Antonella D’Agostino: University of Naples “Parthenope”
Sergio Longobardi: University of Naples “Parthenope”
Felice Russo: Università del Salento, Campus Ecotekne

Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 6, No 5, 5007-5033

Abstract: Abstract This study seeks to measure teachers’ readiness to use ICT in Italy by exploiting the data collected by the National Institute for the evaluation of education and training system (INVALSI) in 2018–2019. We propose a fuzzy set approach to provide a multidimensional picture of how much teachers were ready to integrate ICTs into educational practice. In addition, we use empirical bootstrap intervals to test whether significant differences exist in teacher readiness over several personal and socioeconomic characteristics. The study reveals that teachers’ readiness for ICT is composed of three dimensions and varies by teachers’ characteristics and regions. These results are a useful tool for understanding the relationship between teachers and ICTs so as to develop more appropriate educational policies.

Keywords: ICT in education; Fuzzy logic; Teacher readiness; INVALSI data (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11135-022-01586-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:57:y:2023:i:6:d:10.1007_s11135-022-01586-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-022-01586-4

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().