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            Chapter A quantitative study to measure the family impact of e-learning

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            Author(s)
            Davino, Cristina
            GHERGHI, Marco
            VISTOCCO, Domenico
            Language
            English
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            Abstract
            The Covid emergency has forced universities around the world to transfer teaching activities online. Even if online teaching has made it possible to carry out the planned teaching activities, it is necessary, in retrospect, to evaluate the impact that this teaching method has had on the different types of students, in terms of preparation, characteristics and social background. In this framework, the presents paper aims to evaluate if distance learning can be considered socially less useful because it increases the divide between the advantaged and disadvantaged students. The study is based on the analysis of data collected at the University of Naples Federico II in June 2020. More than 19 thousand students took part in the survey, carried out to monitor distance learning activities. The aim of this work is to analyse whether and how much the distance learning activities has had an impact on the students' families both in terms of the organisation of the spaces and daily rhythms and from an economic point of view, having required additional expenses. This objective will be achieved through the use of a factorial method that will provide a composite indicator measuring the family impact of distance learning. We will then try to explain if the family impact takes different forms and intensity depending on the students' characteristics, the availability of computer equipment and the type of teaching used. Quantile regression will allow to differentiate the study of effects for different levels of family impact. Finally, it will also be evaluated whether the experience lived in terms of the family impact of the distance learning, conditions the judgement on the preferred teaching method for the future, totally online, oriented towards a complete return to face-to-face teaching or a mixed solution that takes advantage of the experience lived.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/198880
            Keywords
            Online learning; Quantile regression; Composite indicators
            DOI
            10.36253/978-88-5518-304-8.21
            ISBN
            9788855183048
            Publisher
            Firenze University Press
            Publisher website
            www.fupress.com/
            Publication date and place
            Florence, 2021
            Series
            Proceedings e report,
            Pages
            5
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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