Identifying key features of resilient students in digital reading: Insights from a machine learning approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-023-11908-0.pdf
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3. Agasisti, T., Longobardi, S., & Regoli, A. (2017). A cross-country panel approach to exploring the determinants of educational equity through PISA data. Quality & Quantity, 51, 1243–1260. https://doi.org/10.1007/s11135-016-0328-z
4. Agasisti, T., Avvisati, F., Borgonovi, F., & Longobardi, S. (2021). What school factors are associated with the success of socio-economically disadvantaged students? An empirical investigation using PISA data. Social Indicators Research, 157, 749–781. https://doi.org/10.1007/s11205-021-02668-w
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