Work

Assessing the impact of COVID-19 using machine learning techniques

Year: 2025

Type: article

Abstract: Beatriz-Afonso, A., Cruz-Jesus, F., Nunes, C., Castelli, M., Oliveira, T., & Castro, L. C. E. (2025). Drivers of academic achievement in high school: Assessing the impact of COVID-19 using machine learning techniques. Educational Technology and Society, 28(2), 148-168. https://doi.org/10.30191/ETS.202504_28(2).RP09 --- This work was supported by national funds through FCT (Fundação para a Ciência e Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS) (https://doi.org/10.54499/UIDB/04152/2020).

Source: New University of Lisbon's Repository (New University of Lisbon)

DOI: 10.30191/ets.202504_28(2).rp09

Authors: Beatriz-Afonso, Ana, Cruz-Jesus, Frederico, Nunes, Catarina, Castelli, Mauro, Oliveira, Tiago, Castro, Luísa Canto e

Institution: Universidade Nova de Lisboa

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W6889913213

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