Institutional and Student Digital Twins for the Sustainable Prevention of Dropout in Higher Education

Abstract

Esta obra encontra-se catalogada no Portal Científico. Publicada oficialmente em 11th Edition ICT4SD International ICT summit & Awards 2026 (2026). Referenciada como: "Duque, Jorge; Godinho, António; Moreira, José Joaquim; Silva, F. O.".

Detalhes Bibliográficos e Editoriais

Veículo / Revista / Livro 11th Edition ICT4SD International ICT summit & Awards 2026

Editora / Publisher Springer

Descoberta de Coautores & Ciência ID

Autores discriminados na citação da obra:

Duque, Jorge; Godinho, António; Moreira, José Joaquim; Silva, F. O.

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Institutional and Student Digital Twins for the Sustainable Prevention of Dropout in Higher Education

Abstract

Detalhes Bibliográficos e Editoriais

Descoberta de Coautores & Ciência ID

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Institutional and Student Digital Twins for the Sustainable Prevention of Dropout in Higher Education

Abstract

Detalhes Bibliográficos e Editoriais

Descoberta de Coautores & Ciência ID

Other Related Publications

AI-Driven Predictive Model for Diabetes Risk Assessment - A Class-Balanced Machine Learning Approach with Web-Based Deployment

SiSchool: A QR-Based Mobile Device Control System for Educational Environments

From predicting dropout rates to responsible intervention: explainable machine learning for academic success in higher education

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