Artificial Intelligence in Support of Teaching: Predictive Models and Adaptive Systems for Personalising Learning

Resume

This work is cataloged in the Scientific Portal. Officially published in Centeries 2025 (2025). Referenced as: "Duque, Jorge; Moreira, José; Silva, Firmino; Gonçalves, Helena".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.1016/j.procs.2026.02.454

Bibliographic & Editorial Details

Venue / Journal / Book Centeries 2025

Pagination Pages 192 - 199

Publication Venue / Conference Saudi Arabia

Role Author

Official Identifiers

DOI: 10.1016/j.procs.2026.02.454

ISSN: 1877-0509

Autores & Descoberta de Ciência ID

Identificação dos autores da instituição e deteção de coautores via FCT Ciência Vitae.

Autor(es) da Instituição

F

Firmino Oliveira da Silva ISLA GAIA / CEOS.PP

Ciência ID: C21A-91DC-B90B

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J

Jorge Manuel Pereira Duque ISLA GAIA

Ciência ID: FD15-6377-8559

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J

José Joaquim Magalhães Moreira ISLA GAIA

Ciência ID: 8A10-CDB0-B9DC

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Coautores da Obra

Autores discriminados na citação da publicação:

Duque, Jorge; Moreira, José; Silva, Firmino; Gonçalves, Helena

Clique no botão acima para consultar a API da FCT e descobrir os perfis Ciência ID dos coautores.

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Artificial Intelligence in Support of Teaching: Predictive Models and Adaptive Systems for Personalising Learning 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Artificial Intelligence in Support of Teaching: Predictive Models and Adaptive Systems for Personalising Learning 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

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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