ENHANCING TRANSDISCIPLINARITY IN HIGHER EDUCATION PROBLEM-BASED LEARNING: THREATS AND OPPORTUNITIES FROM THE VIEWPOINT OF FACULTY MEMBERS

Resume

This work is cataloged in the Scientific Portal. Referenced as: "Fernando Pinto dos Santos; Cidália Neves; Sandra Gomes; Patricia Oliveira; Mafalda Nogueira".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.21125/edulearn.2022.1730

Bibliographic & Editorial Details

Official Identifiers

DOI: 10.21125/edulearn.2022.1730

Discovery of Co-authors & Ciência ID

Authors itemized in work citation:

Fernando Pinto dos Santos; Cidália Neves; Sandra Gomes; Patricia Oliveira; Mafalda Nogueira

Other Related Publications

Conference paper • 2026

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

Conference paper • 2026

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

Conference paper • 2026

ENHANCING TRANSDISCIPLINARITY IN HIGHER EDUCATION PROBLEM-BASED LEARNING: THREATS AND OPPORTUNITIES FROM THE VIEWPOINT OF FACULTY MEMBERS 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Discovery of Co-authors & 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

Export Bibliographic Citation