AN EXPERIMENT WITH ONLINE PRACTICE FOR ASSESSMENT

Resume

This work is cataloged in the Scientific Portal. Officially published in INTED (2020). Referenced as: "Vieira, Isabel; Lopes, Ana Paula; Lopes, Isabel Cristina; Azevedo, José; Torres, Cristina; Babo, Lurdes".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.21125/inted.2020.1858

Keywords

Higher education Mathematics Technology Assessement

Bibliographic & Editorial Details

Venue / Journal / Book INTED

Publisher IATED

Pagination Pages 28678 - 28692

Publication Venue / Conference Valência, Spain

Role Author

Official Identifiers

DOI: 10.21125/inted.2020.1858

ISSN: 2340-1079

Autores & Descoberta de Ciência ID

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

Autor(es) da Instituição

I

Isabel Cristina da Silva Lopes Investigador

Ciência ID: BC14-DF88-AEBC

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A

Ana Paula Ferreira Fernandes Lopes Investigador

Ciência ID: 8B17-B2C1-6036

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C

Cristina Maria Dias Pereira Torres Investigador

Ciência ID: 111C-A2B8-EBB4

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J

José Manuel Monteiro Lopes de Azevedo Investigador

Ciência ID: D412-FBB4-852A

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M

Maria Isabel Coutinho Vieira Investigador

Ciência ID: 7312-2D3B-F677

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Coautores da Obra

Autores discriminados na citação da publicação:

Vieira, Isabel; Lopes, Ana Paula; Lopes, Isabel Cristina; Azevedo, José; Torres, Cristina; Babo, Lurdes

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

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AN EXPERIMENT WITH ONLINE PRACTICE FOR ASSESSMENT 🔓

Resume

Keywords

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

AN EXPERIMENT WITH ONLINE PRACTICE FOR ASSESSMENT 🔓

Resume

Keywords

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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