The development and implementation of math projects in a HEI: expectations, objectives, experiences and analysis

Resume

This work is cataloged in the Scientific Portal. Officially published in INTED2016 - 10th International Technology, Education and Development Conference (2016). Referenced as: "Lopes, Ana Paula; Soares, Filomena".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.21125/INTED.2016.0540

Keywords

Online Learning Innovation Technology in Teaching and Learning Mathematics Learning Analytics

Bibliographic & Editorial Details

Venue / Journal / Book INTED2016 - 10th International Technology, Education and Development Conference

Publisher IATED

Pagination Pages 25890 - 25904

Publication Venue / Conference Valencia, Spain, Spain

Role Coauthor

Official Identifiers

DOI: 10.21125/INTED.2016.0540

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

A

Ana Paula Ferreira Fernandes Lopes Investigador

Ciência ID: 8B17-B2C1-6036

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F

Filomena Maria da Silva Pereira Baptista Soares Investigador

Ciência ID: 661E-1FDB-58FB

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Coautores da Obra

Autores discriminados na citação da publicação:

Lopes, Ana Paula; Soares, Filomena

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

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The development and implementation of math projects in a HEI: expectations, objectives, experiences and analysis 🔓

Resume

Keywords

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

The development and implementation of math projects in a HEI: expectations, objectives, experiences and analysis 🔓

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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