THE BACKGROUND IMPACT IN HEI MATH LECTURES – AN EXPERIENCE IN MATH IN THE 1ST YEAR OF ACCOUNTING AND MANAGEMENT DEGREE

Resume

This work is cataloged in the Scientific Portal. Officially published in International Conference on Education and New Learning Technologies - EDULEARN16 (2016). Referenced as: "Nunes, Maria Paula; Soares, Filomena; Lopes, Ana Paula".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.21125/edulearn.2016.1942

Keywords

Educational Experiences Higher education Mathematics Curricula Personalized Learning Active Learning Student engagement

Bibliographic & Editorial Details

Venue / Journal / Book International Conference on Education and New Learning Technologies - EDULEARN16

Publisher IATED

Pagination Pages 14677 - 14692

Publication Venue / Conference Barcelona, Spain, Spain

Official Identifiers

DOI: 10.21125/edulearn.2016.1942

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:

Nunes, Maria Paula; Soares, Filomena; Lopes, Ana Paula

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

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THE BACKGROUND IMPACT IN HEI MATH LECTURES – AN EXPERIENCE IN MATH IN THE 1ST YEAR OF ACCOUNTING AND MANAGEMENT DEGREE 🔓

Resume

Keywords

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

THE BACKGROUND IMPACT IN HEI MATH LECTURES – AN EXPERIENCE IN MATH IN THE 1ST YEAR OF ACCOUNTING AND MANAGEMENT DEGREE 🔓

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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