Adaptation and anxiety assessment in undergraduate nursing students

Ana Costa, Analisa Candeias, Célia Ribeiro, Herlander Rodrigues, Jorge Mesquita, Luís Caldas, Beatriz Araújo, Isabel Araújo, Henrique Vicente, Jorge Ribeiro, José Neves*

*Autor correspondente para este trabalho

Resultado de pesquisarevisão de pares

1 Citação (Scopus)

Resumo

The experiences and feelings in a first phase of transition from undergraduate to graduate courses may lead to some kind of anxiety, depression, malaise or loneliness that are not easily overwhelmed, no doubt the educational character of each one comes into play, since the involvement of each student in academic practice depends on his/her openness to the world. In this study it will be analyzed and evaluated the relationships between academic experiences and the correspondent anxiety levels. Indeed, it is important not only a diagnose and evaluation of the students’ needs for pedagogical and educational reorientation, but also an identification of what knowledge and attitudes subsist at different stages of their academic experience. The system envisaged stands for a Hybrid Artificial Intelligence Agency that integrates the phases of data gathering, processing and results’ analysis. It intends to uncover the students’ states of Adaptation, Anxiety and Anxiety Trait in terms of an evaluation of their entropic states, according to the 2nd Law of Thermodynamics, i.e., that energy cannot be created or destroyed; the total quantity of energy in the universe stays the same. The logic procedures are based on a Logic Programming approach to Knowledge Representation and Reasoning complemented with an Artificial Neural Network approach to computing.
Idioma originalEnglish
Título da publicação do anfitriãoIntelligent Data Engineering and Automated Learning – IDEAL 2020 - 21st International Conference, 2020, Proceedings
EditoresCésar Analide, Paulo Novais, David Camacho, Hujun Yin
EditoraSpringer Science and Business Media Deutschland GmbH
Páginas112-123
Número de páginas12
ISBN (impresso)9783030623616
DOIs
Estado da publicaçãoPublicado - 2020
Evento21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 - Guimaraes
Duração: 4 nov 20206 nov 2020

Série de publicação

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12489 LNCS
ISSN (impresso)0302-9743
ISSN (eletrónico)1611-3349

Conferência

Conferência21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020
País/TerritórioPortugal
CidadeGuimaraes
Período4/11/206/11/20

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