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Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies
School anxiety depends on multiple factors that occur directly or indirectly in the teaching–learning process, such as going to the blackboard in class or reporting low grades at home. Other factors that influence school climate are social skills and coping strategies. That said, the aim of this res...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605030/ https://www.ncbi.nlm.nih.gov/pubmed/37892351 http://dx.doi.org/10.3390/children10101688 |
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author | Morales-Rodríguez, Francisco Manuel Martínez-Ramón, Juan Pedro Narváez Peláez, Manuel Alejandro Corvasce, Catalda |
author_facet | Morales-Rodríguez, Francisco Manuel Martínez-Ramón, Juan Pedro Narváez Peláez, Manuel Alejandro Corvasce, Catalda |
author_sort | Morales-Rodríguez, Francisco Manuel |
collection | PubMed |
description | School anxiety depends on multiple factors that occur directly or indirectly in the teaching–learning process, such as going to the blackboard in class or reporting low grades at home. Other factors that influence school climate are social skills and coping strategies. That said, the aim of this research was to analyze the sources of school anxiety, coping strategies, and social skills in Italian secondary school students through an artificial neural network. For this purpose, a quantitative and ex post facto design was used in which the Inventory of School Anxiety (IAES), the Coping Scale for Children (EAN), and the Questionnaire for the Evaluation of Social Skills student version (EHS-A) were administered. The results showed that cognitive avoidance and behavioral avoidance coping strategies, together with the lack of social skills in students, are the variables that contributed the most to school anxiety scores in the artificial neural network. The conclusions revolve around the need to develop primary prevention programs. |
format | Online Article Text |
id | pubmed-10605030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106050302023-10-28 Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies Morales-Rodríguez, Francisco Manuel Martínez-Ramón, Juan Pedro Narváez Peláez, Manuel Alejandro Corvasce, Catalda Children (Basel) Article School anxiety depends on multiple factors that occur directly or indirectly in the teaching–learning process, such as going to the blackboard in class or reporting low grades at home. Other factors that influence school climate are social skills and coping strategies. That said, the aim of this research was to analyze the sources of school anxiety, coping strategies, and social skills in Italian secondary school students through an artificial neural network. For this purpose, a quantitative and ex post facto design was used in which the Inventory of School Anxiety (IAES), the Coping Scale for Children (EAN), and the Questionnaire for the Evaluation of Social Skills student version (EHS-A) were administered. The results showed that cognitive avoidance and behavioral avoidance coping strategies, together with the lack of social skills in students, are the variables that contributed the most to school anxiety scores in the artificial neural network. The conclusions revolve around the need to develop primary prevention programs. MDPI 2023-10-14 /pmc/articles/PMC10605030/ /pubmed/37892351 http://dx.doi.org/10.3390/children10101688 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Morales-Rodríguez, Francisco Manuel Martínez-Ramón, Juan Pedro Narváez Peláez, Manuel Alejandro Corvasce, Catalda Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies |
title | Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies |
title_full | Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies |
title_fullStr | Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies |
title_full_unstemmed | Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies |
title_short | Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies |
title_sort | understanding school anxiety in italian adolescence through an artificial neural network: influence of social skills and coping strategies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605030/ https://www.ncbi.nlm.nih.gov/pubmed/37892351 http://dx.doi.org/10.3390/children10101688 |
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