Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies
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Morales Rodríguez, Francisco Manuel; Martínez Ramón, Juan Pedro; Narváez Peláez, Manuel Alejandro; Corvasce, Catalda; Narváez PeláezEditorial
MDPI
Materia
Coexistence Coping School anxiety Social skills Stress
Date
2023-09-14Referencia bibliográfica
Morales-Rodríguez, F.M.; Martínez-Ramón, J.P.; Narváez Peláez, M.A.; Corvasce, C. Understanding School Anxiety in Italian Adolescence through an Artificial Neural Network: Influence of Social Skills and Coping Strategies. Children 2023, 10, 1688. [https://doi.org/10.3390/children10101688]
Abstract
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.