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Attitudes toward mathematics/statistics, anxiety, self-efficacy and academic performance: an artificial neural network

Mathematics and statistical skills are crucial to daily life. However, many students found mathematics difficult to learn and understand. This research aimed to find relationships between mathematics and statistical attitudes and emotional dimensions, such as anxiety or self-efficacy. The sample con...

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Autores principales: Hernández de la Hera, Juan Manuel, Morales-Rodríguez, Francisco Manuel, Rodríguez-Gobiet, José Pablo, Martínez-Ramón, Juan Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363989/
https://www.ncbi.nlm.nih.gov/pubmed/37492445
http://dx.doi.org/10.3389/fpsyg.2023.1214892
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author Hernández de la Hera, Juan Manuel
Morales-Rodríguez, Francisco Manuel
Rodríguez-Gobiet, José Pablo
Martínez-Ramón, Juan Pedro
author_facet Hernández de la Hera, Juan Manuel
Morales-Rodríguez, Francisco Manuel
Rodríguez-Gobiet, José Pablo
Martínez-Ramón, Juan Pedro
author_sort Hernández de la Hera, Juan Manuel
collection PubMed
description Mathematics and statistical skills are crucial to daily life. However, many students found mathematics difficult to learn and understand. This research aimed to find relationships between mathematics and statistical attitudes and emotional dimensions, such as anxiety or self-efficacy. The sample consisted of two groups: the first group was formed by 276 Spanish students (75.7% female with an average age of 19.92 years) from different degrees at the University of Granada and the second one by agroup of 19 secondary school students from of a Secondary School in Granada, Spain (57.9% male students between 14 and 16 years of age from a public school). The instruments applied were a scale of attitude toward mathematics, a scale of attitude toward statistics, a scale to assess mathematical anxiety, and a scale to assess self-efficacy. An artificial neural network for the backpropagation algorithm was designed using dependent variable. The results showed a negative impact of anxiety on those attitudes, while self-efficacy had a positive impact on those mentioned attitudes. Therefore, emotional education is important in the well-being, and teaching in mathematics. The usefulness of the innovative neural network analysis in predicting the constructs evaluated in this study can be highlighted.
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spelling pubmed-103639892023-07-25 Attitudes toward mathematics/statistics, anxiety, self-efficacy and academic performance: an artificial neural network Hernández de la Hera, Juan Manuel Morales-Rodríguez, Francisco Manuel Rodríguez-Gobiet, José Pablo Martínez-Ramón, Juan Pedro Front Psychol Psychology Mathematics and statistical skills are crucial to daily life. However, many students found mathematics difficult to learn and understand. This research aimed to find relationships between mathematics and statistical attitudes and emotional dimensions, such as anxiety or self-efficacy. The sample consisted of two groups: the first group was formed by 276 Spanish students (75.7% female with an average age of 19.92 years) from different degrees at the University of Granada and the second one by agroup of 19 secondary school students from of a Secondary School in Granada, Spain (57.9% male students between 14 and 16 years of age from a public school). The instruments applied were a scale of attitude toward mathematics, a scale of attitude toward statistics, a scale to assess mathematical anxiety, and a scale to assess self-efficacy. An artificial neural network for the backpropagation algorithm was designed using dependent variable. The results showed a negative impact of anxiety on those attitudes, while self-efficacy had a positive impact on those mentioned attitudes. Therefore, emotional education is important in the well-being, and teaching in mathematics. The usefulness of the innovative neural network analysis in predicting the constructs evaluated in this study can be highlighted. Frontiers Media S.A. 2023-07-10 /pmc/articles/PMC10363989/ /pubmed/37492445 http://dx.doi.org/10.3389/fpsyg.2023.1214892 Text en Copyright © 2023 Hernández de la Hera, Morales-Rodríguez, Rodríguez-Gobiet and Martínez-Ramón. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Hernández de la Hera, Juan Manuel
Morales-Rodríguez, Francisco Manuel
Rodríguez-Gobiet, José Pablo
Martínez-Ramón, Juan Pedro
Attitudes toward mathematics/statistics, anxiety, self-efficacy and academic performance: an artificial neural network
title Attitudes toward mathematics/statistics, anxiety, self-efficacy and academic performance: an artificial neural network
title_full Attitudes toward mathematics/statistics, anxiety, self-efficacy and academic performance: an artificial neural network
title_fullStr Attitudes toward mathematics/statistics, anxiety, self-efficacy and academic performance: an artificial neural network
title_full_unstemmed Attitudes toward mathematics/statistics, anxiety, self-efficacy and academic performance: an artificial neural network
title_short Attitudes toward mathematics/statistics, anxiety, self-efficacy and academic performance: an artificial neural network
title_sort attitudes toward mathematics/statistics, anxiety, self-efficacy and academic performance: an artificial neural network
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363989/
https://www.ncbi.nlm.nih.gov/pubmed/37492445
http://dx.doi.org/10.3389/fpsyg.2023.1214892
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