Loughborough University
Browse
Annals of the New York Academy of Sciences - 2023 - Mammarella - Multidimensional components of state mathematics anxiety (1).pdf (953.23 kB)

Multidimensional components of (state) mathematics anxiety: behavioral, cognitive, emotional, and psychophysiological consequences

Download (953.23 kB)
journal contribution
posted on 2023-05-16, 13:27 authored by Irene C Mammarella, Sara Caviola, Serena RossiSerena Rossi, Elisabetta Patron, Daniela Palomba

The present study aimed to analyze the different components of state mathematics anxiety that students experienced while solving calculation problems by manipulating their stress levels. A computerized mathematical task was administered to 165 fifth-graders randomly assigned to three different groups: positive, negative, and control conditions, in which positive, negative, or no feedback during the task was given, respectively. Behavioral (task performance), emotional (negative feelings), cognitive (worrisome thoughts and perceived competence), and psychophysiological responses (skin conductance and vagal withdrawal) were analyzed. Behavioral responses did not differ in the positive and negative conditions, while the latter was associated with children's reportedly negative emotional states, worries, and perceived lack of competence. The stress induced in the negative condition led to an increase in skin conductance and cardiac vagal withdrawal in children. Our data suggest the importance of considering students’ interpretation of mathematics-related experiences, which might affect their emotional, cognitive, and psychophysiological responses.

History

School

  • Science

Department

  • Mathematics Education Centre

Published in

Annals of the New York Academy of Sciences

Volume

1523

Issue

1

Pages

91-103

Publisher

Wiley

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Wiley under the Creative Commons Attribution-NonCommercial 4.0 International Licence (CC BY-NC). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc/4.0/

Publication date

2023-03-25

Copyright date

2023

ISSN

0077-8923

eISSN

1749-6632

Language

  • en

Depositor

Serena Rossi. Deposit date: 28 March 2023

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC