Does statistics anxiety impact academic dishonesty? Academic challenges in the age of distance learning

Abstract This study discusses the mediating role of statistics anxiety and motivation in the relationship comprising academic dishonesty, personality traits, and previous academic achievements in three different learning environments (Face to Face -F2F, Planned Online Environment – POE, and Emergenc...

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Main Authors: Yovav Eshet, Pnina Steinberger, Keren Grinautsky
Format: Article
Language:English
Published: BMC 2022-10-01
Series:International Journal for Educational Integrity
Subjects:
Online Access:https://doi.org/10.1007/s40979-022-00117-w
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author Yovav Eshet
Pnina Steinberger
Keren Grinautsky
author_facet Yovav Eshet
Pnina Steinberger
Keren Grinautsky
author_sort Yovav Eshet
collection DOAJ
description Abstract This study discusses the mediating role of statistics anxiety and motivation in the relationship comprising academic dishonesty, personality traits, and previous academic achievements in three different learning environments (Face to Face -F2F, Planned Online Environment – POE, and Emergency Remote Teaching – ERT). Self-determination theory (SDT) provides a broad psychological framework for these phenomena. Data were collected from 649 bachelor-degree students in the Social Sciences in five Israeli academic institutions. Structural equation modelling was employed to investigate the research variables’ relationships. Findings indicate that statistics anxiety mediates the relationship between personality traits and academic dishonesty in the POE and the ERT learning environments. Findings also indicate the relationship between students’ achievements and academic dishonesty, but only in the ERT learning environment. In contrast, motivation mediates the relationship between students’ achievements and statistics anxiety only in the POE learning environment. This study unveils that learning environments determine the mediating role of statistical anxiety. In digital learning environments (POE, ERT), mediation has been found between students’ personality traits and academic dishonesty. No similar parallel mediation could be established in the physical learning environment, F2F. Thus, we conclude that online courses should be designed according to student-centred approaches.
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spelling doaj.art-e418caa2de5f473a96ca6cc5352e89bd2022-12-22T04:30:04ZengBMCInternational Journal for Educational Integrity1833-25952022-10-0118111910.1007/s40979-022-00117-wDoes statistics anxiety impact academic dishonesty? Academic challenges in the age of distance learningYovav Eshet0Pnina Steinberger1Keren Grinautsky2Interdisciplinary Studies, Zefat Academic CollegeOrot Israel College of EducationFaculty of Behavioral Sciences, Zefat Academic CollegeAbstract This study discusses the mediating role of statistics anxiety and motivation in the relationship comprising academic dishonesty, personality traits, and previous academic achievements in three different learning environments (Face to Face -F2F, Planned Online Environment – POE, and Emergency Remote Teaching – ERT). Self-determination theory (SDT) provides a broad psychological framework for these phenomena. Data were collected from 649 bachelor-degree students in the Social Sciences in five Israeli academic institutions. Structural equation modelling was employed to investigate the research variables’ relationships. Findings indicate that statistics anxiety mediates the relationship between personality traits and academic dishonesty in the POE and the ERT learning environments. Findings also indicate the relationship between students’ achievements and academic dishonesty, but only in the ERT learning environment. In contrast, motivation mediates the relationship between students’ achievements and statistics anxiety only in the POE learning environment. This study unveils that learning environments determine the mediating role of statistical anxiety. In digital learning environments (POE, ERT), mediation has been found between students’ personality traits and academic dishonesty. No similar parallel mediation could be established in the physical learning environment, F2F. Thus, we conclude that online courses should be designed according to student-centred approaches.https://doi.org/10.1007/s40979-022-00117-wAcademic dishonestyStatistics anxietyPersonality traitsLearning EnvironmentMotivation
spellingShingle Yovav Eshet
Pnina Steinberger
Keren Grinautsky
Does statistics anxiety impact academic dishonesty? Academic challenges in the age of distance learning
International Journal for Educational Integrity
Academic dishonesty
Statistics anxiety
Personality traits
Learning Environment
Motivation
title Does statistics anxiety impact academic dishonesty? Academic challenges in the age of distance learning
title_full Does statistics anxiety impact academic dishonesty? Academic challenges in the age of distance learning
title_fullStr Does statistics anxiety impact academic dishonesty? Academic challenges in the age of distance learning
title_full_unstemmed Does statistics anxiety impact academic dishonesty? Academic challenges in the age of distance learning
title_short Does statistics anxiety impact academic dishonesty? Academic challenges in the age of distance learning
title_sort does statistics anxiety impact academic dishonesty academic challenges in the age of distance learning
topic Academic dishonesty
Statistics anxiety
Personality traits
Learning Environment
Motivation
url https://doi.org/10.1007/s40979-022-00117-w
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