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Academic integrity in the HyFlex learning environment

This study analyzed how students' personality traits and course attendance preferences impact academic integrity in the HyFlex learning environment. 535 undergraduate students were given a choice among courses face-to-face (F2F), online, or a hybrid combination of both. The Big Five Inventory a...

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Detalles Bibliográficos
Autores principales: Eshet, Yovav, Dickman, Nomy, Ben Zion, Yossi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925967/
https://www.ncbi.nlm.nih.gov/pubmed/36798777
http://dx.doi.org/10.1016/j.heliyon.2023.e13301
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author Eshet, Yovav
Dickman, Nomy
Ben Zion, Yossi
author_facet Eshet, Yovav
Dickman, Nomy
Ben Zion, Yossi
author_sort Eshet, Yovav
collection PubMed
description This study analyzed how students' personality traits and course attendance preferences impact academic integrity in the HyFlex learning environment. 535 undergraduate students were given a choice among courses face-to-face (F2F), online, or a hybrid combination of both. The Big Five Inventory and the Academic Integrity Inventory were administered through online questionnaires to STEM students. The findings show that emotional stability and agreeableness positively relate to academic integrity irrespective of attendance mode. So do conscientiousness and agreeableness in the hybrid environment. Conversely, the primarily F2F attendance mode and the personality trait of extraversion are tied to markedly low levels of academic integrity. We conclude that unveiling students' personality traits associated with ethical behaviour would be beneficial when designing HyFlex courses in different learning environments, whether human (F2F), machine-made (online) or a combination of both (hybrid). This, in turn, contributes to better higher quality education and enhances academic integrity.
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spelling pubmed-99259672023-02-15 Academic integrity in the HyFlex learning environment Eshet, Yovav Dickman, Nomy Ben Zion, Yossi Heliyon Research Article This study analyzed how students' personality traits and course attendance preferences impact academic integrity in the HyFlex learning environment. 535 undergraduate students were given a choice among courses face-to-face (F2F), online, or a hybrid combination of both. The Big Five Inventory and the Academic Integrity Inventory were administered through online questionnaires to STEM students. The findings show that emotional stability and agreeableness positively relate to academic integrity irrespective of attendance mode. So do conscientiousness and agreeableness in the hybrid environment. Conversely, the primarily F2F attendance mode and the personality trait of extraversion are tied to markedly low levels of academic integrity. We conclude that unveiling students' personality traits associated with ethical behaviour would be beneficial when designing HyFlex courses in different learning environments, whether human (F2F), machine-made (online) or a combination of both (hybrid). This, in turn, contributes to better higher quality education and enhances academic integrity. Elsevier 2023-01-29 /pmc/articles/PMC9925967/ /pubmed/36798777 http://dx.doi.org/10.1016/j.heliyon.2023.e13301 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Eshet, Yovav
Dickman, Nomy
Ben Zion, Yossi
Academic integrity in the HyFlex learning environment
title Academic integrity in the HyFlex learning environment
title_full Academic integrity in the HyFlex learning environment
title_fullStr Academic integrity in the HyFlex learning environment
title_full_unstemmed Academic integrity in the HyFlex learning environment
title_short Academic integrity in the HyFlex learning environment
title_sort academic integrity in the hyflex learning environment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925967/
https://www.ncbi.nlm.nih.gov/pubmed/36798777
http://dx.doi.org/10.1016/j.heliyon.2023.e13301
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