Testing a Psychological Model of Post-Pandemic Academic Cheating

Abstract Concerns over students engaging in various forms of academic misconduct persist, especially with the post-COVID19 rise in online learning and assessment. Research has demonstrated a clear role of the personality trait psychopathy in cheating, yet little is known about why this relationship exists. Building on the research by Curtis et al. ( Personality and Individual Differences, 185 , 111277, 2022a), this study tested an extended Theory of Reasoned Action (TRA) model, including psychopathy as a precursor to attitudes and subjective norms, and measures of anticipated moral emotions (shame and guilt), to predict cheating intentions and cheating behaviours. A cross-sectional survey was administered online to university students from around the globe ( n = 257). Results from a serial mediation analysis revealed that psychopathy predicted academic misconduct behaviours indirectly through attitudes, subjective norms, anticipated guilt (but not anticipated shame), and intentions. These findings indicate that cheating may be reduced by modifying attitudes to cheating, subjective norms regarding cheating, and anticipated feelings of guilt related to engaging in academic misconduct. In addition, the results revealed high rates of several forms of cheating, particularly in unsupervised online tests, which have been used more widely since the COVID-19 pandemic. This finding raises concerns regarding the poor security of such assessments.

Authors

Institutions

Publication Details

Journal
Journal of Academic Ethics
Published
2024-08-29
DOI
https://doi.org/10.1007/s10805-024-09561-4
Citations
3
Primary Topic
Academic integrity and plagiarism
Type
article
Field-Weighted Citation Impact
1.58

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Testing a Psychological Model of Post-Pandemic Academic Cheating

Joseph Clare, Guy J. Curtis, Tiana P. Johnson-Clements
3 citations
Journal of Academic Ethics
Academic integrity and plagiarism
1.58
article

Testing a Psychological Model of Post-Pandemic Academic Cheating

Joseph Clare, Guy J. Curtis, Tiana P. Johnson-Clements
article en
3 citations

Abstract

Abstract Concerns over students engaging in various forms of academic misconduct persist, especially with the post-COVID19 rise in online learning and assessment. Research has demonstrated a clear role of the personality trait psychopathy in cheating, yet little is known about why this relationship exists. Building on the research by Curtis et al. ( Personality and Individual Differences, 185 , 111277, 2022a), this study tested an extended Theory of Reasoned Action (TRA) model, including psychopathy as a precursor to attitudes and subjective norms, and measures of anticipated moral emotions (shame and guilt), to predict cheating intentions and cheating behaviours. A cross-sectional survey was administered online to university students from around the globe ( n = 257). Results from a serial mediation analysis revealed that psychopathy predicted academic misconduct behaviours indirectly through attitudes, subjective norms, anticipated guilt (but not anticipated shame), and intentions. These findings indicate that cheating may be reduced by modifying attitudes to cheating, subjective norms regarding cheating, and anticipated feelings of guilt related to engaging in academic misconduct. In addition, the results revealed high rates of several forms of cheating, particularly in unsupervised online tests, which have been used more widely since the COVID-19 pandemic. This finding raises concerns regarding the poor security of such assessments.

Journal of Academic EthicsVol. 23(3)
The University of Western Australia (AU)
University of Western Australia
Good health and well-being
Openalex Percentile: Top 14%
Academic integrity and plagiarism
1.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.