Modelling the antecedents of students’ attitudes toward examination malpractice and intentions in distance education

Examination malpractice in distance education is a growing concern as it is gaining roots in the academic work of students in recent years. The prevalence of academic malpractice is difficult to measure, as it often goes unreported or undetected, but unravelling the determinants of examination malpractice attitudes and intentions will be helpful to halt its occurrence. Following a quantitative approach based on a correlational survey design, a questionnaire was used to collect data from 460 selected distance education students through a cluster sampling technique. Data collected were analysed using both descriptive statistics and Partial Least Squares-Structural Equation Modelling (PLS-SEM) techniques. Findings from the analysis revealed that examination malpractice awareness, examination malpractice management, and examination malpractice penalty determined students’ attitudes toward examination malpractice. Finally, students’ attitudes determined their intentions to engage in examination malpractice. The Importance-Performance Map Analysis (IPMA) showed that examination malpractice management was the most important factor influencing students’ attitudes toward examination malpractice. Based on the findings, recommendations were made for policy and practice towards the formulation of polices and best management practices against examination malpractice among students in distance higher education.

Authors

Institutions

Publication Details

Journal
Discover Education
Published
2025-11-22
DOI
https://doi.org/10.1007/s44217-025-00995-5
Primary Topic
Academic integrity and plagiarism
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelling the antecedents of students’ attitudes toward examination malpractice and intentions in distance education

Brandford Bervell, Isaac Eliot Nyieku, Beatrice Asante Somuah, Dickson Okoree Mireku et al.
Discover Education
Academic integrity and plagiarism
article

Modelling the antecedents of students’ attitudes toward examination malpractice and intentions in distance education

Brandford Bervell, Isaac Eliot Nyieku, Beatrice Asante Somuah, Dickson Okoree Mireku, Matthew Quaidoo, Sally Abena Baafi-Frimpong
article en

Abstract

Examination malpractice in distance education is a growing concern as it is gaining roots in the academic work of students in recent years. The prevalence of academic malpractice is difficult to measure, as it often goes unreported or undetected, but unravelling the determinants of examination malpractice attitudes and intentions will be helpful to halt its occurrence. Following a quantitative approach based on a correlational survey design, a questionnaire was used to collect data from 460 selected distance education students through a cluster sampling technique. Data collected were analysed using both descriptive statistics and Partial Least Squares-Structural Equation Modelling (PLS-SEM) techniques. Findings from the analysis revealed that examination malpractice awareness, examination malpractice management, and examination malpractice penalty determined students’ attitudes toward examination malpractice. Finally, students’ attitudes determined their intentions to engage in examination malpractice. The Importance-Performance Map Analysis (IPMA) showed that examination malpractice management was the most important factor influencing students’ attitudes toward examination malpractice. Based on the findings, recommendations were made for policy and practice towards the formulation of polices and best management practices against examination malpractice among students in distance higher education.

Discover EducationVol. 4(1)
University of Cape Coast (GH)
Openalex Percentile: Top 64%
Academic integrity and plagiarism
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.