| Literature DB >> 30016945 |
John Jeh Lung Tiong1, Hui Ling Kho2, Chun-Wai Mai3, Hui Ling Lau2, Syed Shahzad Hasan3.
Abstract
BACKGROUND: This study was carried out to gauge the prevalence of academic dishonesty among academics in Malaysian universities. A direct comparison was made between academics of healthcare and non-healthcare courses to note the difference in the level of academic integrity between the two groups. In addition, the predisposing factors and implications of academic dishonesty, as well as the different measures perceived to be effective at curbing this problem were also investigated.Entities:
Keywords: Academic dishonesty; Academics; Healthcare; Non-healthcare
Mesh:
Year: 2018 PMID: 30016945 PMCID: PMC6050687 DOI: 10.1186/s12909-018-1274-3
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Demographics of respondents
| Healthcare Academic | Non-healthcare Academic | |
|---|---|---|
| Total | 68 (48.2%) | 73 (51.8%) |
| Male | 23 (16.3%) | 30 (21.3%) |
| Female | 45 (27.9%) | 43 (30.5%) |
| Years of Teaching Experience | ||
| < 5 years | 25 (17.7%) | 11 (7.8%) |
| 5–9 years | 24 (17.0%) | 25 (17.7%) |
| 10–14 years | 9 (6.4%) | 13 (9.2%) |
| 15–19 years | 4 (2.8%) | 9 (6.4%) |
| > 19 years | 6 (4.3%) | 15 (10.6%) |
| Academic Ranking | ||
| Lecturer | 36 (25.5%) | 28 (19.9%) |
| Senior Lecturer | 25 (17.7%) | 40 (28.4%) |
| Associate Professor | 5 (3.5%) | 2 (1.4%) |
| Professor | 2 (1.4%) | 3 (2.1%) |
Fig. 1Prevalence of dishonest acts among academics. a The prevalence of any form of dishonest acts either encountered personally or through hearsay among peers, as reported by respondents (n = 141). Each form of academic misconduct was scored from 0 to 1, where 0 = have not heard/encountered; 0.5 = Hearsay/rumours; 1 = Direct personal encounter. Bars represent the average score ± standard deviation for each dishonest act. The dishonest acts were ranked from the most encountered (highest score) to the least encountered (lowest score). Different lowercase letters above the error bars indicate statistically significant differences (p < 0.05; Least Statistical Difference (LSD) post hoc test). b The average score of each dishonest act ± standard deviation from healthcare academics was compared to non-healthcare academics. Asterisks (*) indicate statistically significant differences (p < 0.05, independent t-test)
Thematic analysis of other forms of academic dishonesty among academics based on respondents’ feedback
| Theme | Comments |
|---|---|
| Giving of unjust marks to students | “ |
| Bending rules for some students/practising favouritism toward certain students | “ |
| Using research grants for personal purposes | “ |
| Covering up misconducts of colleagues | “ |
Abbreviations: HC healthcare academic, NH non-healthcare academic
Thematic analysis of the reasons for the low reporting rate of academic dishonesty based on respondents’ feedback
| Theme | Comments |
|---|---|
| Covered up to protect the name of the institution | “ |
| Difficulty in establishing evidence | |
| Weakness in the reporting system | “ |
| No action expected to be taken against the perpetrator | |
| The belief of giving others a second chance |
Abbreviations: HC, healthcare academic, NH non-healthcare academic
Fig. 2The adverse implications caused by academic dishonesty among academics. a The perceived severity of an adverse effect affecting the university as a result of academic dishonesty, as rated by respondents (n = 141). This was scored from 0 to 3 where, 0 = Does not affect at all; 1 = Mildly affect; 2 = Moderately affect; 3 = Severely affect. Bars represent the average score ± standard deviation of each effect. The effects were ranked from the most likely (highest score) to the least likely (lowest score). Different lowercase letters above the error bars indicate statistically significant differences (*p < 0.05; Least Statistical Difference (LSD) post hoc test). b The average score of each perceived effect ± standard deviation from healthcare academics was compared to non-healthcare academics. Asterisks (*) indicate statistically significant differences (p < 0.05, independent t-test)
Fig. 3The factors predisposing to the prevalence of academic misconduct among academics. a The perceived significance of various predisposing factors leading to academic misconduct among academics, as rated by respondents (n = 141). This was scored from 1 to 3 where, 1 = Low significance; 2 = Moderate significance; 3 = High significance. The factors were ranked from the most likely factor (highest score) to the least likely factor (lowest score). Different lowercase letters above the error bars indicate statistically significant differences (*p < 0.05; Least Statistical Difference (LSD) post hoc test). b The average score of each predisposing factor ± standard deviation from healthcare academics was compared to non-healthcare academics. Asterisks (*) indicate statistically significant differences (p < 0.05, independent t-test)
Thematic analysis of other factors predisposing to the dishonest acts among academics based on respondents’ feedback
| Theme | Comments |
|---|---|
| Lack of awareness/ understanding of what constitutes academic dishonesty | “ |
| Empathise with low grade students | “ |
| Dishonest/corruption at higher level | “ |
| Stressful working condition | |
| Lack of recognition and appreciation of staff contribution | “ |
Abbreviations: HC, healthcare academic, NH non-healthcare academic
Thematic analysis of measures perceived to be effective for tackling academic dishonesty based on respondents’ feedback
| Theme | Comments |
|---|---|
| Proper implementation/enforcement of rules and policy | |
| Proper channels/procedures to report/investigate | “ |
| Peer review | “ |
| Higher authority/management should lead by example | “ |
| Rotation of leadership positions to prevent complacency | “ |
Abbreviations: HC, healthcare academic, NH non-healthcare academics