University Student and Faculty Opinions on Academic Integrity Are Informed by Social Practices or Personal Values
Bibliographic record
Abstract
A Review of: Randall, Ken, Denise G. Bender and Diane M. Montgomery. “Determining the Opinions of Health Sciences Students and Faculty Regarding Academic Integrity.” International Journal for Educational Integrity 3.2 (2007): 27-40. Objective – To understand the opinions of students and faculty in physical therapy (PT) and occupational therapy (OT) regarding issues of academic integrity such as plagiarism and cheating. Design – Q method (a mixed method of qualitative data collection with application of quantitative methods to facilitate grouping and interpretation). Setting – An urban university-affiliated health sciences facility in the mid-western United States. Subjects – Thirty-three students and five faculty members of ages 21 to 61 years, 30 associated with the physical therapy program and 8 with occupational therapy, including 6 males and 32 females. Methods –Initially, 300 opinion statements for, against, or neutral on the subject of academic integrity were gathered from journal articles, editorials and commentaries, Internet sites, and personal web logs, 36 of which were selected to represent a full spectrum of perspectives on the topic. Participants in the study performed a “Q-sort” in which they ranked the 36 statements as more-like or less-like their own values. A correlation matrix was developed based on the participants' rankings to create “factors” or groups of individuals with similar views. Two such groups were found and interpreted qualitatively to meaningfully describe the differing views of each group. Three participants could not be sorted into either group, being split between the factors. Main Results – Analysis of the two groups, using software specific to the Q method, revealed a good deal of consensus, particularly in being “most unlike” those statements in support of academic dishonesty. The two groups differed primarily in the motivation for academic honesty. Factor one, with 21 individuals, was labeled “Collective Integrity,” (CI) being represented by socially oriented statements such as “I believe in being honest, true, virtuous, and in doing good to all people,” or “My goal is to help create a world where all people are treated with fairness, decency, and respect.” Factor two, with 14 individuals, was described as “Personal Integrity,” (PI), and focused on an internal sense of values and self-modulation, identifying with statements like “Honour means having the courage to make difficult choices and accepting responsibility for actions and their consequences, even at personal cost.” There were also some demographic patterns in the results. Twenty of the 31 students, 20 of the 29 females, and 17 of the 25 participants aged 30 and under were in the CI group, while 3 of the 4 faculty were in PI. Males, occupational therapists, physical therapists, and those over the age of 30 did not belong clearly to one or the other group, having close to equal numbers in both. Conclusion – Given the two factors, CI and PI, this sample of OT and PT students and faculty can be seen to make academic decisions based on either what they believe society deems correct or what their own internal values tell them. The discovery that more females, students, and those 30 and under were associated with CI resonates with the some key claims in the literature, such as that younger individuals tend to have a more social outlook on academic integrity, or that women's ethic of care is often focused on connections among people. Most importantly, students and faculty appear to share a notable degree of common ground as it relates to their opinions on academic integrity. Additional exploration and the continued use and development of policies promoting academic integrity is called for.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.150 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".