International students’ knowledge and emotions related to academic integrity at Canadian postsecondary institutions
Bibliographic record
Abstract
Abstract This study investigated the knowledge of academic integrity and associated emotions of a small sample of international students studying at Canadian postsecondary institutions (n = 60) using survey methodology. Depending on the survey item, 25–60 participants provided responses. Many respondents appeared knowledgeable about academic integrity and misconduct and reported that expectations in their home countries and in Canada were similar. There was, however, disagreement on the concept of duplicate submission/self-plagiarism, indicating an important gap in educating students about specific aspects of policy in postsecondary education in Canada. In addition, more than a third of respondents provided neutral responses to a situation involving contract cheating, suggesting a lack of certainty in how to respond when witnessing peers’ engagement in outsourcing academic work. Many respondents reported feeling confident upon reading the academic integrity and misconduct policies of their Canadian postsecondary institution, although nearly one third indicated feeling fearful, anxious, and/or confused. These negative feelings were associated with reduced knowledge of academic integrity and misconduct. Future research should further explore the experiences and emotions of international students related to academic integrity and misconduct to better understand the successes and challenges that they face in their postsecondary studies in Canada. Our findings have important implications for the delivery of academic integrity education, enhancing supports and resources, and refining academic integrity policies and procedures to improve the experience of students who come from abroad to study in Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".