The Launch of a Joint Library/Writing Centre Online Course on Academic Integrity
Bibliographic record
Abstract
Objective – To outline the collaborative development of an online course addressing academic integrity by a university’s library system and writing centre.
 
 Design – Case study.
 
 Setting – A public research university in the Midwestern United States.
 
 Subjects – 1650 students who completed the online module.
 
 Methods – Oakland University (OU) Libraries and the Writing Centre began to collaborate on the development of a new online course on academic integrity in 2011. It was felt that an existing online library tutorial on plagiarism no longer met the needs of students and faculty. The development of the course was informed by the Association of College and Research Libraries’ Information Literacy Competency Standards for Higher Education (2000) as well as a research study investigating students’ use of sources in their scholarly writing across several institutions. Moodle, the institution’s learning management system (LMS), was used to develop the learning object.
 
 Main Results – OU Libraries and the Writing Centre launched the six-part online course entitled “Using and Citing Sources” in January 2012. They developed modules around learning outcomes in five broad categories: defining academic integrity and plagiarism; the use of sources in academic writing; paraphrasing; quoting; and citation. The final module provided students with an opportunity to practise lessons learned in the first five modules. The use of the LMS to design and host the course limited the tutorial to registered students, but provided developers with access to additional course functionality without labour-intensive coding. It also allowed Writing Centre staff to access students’ performance data on the modules prior to their appointments. Improvements over the previous online tutorial included expanded content on academic ethics and referencing, more active learning elements, video content, and the opportunity for students to choose discipline-specific examples. In the first four months of its availability, 1650 students completed the course, with 3330 attempts overall.
 
 Conclusion – The diverse perspectives and expertise that individuals from OU Libraries and the Writing Center brought to their collaboration greatly informed the development of the course. The time and effort saved by using the university’s existing LMS to develop interactive content and the focus on providing students with opportunities for active learning within the course contributed to the project’s success.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | high |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | medium |
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 | 0.002 | 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 | 0.159 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".