DEVELOPING A SELF-PACED COURSE MODULE IN INFORMATION-FINDING AND LITERACY SKILLS FOR COURSEBASED MASTERS' STUDENTS
Bibliographic record
Abstract
Academic librarians in Canada often teach information research skills and information literacy tostudents, including engineering students, via class presentations. These skills include knowledge of the diverse technical information sources available, the use of specialised databases and free search tools, and assessing and properly citing information; they are important in graduate studies and in engineering practise. Course-based masters’ students are a growing demographic in engineering, however their particular needs have not as often been targeted by librarians. In this project, we developed a graded asynchronous course module in these skills, for a new course in professional skills for M.Eng. students. It uses text, images, videos, short assignments and quizzes to follow thegeneral research and writing process for a technical report, marking a significant increase in the contact time for these skills. To date the unit has been taught twice, to over 200 students, with overall feedback being positive. We plan to continue its development and make it openlyavailable.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.006 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".