Library Research Skills: A Needs Assessment for Graduate Student Workshops.
Bibliographic record
Abstract
Information literacy instruction programs for graduate students can be challenging to develop. One solution is to develop non-course-based, non-mandatory library instruction programs, in order to meet the information literacy needs of as many graduate students as possible. This was the approach taken by the Taylor Library at the University of Western Ontario, as we embarked on the development of a program for students in the areas of engineering, health sciences, medicine & dentistry, and science. As a first step, we conducted a needs assessment study via focus groups and an online survey. The study looked at graduate student perceptions of their library research needs, their preferences for learning about library research, and the appropriateness of a common instruction program for students in these disciplines. We found that graduate students wanted to learn about strategies for finding information, bibliographic management tools such as RefWorks, and tools for keeping current with scholarly literature. Students preferred online instruction, although in-person workshops were also found to be valuable. Students in all four faculties identified common information literacy needs, while expressing a desire for subject-specific instruction. [ABSTRACT FROM AUTHOR]
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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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".