Assessment Within the Augustana Model of Undergraduate Discipline-Specific Information Literacy Credit Courses
Bibliographic record
Abstract
SUMMARY Augustana (located in Camrose, Alberta, Canada, and formerly known as Augustana University College) is an undergraduate liberal arts and sciences faculty of the University of Alberta with an enrollment of approximately 1,100 students. The fall of 2001 marked the inception of for-credit discipline-specific information literacy (IL) course offerings at Augustana. At that time, Augustana librarians began teaching two IL courses that were required for graduation for students in the relevant degrees (Bachelors of Music, Arts in Music, and Arts in English). Since that time, for-credit discipline-specific IL courses have been added in nineteen disciplines, bringing Augustana's total number of IL courses to twenty-one. This paper will give an overview of the development and implementation of these IL courses and will focus on the assessment practices to date. Specifically, data gathered from pretests and post-tests will be analyzed and results from a separate follow-up survey conducted of current students and graduates will be reviewed. In addition, an in-house Web-based assessment tool will be introduced and discussed.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".