Learning outcomes assessment at American Library Association accredited master's programs in library and information studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There is an increasing emphasis on learning outcomes assessment in the accreditation process in higher education in general and in library education specifically. This mixed methods study investigated the practice of outcomes assessment at master?s programs in library and information studies accredited by the American Library Association in the United States and Canada. Six salient themes emerged from the survey responses of Accreditation Liaison officers and the content analysis of 12 program presentations of MLIS programs. First, outcomes assessment has taken hold at MLIS programs in which 93% of programs have adopting a common set of learning goals and outcomes, whereas 79% developed a written assessment plan. Second, accreditation is the primary driver for MLIS assessment efforts, while program directors, faculty, and assessment and curriculum committees provide leadership in its practice. Third, MLIS programs employed a diverse range of tools for measuring learning outcomes. Course assignment, course evaluation, rubric, internship rating, portfolios, and surveys are the most commonly used direct and indirect measures. Fourth, MLIS programs applied assessment results extensively for improving program, curriculum, course, and instruction
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.061 |
| 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 it