Forming an academic program review learning community: description of a conceptual model
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
Purpose Higher education institutions are required to evaluate program quality through cyclical program review processes. Despite often being considered the “gold standard” of academic review, there persists dissatisfaction with the lack of integration of program review findings into other planning processes, such as budgeting, assessment and strategic planning. As a result, the notion of program review action plans “collecting dust on the shelf” is so ubiquitous that the concept is normalized as an expected outcome. The purpose of this paper is to describe a conceptual model whereby teams of faculty members receive education and training from quality assurance practitioners and educational developers, access to institutional resources, opportunities for cross-departmental collaborations and collective advocacy to increase the capacity of faculty members to implement improvement goals resulting from program reviews. Design/methodology/approach The authors theorize that a professional learning community is a meaningful approach to program review and present a conceptual model – the Academic Program Review Learning Community (PRLC) – as an antidote to hierarchical, fragmented, compliance-oriented processes. The authors suggest that the PRLC offers a reliable institutional framework for learning through formalized structures and nested support services, including peer learning and external coaching, which can enhance the catalytic capacity of reviews. Findings The authors argue that postsecondary institutions should create formal structures for incorporating learning communities because, without a reliable infrastructure for collective learning, decision-making may be fragmented oridiosyncratic because of shifting demands, priorities or disconnected faculty. Originality/value A learning community model for program review fits well with a new way to think about program review because faculty are most engaged when they feel ownership over the process. Furthermore, few models exist for conducting program review; as a result, chairs and academics often struggle to conduct reviews without a coherent framework to draw upon.
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 | 0.022 | 0.006 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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