Factors promoting sustainability of education innovations: A comparison of faculty perceptions and existing frameworks
Bibliographic record
Abstract
INTRODUCTION: Health professions education uses innovative projects to promote faculty development and institution change. Faculty perceptions of the factors that promote project sustainability affect how faculty conceptualize and implement their innovations, which influences whether and how they plan for sustainability. This paper compares educators' perceptions of factors that influence sustainability in innovative projects with factors identified in project sustainability literature, to identify areas of convergence and divergence. METHODS: Using questionnaires, faculty development fellowship participants from Brazil and India shared their perceptions on factors influencing their project's sustainability. An analysis framework was developed from existing project sustainability literature; faculty responses were then coded through an iterative process. RESULTS: Key sustainability themes identified by faculty included project-level factors related to project design, stakeholder support, monitoring and evaluation, and project outcomes. Identified context level factors were related to institutional and governmental support as well as self-motivation and peer support. Availability of resources and funding were identified as relevant at both the project and context levels. Project-level factors were more often cited than context-level factors as key to ensuring sustainability. CONCLUSIONS: Faculty development efforts in health professions education should employ strategies to target these themes in promoting innovation sustainability. These include preengagement with institutional leaders, alignment with public sector goals, strategic diffusion of information, project expansion and transferability, capacity building in monitoring and evaluation, and creation of a community of educators for information exchange and support.
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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 | 0.025 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".