Developing a Postbasic Gerontology Program for International Learners: Considerations for the Process
Bibliographic record
Abstract
BACKGROUND: A private university in Chile was seeking opportunities to acquire expertise in developing distance education programs using new media technology, especially in health-related fields. An initiative was undertaken to develop a distance postbasic gerontology program for technical nurses in Chile by partnering with a Canadian school of nursing. METHOD: The instructional design process was used as a systematic approach throughout the development of the program. Attention to cultural considerations was emphasized throughout each phase of the process. RESULTS: The developed program consists of 13 self-paced print modules with web-based components and is primarily asynchronous with scheduled milestones. A 6-week preceptored clinical experience follows completion of the theory portion to support learner mastery of program outcomes. CONCLUSION: Developing international nursing education programs is an enriching experience that presents unique challenges and issues. These challenges can be overcome by using a creative, systematic approach to program development that reflects cultural considerations. Developing flexible working relationships that respect the cultural differences of international team members facilitates international initiatives.
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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 | 0.015 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".