Post-Secondary Education Development in South East Asia: A Model for Curriculum Development in Continuing Education
Bibliographic record
Abstract
This article presents a model for continuing education that emanated from the author’s involvement in the Participatory Action Research (PAR) component of Simon Fraser University’s Adult Education for Economic Development (AEED) Project, funded by the Canadian International Development Agency (CIDA). The project’s goal was to develop new centers for continuing education at the Royal University of Phnom Penh (RUPP) in Cambodia and the National University of Laos (NUOL) in Lao People’s Democratic Republic, with assistance and mentorship from the Centre for Continuing Education at Chulalongkorn University (Chula) in Thailand. This article includes a discussion and illustration of continuing education based on four dimensions: lifelong learning, outreach, applied and integrated studies, and informal learning environments. The PAR is discussed in terms of how the partnerships emerged in the project, together with a systemic, ecological analysis of continuing education.
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How this classification was reachedexpand
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 | 0.002 | 0.005 |
| 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".