Perspectives on Implementing Micro-credentials in the Commonwealth Caribbean: A Survey of Stakeholders
Bibliographic record
Abstract
Micro-credentials (MCs) have emerged as a transformative tool in education and workforce development, offering flexible, targeted learning opportunities that align with the principles of lifelong learning. This paper presents the findings of a survey conducted among stakeholders in the Commonwealth Caribbean in a baseline study to gauge their awareness, experiences, and attitudes toward MCs. The study reveals that while a majority of respondents are familiar with MCs, significant barriers such as lack of awareness, resistance to change, and limited access to technology hinder their widespread adoption. The paper highlights the potential of MCs to address regional flexible learning and skills gaps, support workforce development, and promote social inclusion, while also emphasizing the need for clear policies, quality assurance frameworks, and stakeholder collaboration. By applying the Lifelong Learning Paradigm, the paper provides a comprehensive framework for understanding the role of MCs in supporting continuous learning, skill development and adaptability. The findings underscore the importance of aligning MCs with industry needs, leveraging technology, and fostering a supportive ecosystem to ensure their successful implementation in the Caribbean. The paper concludes with actionable recommendations for policymakers, educators, and employers to integrate MCs into the region’s lifelong learning landscape.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".