Kolb’s learning cycle as a framework for early fieldwork learning
Bibliographic record
Abstract
Fieldwork is an integral part of occupational therapy (OT) education that provides opportunity for students to develop and demonstrate essential competencies to practice. This paper describes an introductory fieldwork experience in a Masters level OT programme that utilized Kolb’s learning cycle as a framework for its design. The 2-week experience incorporates peer-assisted learning and combines clinical placement, labs, didactic presentations, simulation exercises and reflection sessions to facilitate student progression through the learning cycle. Formal feedback from students, preceptors and university faculty over 2 years reveals that this novel and purposeful approach was effective in introducing students to important principles of OT practice and fieldwork learning early in their OT education. Students gained an enhanced understanding of client-centred care and the role of the OT within different practice contexts and acquired a solid foundation for enriched learning in academic and fieldwork courses that follow.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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; both teacher heads agree on what is shown here.
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".