9. Clinical and Practicum Education in the Professions: The Student Voice
Bibliographic record
Abstract
Undergraduate students in professional education programs typically rate their clinical or practicum experiences as teh most important component of their entire pre-service preparation. This essay addresses the value of students’ views regarding the effectiveness of practicum programs. We summarize the views of 546 post-practicum students from three professional disciplines (engineering, nursing, and teacher education), concerning what they considered to be the most positive and negative aspectsof their respective practicum/clinical field-experiences.Our data analysis revealed three positive themes across the disciplines: the supportive interrelationships that students experienced; their own professional achievements; and their personal contribution to the welfare of their clients/pupils. Three negative elements also emerged: individual personal/professional challenges; site-based interpersonal conflicts; and policy or procedural problems with the program. Implications are raised for practicum administrators regarding the contribution of the student voice to clinical program enhancement.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".