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Record W4411438054 · doi:10.1016/j.cptl.2025.102413

Fostering career-readiness in pharmacy students through work-integrated learning: Qualitative analysis of co-op supervisor and rotation preceptor feedback on student performance

2025· article· en· W4411438054 on OpenAlexaff
Ali Syed, Jennifer Pereira, Mohanad Al‐Sabbagh, Sherilyn K. D. Houle, Nancy M. Waite

Bibliographic record

VenueCurrents in Pharmacy Teaching and Learning · 2025
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPreceptorMedical educationPharmacyCurriculumPsychologySupervisorPharmacy practiceTeamworkFocus groupPedagogyMedicineNursing

Abstract

fetched live from OpenAlex

INTRODUCTION: Work-integrated learning (WIL) is a key component of many professional programs, allowing students to apply classroom knowledge in workplace and practice settings. While most pharmacy schools include clinical rotations in their curriculum, few integrate co-operative education ("co-op"), resulting in a dearth of literature regarding how each WIL model prepares students for pharmacy careers. We analyzed student performance evaluations to identify co-op supervisors' and rotation preceptors' perceptions of students' job/practice readiness skills, distinguishing the unique and complementary skills developed by each experience. METHODS: In the University of Waterloo Doctor of Pharmacy (PharmD) program, students complete three co-op work terms in their second and third years and three clinical rotations in their fourth year. Supervisor and preceptor qualitative feedback on student performance for students in three graduating classes was qualitatively analyzed; two researchers independently coded data, using content analysis to identify themes. RESULTS: Both WIL models support students' growth in confidence, ability to engage in tailored communication with patients, and improved collaboration with other healthcare providers. A hierarchy of learning was observed with co-op helping students gain experience as a contributing member of an interprofessional team and learning how to adapt to workflow changes. This provided a foundation for final-year rotations allowing students to focus and gain self-assurance providing patient care services. DISCUSSION: Supervisors and preceptors perceive that co-op and rotations provide students with multiple important skills for job/practice readiness. Co-op's fostering of job readiness skills prepares students for more advanced, focused, and nuanced practice skill development in the program's final year.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.085
GPT teacher head0.495
Teacher spread0.410 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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