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Record W4375810156 · doi:10.46743/1540-580x/2022.2123

A Feasibility Study for Utilizing a Peer-teaching Experiential Learning Activity to Alter Student Perceptions of Attributes Present in Effective Clinical Instructors

2022· article· en· W4375810156 on OpenAlexaboutno aff
Susan Barlow, Penelope Elam, Stephen Elam, Lee Ann Eagler

Bibliographic record

VenueInternet Journal of Allied Health Sciences and Practice · 2022
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsMedical educationExperiential learningPerceptionTUTORPsychologyCurriculumPhysical activityRanking (information retrieval)MedicineMathematics educationPedagogyPhysical therapyComputer science

Abstract

fetched live from OpenAlex

Purpose: Many physical therapists are requested to assume the role of a clinical instructor (CI) after only one year of clinical practice. The purposes of this study are to assess the feasibility of an activity that introduces students to the responsibilities of a CI and to determine if this activity had any impact on student perceptions of attributes that are present in an effective CI. Methods: Second year DPT students enrolled in a course that utilizes case-based learning and peer-teaching activities participated in this study. Participants completed the McGill University Clinical Tutor Evaluation survey both pre- and post-learning activity. Survey results were analyzed for mean composite scores, changes in survey items ranking, and statistically significant differences in survey item responses both pre- and post- activity. Results: Mean composite scores for the McGill survey as well as mean ranks for each of the 25 survey items were identified both pre and post activity. Statistically significant differences were found by comparing student responses from surveys taken pre- and post-activity. Conclusion: The results of this study suggest that a peer-teaching experiential learning activity was feasible for influencing student perceptions of important attributes of an effective CI. These findings indicate that incorporation of similar activities into DPT entry-level curricula may aid in educating students about the responsibilities of a CI.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.041
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0410.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.192
GPT teacher head0.594
Teacher spread0.402 · 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 teacher head, not a consensus.

Study designObservational
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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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