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Board #117 - Research Abstract Peer Teaching

2014· article· en· W2316996404 on OpenAlexaffabout
Audrey Dadoun, Farhan Bhanji, S.A. Dubrovsky

Bibliographic record

VenueSimulation in Healthcare The Journal of the Society for Simulation in Healthcare · 2014
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsMcGill University
Fundersnot available
KeywordsTrainerTask (project management)Medical educationTeaching methodPsychologyPeer groupMedicineMathematics educationComputer scienceEngineering

Abstract

fetched live from OpenAlex

Hypothesis A resident’s first lumbar puncture (LP) often occurs in a high-stakes environment where patient management depends on its success. Unfortunately, most junior residents do not achieve the competency level required for this important skill. Simulation with deliberate practice may be an important instructional method to facilitate skill development in trainees, but is often restricted due to human resource limitations. If students could learn equally well from peer teaching (as compared to instructor led teaching) this could enable medical schools an opportunity to increase the pool of instructors and the amount of teaching it can provide. The main objectives of this pilot study were: 1) To determine if students taught LP skills by their peers perform as well on a simulated LP task trainer as students taught by experts; and 2) To determine if teaching peers results in improved performance of the student doing the teaching. Methods We conducted a block randomized trial comparing three groups of third year medical students’ LP skill acquisition at the Montreal Children’s Hospital. Students (n=60) were given two 30 minute sessions with the LP task trainer . Group 1 (control group, n=20) was initially taught via deliberate practice by an expert and then had 30 minutes of self-guided practice. Group 2 (student teachers, n=20) were similarly taught by an expert and then had 30 minutes to teach a peer. Group 3 (peer taught, n=20) was taught by group 2 and then given an additional 30 minutes of self-guided practice. All students had an equal amount of time with the task trainer. Assessments of students were conducted 4-6 weeks after training with a previously validated 15-point checklist by an assessor blinded to group allocation. The main outcome measure was the mean score on the 15-point checklist compared using independent sample t-tests. Results The mean score of students taught by an expert (i.e. group 1) was 11.9 (SD 2.2) and those taught by their peers (i.e. group 3) was 11.7 (SD 2.0); the difference between groups was not statistically significant (p=0.83). Moreover, the mean score of students who taught their peers (i.e. group 2) was 12.9 (SD 1.9); there was no statistically significant difference when compared to group 1 (p=0.13). Conclusion The students taught by their peers achieved the same degree of competency as students taught by experts. This could potentially provide medical schools with valuable new resources for teaching. We did not observe a benefit to the learner from, ‘teaching the skill’ to their peers as compared to practicing on their own, though the study may have been underpowered to detect a small difference. Disclosures None

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)0.022
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.113
GPT teacher head0.501
Teacher spread0.387 · 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 designSimulation or modeling
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
Published2014
Admission routes2
Has abstractyes

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