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Record W4327709887 · doi:10.1080/0142159x.2023.2189540

Concurrent <i>versus</i> terminal feedback: The effect of feedback delivery on lumbar puncture skills in simulation training

2023· article· en· W4327709887 on OpenAlexaff
Anna Liu, Melissa Duffy, Sandy Tse, Marc Zucker, Hugh J. McMillan, Patrick Weldon, Julie Quet, Michelle T. Long

Bibliographic record

VenueMedical Teacher · 2023
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of OttawaWestern University
Fundersnot available
KeywordsChecklistCognitive loadAnxietyCognitionLumbar puncturePerceptionTerminal (telecommunication)Peer feedbackCorrective feedbackPsychologyMedicineMedical educationClinical psychologyCognitive psychologyComputer sciencePsychiatryMathematics educationInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Simulation-based medical education (SBME) is widely used to teach bedside procedural skills. Feedback is crucial to SBME but research on optimal timing to support novice learners' skill development has produced conflicting results. METHODS: We randomly assigned 32 novice medical students to receive feedback either during (concurrent) or after (terminal) trialing lumbar puncture (LP). Participants completed pre- and post-acquisition tests, as well as retention and transfer tests, graded on a LP checklist by two blinded expert raters. Cognitive load and anxiety were also assessed, as well as learners' perceptions of feedback. RESULTS: = 1.90), collapsed across post, retention, and transfer tests. There was no difference in cognitive load and anxiety between groups. In open-ended responses, participants who received concurrent feedback more often expressed satisfaction with their learning experience compared to those who received terminal feedback. DISCUSSION AND CONCLUSIONS: Concurrent may be superior to terminal feedback when teaching novice learners complex procedures and has the potential to improve learning if incorporated into SBME and clinical teaching. Further research is needed to elucidate underlying cognitive processes to explain this finding.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.384
Teacher spread0.339 · 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

Citations13
Published2023
Admission routes1
Has abstractyes

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