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Record W2031316341 · doi:10.1080/00034980120103432

Experiential learning in an anaesthesia simulation centre: analysis of students' comments

2002· article· en· W2031316341 on OpenAlexafffund
Doreen Cleave‐Hogg, Pamela J. Morgan

Bibliographic record

VenueMedical Teacher · 2002
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreWomen's College HospitalUniversity of Toronto
FundersUniversity Health Network
KeywordsExperiential learningSession (web analytics)Medical educationKnowledge retentionLearning environmentPsychologyMedicineMultimediaComputer scienceMathematics education

Abstract

fetched live from OpenAlex

The anesthesia computer-controlled patient simulator offers a valuable experiential learning experience for undergraduate medical students. The purpose of this study was to gather students' opinions of the simulator learning experiences and to study and analyze their comments regarding the nature of the learning. All fourth-year medical students were invited to participate in a simulator session during their anesthesia rotation. A satisfaction survey was administered and the qualitative data were analyzed. A total of 145 students completed the questionnaire (100% return rate). Most students (88%) reported the session to be a positive learning experience that provided opportunities for applying their knowledge in a realistic environment. Some students indicated a lack of comfort in the environment but this did not appear to inhibit performance. Student comments highlighted the value of the learning experience and provided insights into the nature of the learning. The computer-controlled patient simulator offers new and challenging opportunities for medical students to apply their knowledge and practice working through an Anesthesia case without endangering patient safety.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.000

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 head0.033
GPT teacher head0.390
Teacher spread0.357 · 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

Citations67
Published2002
Admission routes2
Has abstractyes

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