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Record W2039102154 · doi:10.3899/jrheum.080761

Evaluation of a Web-based Teaching Module on Examination of the Hand

2009· article· en· W2039102154 on OpenAlexaffvenueabout
Henry Averns, Mark Maraschiello, Elaine Van Melle, Andrew Day

Bibliographic record

VenueThe Journal of Rheumatology · 2009
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsKingston Health Sciences CentreQueen's University
Fundersnot available
KeywordsTUTORObjective structured clinical examinationMedicineMedical educationFinal examinationTest (biology)Physical examinationSignificant differenceProblem-based learningWeb applicationMathematics educationSurgeryInternal medicineComputer sciencePsychologyWorld Wide Web

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the effectiveness of an online module in the development of medical students' clinical hand examination skills. METHODS: We developed a Web-based module to teach examination of the hand to first-year medical students (n = 99) to address the core skills expected in undergraduate medical training in Canada. The module was compared to the standard recommended text and tutor-led teaching using a validated objective structured clinical examination (OSCE) and a written knowledge test. RESULTS: A total of 17 students completed the OSCE from the book-based learning group, 18 from the tutor-led group, and 26 from the online module group. The average total OSCE score was significantly higher for students in the online module group compared to the textbook group (73.2% and 60.5%, respectively; p = 0.003). There was no significant difference between students in the online module and tutor-led groups (73.2% and 69.0%, respectively; p = 0.31). The online module group had a significantly higher mean total knowledge score than the textbook group (8.4 and 5.7, respectively; p < 0.001; maximum score 10) and the tutor-led group (8.4 and 7.4, respectively; p = 0.04). CONCLUSION: Our study provides evidence that a well designed Web-based module, supported by sound educational theory, is an effective tool in the teaching of musculoskeletal examination skills, and provides some advantages over tutor-led teaching in terms of knowledge retention.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.875
Threshold uncertainty score0.145

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.301
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations26
Published2009
Admission routes3
Has abstractyes

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