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Record W2129361382 · doi:10.1109/iccgi.2009.52

A Collaborative, Online, Problem-Based Simulation Platform (COMPSoft) for Medical Education

2009· article· en· W2129361382 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsUniversité TÉLUQUniversité du Québec à MontréalSimon Fraser University
FundersChina Scholarship Council
KeywordsComputer scienceWork (physics)Test (biology)Problem-based learningSoftwareMultimediaMedical educationMathematics educationSoftware engineeringEngineeringPsychologyMedicine

Abstract

fetched live from OpenAlex

In this project, we transferred Problem-Based Learning (PBL), a well-known pedagogy for medical education, to an online environment by transforming it into a simulation where students could practice their skills collaboratively in a risk-free setting. This paper describes the design of a conceptual model and development of a software platform to allow learners to collaborate online in discussing PBL cases. Early testing has been extremely promising, largely due to the extensive work done earlier to build the ENJEUX-S online game platform. Thanks to this work, it has been possible to extend this platform from online games to online simulations. Our first test of the PBL model with undergraduate students was successful in facilitating their critical thinking and was well-received. We are now planning to use COMPSoft in medical schools and to conduct comprehensive evaluation studies of both the model and the platform.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.858
Threshold uncertainty score0.748

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)0.0000.000

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 head0.023
GPT teacher head0.387
Teacher spread0.364 · 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

Quick stats

Citations4
Published2009
Admission routes1
Has abstractyes

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