MétaCan
Menu
Back to cohort
Record W2033003547 · doi:10.2190/ec.41.2.b

Critical Thinking in a Collaborative Online PBL Tutorial

2009· article· en· W2033003547 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

VenueJournal of Educational Computing Research · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCritical thinkingComputer scienceProcess (computing)The InternetOnline discussionCollaborative learningExploratory researchProblem-based learningMultimediaMathematics educationKnowledge managementWorld Wide WebPsychology

Abstract

fetched live from OpenAlex

The web has the potential to offer an environment that can support standardized medical education to students dispersed in time or place and, in the process, respond to reduced availability of patients for practice. This exploratory article describes how we evaluated critical thinking in an online collaborative Problem-based Learning (PBL) tutorial built on a platform integrating a well-known course management system and a voice-over the Internet communications tool. We discuss the process and results of evaluating the tutorials by adapting and applying an earlier framework used to measure the level of critical thinking taking place in collaborative online PBL tutorials. Our results indicate that this framework could be used as a method to compare levels of critical thinking between tutorial groups as well as tutorial variables such as case study formats and the types of technology used to support the sessions.

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)0.010
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.085
GPT teacher head0.529
Teacher spread0.444 · 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