The educational theory basis of team-based learning
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- Metaresearch, Insufficient payload (model declined to judge)
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Not applicableConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: none
- Teacher disagreement score
- 0.972
- Threshold uncertainty score
- 0.999
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.319 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
BACKGROUND: Health care providers require the ability to use critical thinking skills and work effectively in a team as a part of an overall set of competencies. Therefore, educational programs should use appropriate methods based in educational theory to effectively graduate learners with these abilities. Team-based learning (TBL) is a method that has been introduced in healthcare education to foster critical thinking skills while students work in high functioning teams. AIMS: This article will show how TBL follows the principles of constructivist learning theory. METHOD: The principles of constructivist learning theory are discussed in relation to the teaching method of team-based learning. The effectiveness of TBL in healthcare education is then reviewed. RESULTS: TBL is learner centered with the teacher acting as an expert facilitator and also provides students with opportunities to expose inconsistencies between their current understandings and new experiences thus stimulating development of new personal mental frameworks built upon previous knowledge. The learning is active using relevant problems and group interaction. Teamwork skills are strengthened by focused reflection on new experiences during the group sessions and on teamwork success by providing feedback to group members. CONCLUSION: Since these aspects are all essential components of constructivist educational theory, TBL is solidly grounded in the theory and is a promising method to strengthen healthcare education.
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.
The record
- Venue
- Medical Teacher
- Topic
- Problem and Project Based Learning
- Field
- Social Sciences
- Canadian institutions
- University of TorontoUniversity of Waterloo
- Funders
- National Board of Medical ExaminersMcMaster University
- Keywords
- Team-based learningSet (abstract data type)PsychologyHealth careMedical educationCritical thinkingWork (physics)TeamworkKnowledge managementPedagogyMedicineComputer scienceEngineering
- Has abstract in OpenAlex
- yes