Is There a Relationship Between Individual Learning, Team Learning, and Organizational Learning?
Bibliographic record
Abstract
Scholars suggest that there is a need for more research, particularly quantitative designs, that aim to examine the relationship between individual learning, team learning, and organizational learning. The purpose of this study is to investigate whether there is a relationship between perceived individual learning, team learning, and organizational learning. With a survey we collected data from 106 laboratory supervisors in Ontario hospitals to answer four research questions: 1) Is there a relationship between perceived individual learning and team learning?; 2) Is there a relationship between perceived individual learning and organizational learning?; 3) Is there a relationship between perceived team learning and organizational learning?; 4) Is there a relationship between perceived individual learning, or team learning, and a component of organizational learning? We found positive answers to the first three questions, but the answer to the last question was a little more complicated. Les chercheurs proposent qu’il faille pousser la recherche, notamment les études utilisant des modèles quantitatifs, qui portent sur le rapport entre l’apprentissage individuel, l’apprentissage en équipe et l’apprentissage organisationnel. L’objectif de cette étude est de déterminer s’il existe un rapport entre l’apprentissage individuel, l’apprentissage en équipe et l’apprentissage organisationnel tel que perçu par les participants. Par le biais d’un sondage, nous avons récolté des données de la part de 106 superviseurs de laboratoire dans des hôpitaux en Ontario qui ont répondu à quatre questions : 1) Existe-t-il un rapport entre l’apprentissage individuel et l’apprentissage en équipe tel que perçu par les participants? 2) Existe-t-il un rapport entre l’apprentissage individuel et l’apprentissage organisationnel tel que perçu par les participants? 3) Existe-t-il un rapport entre l’apprentissage en équipe et l’apprentissage organisationnel tel que perçu par les participants? 4) Existe-t-il un rapport entre l’apprentissage individuel, ou l’apprentissage en équipe et une composante de l’apprentissage organisationnel? Nous avons trouvé des réponses affirmatives aux trois premières questions, mais la réponse à la dernière est un peu plus compliquée.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".