Applications of social constructivist learning theories in knowledge translation for healthcare professionals: a scoping review
Bibliographic record
Abstract
BACKGROUND: Use of theory is essential for advancing the science of knowledge translation (KT) and for increasing the likelihood that KT interventions will be successful in reducing existing research-practice gaps in health care. As a sociological theory of knowledge, social constructivist theory may be useful for informing the design and evaluation of KT interventions. As such, this scoping review explored the extent to which social constructivist theory has been applied in the KT literature for healthcare professionals. METHODS: Searches were conducted in six databases: Ovid MEDLINE (1948 - May 16, 2011), Ovid EMBASE, CINAHL, ERIC, PsycInfo, and AMED. Inclusion criteria were: publications from all health professions, research methodologies, as well as conceptual and theoretical papers related to KT. To be included in the review, key words such as constructivism, social constructivism, or social constructivist theories had to be included within the title or abstract. Papers that discussed the use of social constructivist theories in the context of undergraduate learning in academic settings were excluded from the review. An analytical framework of quantitative (numerical) and thematic analysis was used to examine and combine study findings. RESULTS: Of the 514 articles screened, 35 papers published between 1992 and 2011 were deemed eligible and included in the review. This review indicated that use of social constructivist theory in the KT literature was limited and haphazard. The lack of justification for the use of theory continues to represent a shortcoming of the papers reviewed. Potential applications and relevance of social constructivist theory in KT in general and in the specific studies were not made explicit in most papers. For the acquisition, expression and application of knowledge in practice, there was emphasis on how the social constructivist theory supports clinicians in expressing this knowledge in their professional interactions. CONCLUSIONS: This scoping review was the first to examine use of social constructivism in KT studies. While the links between social constructivism and KT have not been fully explored, the Knowledge to Action framework has strong constructivist underpinnings that can be used in moving forward within the broader KT enterprise.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Other design | low |
| grok | Meta-epidemiology (broad) Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | low |
| opus | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | medium |
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 | 0.107 | 0.240 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.057 | 0.052 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.016 | 0.017 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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, unvalidatedLabeled directly by 3 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".