Navigating creativity within arts-based pedagogy: Implications of a constructivist grounded theory study
Bibliographic record
Abstract
BACKGROUND: Educators implement arts-based pedagogy with the hope that it will foster meaningful learning for students. However, nursing students have varied reactions to artistic assignments, and there is a need to further understand students' learning processes with this novel approach and the factors influencing their learning. This understanding could promote the more effective implementation of arts-based pedagogy into nursing education. OBJECTIVE: To develop a theoretical understanding of how and when undergraduate nursing students learn through arts-based pedagogy. DESIGN: Constructivist grounded theory. SETTINGS: Canadian baccalaureate nursing program. PARTICIPANTS: Thirty third-year undergraduate nursing students and eight of their nursing instructors. METHODS: Participants who had experienced arts-based assignments were recruited with purposive and then theoretical sampling. We collected four sources of data: a socio-demographic questionnaire, semi-structured interviews, photo/art elicitation, and field notes. The socio-demographic data were analyzed with descriptive statistics and all other data with constructivist grounded theory procedures. RESULTS: Our findings revealed that students had to navigate a creative process with arts-based assignments, which involved several iterative phases. This type of learning was unique within their program and somewhat constrained by the context of nursing education. There was notable variation in the students' experiences. Although many reported meaningful learning, approximately 20% of the students did not value the assignment. Our findings elucidated multi-level enabling and restraining factors that influenced students' engagement with and learning from this creative process. CONCLUSIONS: These findings provide insight into modifiable factors that influenced students' engagement and learning, and have important implications for making ABP accessible and meaningful for more students.
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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 | 0.135 | 0.077 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.012 | 0.042 |
| Scholarly communication | 0.018 | 0.012 |
| Open science | 0.006 | 0.012 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".