“They bring the topic [of social justice] but stop there”: Nursing students' perceptions of teaching practices that develop awareness and engagement with social justice
Bibliographic record
Abstract
BACKGROUND: Pedagogical frameworks grounded in social justice, such as decolonizing and anti-racist educational practices, are essential in nursing programs. While scholars have begun to examine nurse educators' conceptualizations of social justice, there remains a lack of knowledge about student perspectives regarding nurse educators' approaches to incorporating social justice in education. OBJECTIVE: To understand nursing students' perceptions about educational strategies that develop critical awareness and engagement with social justice and positively influence professional practice. DESIGN: A qualitative study informed by Critical Feminist Pedagogy and guided by Interpretive Description methodology. SETTINGS: A school of nursing in Western Canada. PARTICIPANTS: Ten undergraduate and graduate nursing students recruited through convenience sampling. METHODS: Students participated in one-on-one semi-structured interviews. A set of questions developed to facilitate data analysis allowed the deconstruction of the data to identify broad-based inductive categories. Contrast and comparison methods were also used. Members of the research team provided analytic insights into the categories, and subsequently, all members discussed the findings and developed the interpretive frame. RESULTS: Student participants reported that educational strategies promoting awareness and engagement with social justice need to go beyond superficial engagement and awareness of social justice. Researchers' analysis suggests that cohesiveness between awareness and action in social justice is urgently needed within academia to adopt a decolonizing and anti-racist pedagogy in nursing and better prepare students for professional practice. From the data analysis, teaching strategies that enhance cohesiveness include: embracing personal development, creating community spaces and disrupting knowledge and curriculum hierarchies. CONCLUSIONS: Understanding students' perceptions and incorporating their suggestions is critical to integrating socially just teaching practices that embrace a learner-centred pedagogy. Our findings offer suggestions for teaching strategies that foster critical awareness and engagement with social justice. Combined, these contribute to our understanding of signature pedagogies in nursing with the intention of increasing the adoption of anti-racist and decolonizing approaches.
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.
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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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, 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".