Pedagogical Methods of Teaching Social Justice in Social Work: A Scoping Review
Bibliographic record
Abstract
Purpose: Social justice is a foundational social work value, but social work education continues to experience ongoing challenges with how to teach students to embody social justice values. The aim of this scoping review is to map empirical studies on teaching methods that translate social justice value into teachable curricula. Methods: Following Arksey and O’Malley’s scoping review framework, we conducted a rigorous process in which we screened 5953 studies and included a final sample of 35 studies. Results: Our findings identified seven main teaching approaches: intergroup dialogue, online asynchronized discussion board, simulation and role play, group work and presentation, written reflection, community-engaged learning, and social action-oriented learning. In terms of competency development, most of the studies focused on awareness and knowledge versus skill-building. Most teaching methods emphasized students’ affective experiences during the social justice learning activities. Discussion: Challenges, lessons learned, and future recommendations of each teaching method are presented.
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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 | 0.022 | 0.062 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.024 | 0.018 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".