Teaching Microaggressions, Identity, and Social Justice: A Reflective, Experiential and Collaborative Pedagogical Approach
Notice bibliographique
Résumé
The purpose of social work is actualized through its commitment to diversity and differences in practice, as well as human rights, social, economic, and environmental justice. A review of literature on microaggressions and oppression against marginalized and vulnerable populations suggests important themes that social work instructors need to examine with students. It is unclear to what extent instructors use pedagogical tools to gain knowledge, skills, and critical consciousness to navigate social justice contents and manage difficult conversations with diverse student groups in class settings. Not much attention is paid in social work education on how well instructors are prepared to teach this content in depth and what challenges they face when facilitating highly sensitive and difficult discussions with students. This article described and evaluated five sets of reflective, experiential, and collaborative activities in a social justice course designed to help social work students examine the histories of various identity groups that have experienced discrimination and oppression and increase their self-awareness of both privilege and personal bias in one’s life. These activities include: (1) reflective reading notes; (2) critical reflection paper; (3) brief lecture and experiential class activities and discussion; (4) collaborative group presentations and role-plays; and (5) cultural competency plan. Thirty-two students completed the evaluation surveys to assess their overall feedback about course activities and 36 students completed anonymous online course evaluations to assess their level of attainment in all course competencies. Student feedback collected in course evaluations and surveys, students’ self-assessment of attainment of course competencies, and the instructor’s critical reflection and self-assessment, suggest that teaching social justice using a reflective, experiential, and collaborative pedagogical approach has a promising potential for advancing course objectives. Through these activities, students increased their knowledge on a range of topics such as racism, oppression, microaggression, social identities, intersectionality, privilege, and cultural humility, enhanced their understanding of various forms of prejudice and discrimination, and acquired critical skills and cultural competence that have direct application in social work field.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».