Teacher Training and Innovative Curriculum at the Faculty of Medical Sciences of the National University of Asunción: Strengths and Challenges of a Transformative Process
Notice bibliographique
Résumé
The Faculty of Medical Sciences of the National University of Asunción undertook a significant challenge by implementing a competency-based medical curriculum through the Curricular Innovation Project and the development of the 2015 Curriculum. This initiative aimed to transform educational practices, institutional culture, and the role of teachers, supported by a comprehensive teacher training strategy and strong academic governance. This study analyses the process of teacher training and development that enabled the Faculty of Medical Sciences of the National University of Asunción to implement the competency-based curriculum. It identifies key milestones, training models, results, strengths, obstacles, and challenges, aligning them with international standards of medical education. The researchers utilized qualitative documentary analysis, employing thematic analysis with both inductive and deductive approaches. They examined institutional documentation from 2012 to 2023, including reports from the Department of Teaching Development, teaching profiles, minutes from the PIC, curricular evaluations, teacher training programs, scientific articles, conference reports, and regulatory documents. For comparative analysis, researchers incorporated international references from organizations such as the World Federation of Medical Education, the Royal College of Physicians and Surgeons of Canada competency model, and the Accreditation Council for Graduate Medical Education process. A complex, participatory curricular governance structure, led by academic commissions and the Department of Teaching Development, guided the process. Continuous professional development for teachers progressed through programs, specializations, workshops, and international consultancy, mainly focusing on authentic assessment, use of technology, curricular integration, and active methodologies. The COVID-19 pandemic accelerated digital transformation, enhancing technological literacy and pedagogical support across the Faculty. However, structural challenges persisted, including cultural resistance, the lack of a formal teaching career, care overload, and varied appropriation of the new model across departments. In summary, the article argues that the Faculty achieved national and regional distinction in competency-based medical education by establishing strong academic leadership, sustained teacher training, and effective curriculum governance. However, it emphasizes that ensuring the sustainability of this transformative process requires overcoming persistent challenges in policy, teacher career pathways, and the integration of research.
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 | 0,012 | 0,059 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,027 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».