Embracing uncertainty: medical student perceptions of a pediatric bootcamp developed in response to mandated changes during the pandemic
Notice bibliographique
Résumé
BACKGROUND: The start of the COVID-19 pandemic led to both shortened clinical rotations and consequent loss of embedded formal teaching time. In response to these learning gaps, a novel, virtual pediatric bootcamp was developed to provide a consolidated 3-week learning opportunity for clinical medical students. Pre-clinical students were encouraged but not required to participate, given the suspension of clinical patient experiences for all undergraduate medical learners and the uncertainty of when clinical rotations would resume. This group of students were particularly challenged with adapting their learning in response to the pandemic while also preparing to apply their pre-clinical knowledge to solve clinical problems. METHODS: A qualitative thematic analysis was used for this study. Ten semi-structured phone interviews were conducted with second-year medical students to explore their experiences and perceptions of the pediatric bootcamp. The six phases of thematic analysis proposed by Braun and Clark guided data analysis. To ensure rigour, the three aspects of rigour-credibility, transferability and confirmability were utilized throughout the project. RESULTS: Qualitative exploration from semi-structured phone interviews of second-year medical students' perceptions and experiences of this new and unanticipated learning experience revealed four main themes: (a) clinical relevance, describing how students were pushed to think about clinical problems in a new way; (b) timing, which explored conflicts related to competing interests, mental preparedness, and the interval between learning and application; (c) teaching strategies, describing how active learning and interaction were facilitated and challenges that arose; and (d) learning resources, highlighting the curated and accessible resources made available to the students, as well as those resources that learners develop for themselves. CONCLUSIONS: A novel three-week online case-based pediatric bootcamp fostered application of knowledge for clinical reasoning at a time when students were transitioning from preclinical to clinical learning. Students were stretched to balance competing priorities, and the bootcamp curated synchronous and asynchronous learner opportunities while allowing them to reflect on their own learning styles and effective virtual learning strategies. While bootcamps are often used to prepare learners for transitions between clinical stages, our findings suggest the bootcamp format can also facilitate transition from preclinical to clinical roles.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,009 |
| Communication savante | 0,008 | 0,004 |
| Science ouverte | 0,002 | 0,011 |
| Intégrité de la recherche | 0,003 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 source (Gemma direct ou Codex distillé), 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 ».