Notice bibliographique
Résumé
A proposal which would see clinical year Medicine students at Australian universities be tested on their critical reasoning skills to accurately manage patients has won University of Notre Dame academic, Dr Michael Wan, first prize at an international medical education conference. Dr Wan, Head of Assessment (Medical Education Unit) at the School of Medicine, Sydney Campus, submitted an abstract titled: Using script concordance testing as a new modality of assessment for graduate entry medical students – a pilot study, to the 6th Congress of Asian Medical Education Association (AMEA). He was awarded First Prize for Best Poster Presentation by a panel of international judges at the Congress held in Kuala Lumpur, Malaysia, earlier this year. Script concordance testing is a new modality of assessment in medical education where third and fourth year medical students are given a clinical scenario. They are then provided with additional background information to determine the likelihood of a particular diagnosis or the appropriateness of various investigations and management options. The new model tests a student’s clinical reasoning and problem solving ability and how they apply this to ‘real-life’ scenarios. Script concordance testing draws out a student's ability to think and reason like a medical professional. Prior to the assessment, a panel comprising several medical professionals will provide individual answers to the same questions given to the clinical year students. Should the students’ answers to an assessment question concur with the majority of specialists in the panel, they are given full marks. If their answer reflects a minority of specialists with a different opinion, students are still given a fraction of the total mark for that question. The UNDA School of Medicine, Sydney, the University of Adelaide and the University of Montreal have collaborated to develop and implement the new script concordance testing questions for clinical year medical students. Notre Dame’s Sydney Campus is one of the first universities in Australia to trial these types of questions in the assessment process for medical students. “So far the feedback from students has been positive since they love the style of questions being asked as they relate to the clinical encounters that they would see every day in the ward,” Dr Wan said. “The questions are more realistic, but they are also more difficult to answer as there is no absolute right or wrong response and your answer must concur with the views held by the majority of medical specialists.” Associate Dean of Teaching and Learning at the School of Medicine, Sydney Campus, Associate Professor Rosa Canalese, says it’s a great achievement to be recognised for innovation in assessment methodology on a global level. “To be at the forefront in this area is very exciting and to be acknowledged on the international stage is a fantastic achievement for such a young medical school,” Associate Professor Canalese said. Media Contact: Leigh Dawson (+61) 8 9433 0569, Mob (+61) 0405 441 093
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 | 0,001 | 0,004 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».