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Enregistrement W2332502925 · doi:10.1111/j.1365-2923.2012.04258.x

A peer‐reviewed collection of reports on innovative approaches to medical education

2012· article· en· W2332502925 sur OpenAlexaboutno aff
M. Brownell Anderson

Notice bibliographique

RevueMedical Education · 2012
Typearticle
Langueen
DomaineHealth Professions
ThématiqueChild and Adolescent Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedical educationCurriculumFormative assessmentObjective structured clinical examinationMedicineMedical ethicsPsychologyPedagogy

Résumé

récupéré en direct d'OpenAlex

Critical reflection: lessons learned from a communication skills assessment Using Google Docs to enhance medical student reflection Using hospital art in medical student reflection Students accompany acute hospital admissions from primary care ‘The Game’: student ‘teaching’ objective structured clinical examinations in South Africa Web-based blog supplement to evidence-based physical examination teaching Communication gaps in a teaching paediatric out-patient scenario ‘Care Factor’: engaging medical students with their well-being A novel student-selected component in medical admissions Empowering students to become involved in medical education Framework for feedback: the peer mini-clinical examination as a formative assessment tool Medical students teach basic life support in hospital Course evaluation respondents: are ‘low-performing retaliators’ really over-represented? Da Vinci’s notebook: a novel learning tool Oriented paediatric resuscitation: a new training approach Providing support to preceptors with resident doctors in difficulty Themed monthly evaluations: a focus on individual competencies E-learning strategies to improve general practitioners’ knowledge of age-related macular degeneration The ambulatory morbidity and mortality conference meets the morning report Evaluation of electronic versus traditional format poster presentations A Parisian-style salon addressing social determinants of health An innovative medical Spanish curriculum for resident doctors Broadening horizons: looking beyond disability ‘Imitating Art’: ethics, humanities and professionalism in undergraduate medical education Enhancing medical professionalism through interactive seminars Medical professionalism adapted to faith and cultural beliefs Addressing complex multi-dimensional health problems using interprofessional education Teaching ethics: are students getting the answers? The ethics script concordance test in assessing ethical reasoning ‘Really Good Stuff’ has been part of Medical Education since 2001 and the section has evolved in the years since then to better meet the needs of its readers. The field of medical education itself has also evolved and ‘Really Good Stuff’ serves as a harbinger of many of the new and innovative approaches emerging within it. However, it is challenging to explain a new concept that is no more than 3 years old, in around 500 words, and it is particularly challenging to provide any type of measurement of the impact of the innovation that is useful. It became clear to many of us involved in ‘Really Good Stuff’ that asking authors to write about the ‘results’ of their good stuff left reviewers confused about what the results meant, provided little useful information for anyone attempting to put into place the really good thing described in the report, and presented a rather artificial set of information about the new idea or concept. A change to the format of ‘Really Good Stuff’ was necessary in order to highlight the key points presented in the reports. After much discussion with the editor and the members of the journal’s international editorial board, we changed the format to organise the report content around the three questions: What problems were addressed? What was tried? What lessons were learned? This is the first time the reports have been presented in this new format and thus this collection represents another evolution of the section. All of the reports submitted incorporated the new format well. The external reviews focused on suggestions for changes to the content or issues of clarity, although a very few reviewers still sought evaluative data and ‘results’ from the reports. Fourteen countries are represented in this issue. Of the 29 reports published, four were written collaboratively by authors from two different countries. Perspectives on the topics of medical professionalism, working with other health professions (interprofessionalism), reflection on the part of students, and teaching as well as understanding ethics in different cultures are presented from Egypt, Saudi Arabia, the USA, Taiwan, Australia and Brazil. Different approaches to education and assessment are presented from South Africa, Canada, Spain and India. I hope that one of the lessons you learn from this issue of ‘Really Good Stuff’ refers to how much we can gain from our colleagues in different countries and from different cultures. I hope you find something that challenges your thinking, even if you don’t agree with the ideas presented, and that you enjoy what you read. Selecting which reports to publish from among the submissions continues to represent a challenge, for there is much really good stuff submitted. Lessons for authors include the need to ensure that if English is not your native language, you ask someone who speaks English well to read the report and adjust the writing before it is submitted. Some very good reports cannot be accepted because they are not written clearly enough to enable the reader to fully understand what was done and what was learned. One report in this collection documents an idea that was not successful and the lessons learned from that experience. Please consider submitting reports of ideas that did not work if the experience gave you valuable lessons that you would like to share. Thank you to all of the authors who have willingly shared their work, and to all of the reviewers for their time and energy. My particular thanks go to Sue Symons and Amanda Dove for their support in making ‘Really Good Stuff’ happen.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,030
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,259
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,030
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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.

Tête enseignante Opus0,132
Tête enseignante GPT0,465
Écart entre enseignants0,333 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations8
Publié2012
Routes d'admission1
Résumé présentoui

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