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Enregistrement W2099907521 · doi:10.1111/j.1365-2923.2009.03497.x

Fostering education scholarship: the mentored research group

2009· article· en· W2099907521 sur OpenAlexaff
Mark Goldszmidt, Elaine Zibrowski, Christopher Watling

Notice bibliographique

RevueMedical Education · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueInnovations in Medical Education
Établissements canadiensWestern University
Organismes subventionnairesnon disponible
Mots-clésMentorshipScholarshipMedical educationContext (archaeology)Qualitative researchFocus groupInstitutionHigher educationFaculty developmentPsychologySociologyPedagogyMedicineProfessional developmentPolitical scienceSocial science

Résumé

récupéré en direct d'OpenAlex

Context and setting Increasingly, clinical faculty members are being encouraged to participate in education scholarship, but for those without a pre-existing track record of such work, a number of barriers exist. Neither traditional faculty development programmes nor advanced education training, including that provided by Master’s level programmes, may adequately address these barriers. Why the idea was necessary Although many medical school faculty members possess a personal interest in research and some have also undertaken advanced education training, few have successfully transitioned to a stage of actively pursuing education research. In our institution, we found a trend for faculty members interested in education to choose leadership over research career paths. A local needs assessment identified a gap in the area of education research mentorship, which we surmised might be a contributor to these problems. The purpose of this project was to assess the feasibility and effectiveness of using an external mentor to support a research group that would in turn promote the development of a cadre of medical education researchers. What was done In the fall of 2005, we arranged that a mid-career education scientist from a nearby medical school, with expertise in qualitative research, would serve as a research mentor. The opportunity to participate in a group mentored by the expert was advertised via e-mail. The project had six phases: (i) initial group formation and introduction to qualitative methods (three monthly meetings with readings); (ii) identification of a research question and determination of appropriate methodology for its exploration (four bi-monthly meetings); (iii) delegation of a principal investigator and preparation of an ethics application and grant proposal (four to six meetings over 2 months); (iv) data collection and analysis (1 year); (v) dissemination of results (1 year), and (vi) development of follow-up projects (ongoing – into its second year post-project). During each phase, an attempt was made to include all members of the group and to allow different members to participate to greater and lesser extents depending on the tasks and their availability. As the group progressed into phases 4–6, the mentor personally attended meetings at key time-points, but was continually available for advice by phone and e-mail. Evaluation of results and impact Ten individuals indicated an initial interest in participating and nine committed to joining after the first meeting. One dropped out by phase 2. Two others subsequently dropped out because of time constraints by phase 3. The remaining six individuals have collaboratively published two papers and have another currently under review. Six peer-reviewed presentations have been given at international meetings and five at local education conferences. All members co-authored the papers and all but one have presented. The group has remained together and has received two additional grants for follow-up projects. In a post-project anonymous survey, all members who continued their participation rated their experiences very highly. One group member said: ‘It was one of the highlights of my working career.’ Lastly, our mentor also rated the experience highly and has agreed to continue mentoring the group during its ongoing projects.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,227
score de la tête « metaresearch » (Gemma)0,214
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,773
Score d'incertitude au seuil0,953

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,2270,214
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0040,002
Études des sciences et des technologies0,0360,030
Communication savante0,0260,021
Science ouverte0,0100,067
Intégrité de la recherche0,0100,014
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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 Opus0,069
Tête enseignante GPT0,477
Écart entre enseignants0,408 · 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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeThéorique ou conceptuel
DomaineMéthodes
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

Citations7
Publié2009
Routes d'admission1
Résumé présentoui

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