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Enregistrement W348311609

Effective Programmatic Tutor Training for Interprofessional Problem-Based Learning

2010· article· en· W348311609 sur OpenAlexaboutno aff
Marcel D’Eon, Peggy Proctor, Sandra Bassendowski, R. Dobson, Brenda Katheryn Udahl

Notice bibliographique

Revue˜The œjournal of faculty development · 2010
Typearticle
Langueen
DomaineHealth Professions
ThématiqueInterprofessional Education and Collaboration
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTUTORInterprofessional educationMedical educationGovernment (linguistics)Problem-based learningProgram evaluationPsychologyHealth careFaculty developmentTraining (meteorology)Professional developmentMedicinePedagogyPolitical science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

A provincial initiative to encourage interprofessional education and research resulted in the implementation of three interprofessional PBL (iPBL) modules at the University of Saskatchewan. The ambitious target of 1200 student iPBL experiences over three years presented a substantial teaching development challenge. Training incorporated many of the elements of effective workshops recommended in the literature. One effective feature of the tutor training program was a tutor support program offered both before and after the actual iPBL tutorial sessions. All three sources of evaluation data indicated that the iPBL tutor training was effective: participant satisfaction, student evaluations of tutors, and tutor self-assessments. Health Canada, a department of the federal government, sponsored and generously funded a three year initiative intended to: (1) encourage the creation of interprofessional education (IPE) activities defined as occasions when two or more professions learn with, from and about each other to improve collaboration and quality of care (Freeth, Hammick, Reeves, Koppel, & Barr, 2005, p. 11) and (2) demonstrate their benefits (Herbert, 2005; Romanow, 2002). A consortium of institutions and agencies from the province of Saskatchewan in western Canada was successful in receiving funds for its proposal, Patient Centered Interprofessional Team Experiences or P-CITE promised among other targets 1200 interprofessional student experiences in interprofessional problem-based learning (iPBL). Classical problem-based learning (PBL) is a small group case-based cooperative learning exercise whereby students engage in solving a realistic problem for which by design they have not been entirely prepared (Barrows & Wee, 2007). Initially learners resolve as much of the case as they can by drawing on what they think they know and then between sessions research what might be helpful in addressing issues presented in the case which they were unable to manage. The target of 1200 was very ambitious because, at that time, the University of Saskatchewan health sciences programs followed more conventional curricula and were not using PBL prior to P-CITE. PBL programs are predominantly uniprofessional and mostly medical. The opportunity to engage in large scale iPBL also presented a teaching development challenge to create a whole new program in a short period of time and to train tutors in iPBL, an entirely novel application of PBL not only to Saskatchewan, but worldwide. In 2005, prior to the formation of P-CITE only one person (one of the authors, MD) had experience in training PBL tutors and no experience with iPBL. There were clearly insufficient resources to meet the task of providing teaching development for the promised iPBL (let alone all the other IPE needs across the entire province of Saskatchewan). Showing great foresight P-CITE therefore established and funded the Faculty Development Working Group (FDWG) to design and deliver a province-wide teaching development program to include tutor training for iPBL. The working group was composed of teachers from five different health professional programs (Dental Hygiene, Medicine, Nursing, Pharmacy, and Physical Therapy) and both major provincial centres (Saskatoon and Regina) who possessed experience, leadership skills, and great dedication to interprofessional education supported by two part-time administrative coordinators. Although the scope of the FDWG was broader than just tutor training, only the iPBL-related teaching development is reported here. The Program Since iPBL projects were planned and many tutors were required the FDWG decided to dispense with a formal needs assessment in this case. We knew that iPBL tutor training was a top priority especially since there were few tutors already trained. The iPBL projects initially included only one module that addressed Aboriginal Health but grew with the addition of modules for HIV/ AIDS and Palliative Care. …

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)0,006
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,032

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,011
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0020,006
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0060,002

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 Opus0,044
Tête enseignante GPT0,428
Écart entre enseignants0,384 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations6
Publié2010
Routes d'admission1
Résumé présentoui

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