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Enregistrement W6986540563

PORTFOLIOS FOR LEARNING AND RE-CREDENTIALING FOR PHARMACISTS

2023· dissertation· en· W6986540563 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity Library (University of Saskatchewan) · 2023
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueReflective Practices in Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPortfolioFeelingExperiential learningElectronic portfolioProfessional learning communityPerceptionActive learning (machine learning)Professional developmentLifelong learning
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The purpose of this study was to explore the experiences of pharmacists using learning portfolios as part of continuing professional learning and re-credentialing in Saskatchewan. This study sought to describe the learning experiences and activities of the participants, and their perception and experience of portfolio use as part of their learning experiences. More specifically, the study focused on the participants' use of the learning portfolio as a self-assessment tool.
\nSemi-structured interviews were conducted with 14 pharmacists who participated in a pilot study investigating the use of learning portfolios in the province. Participants' portfolios and other printed matter relating to participants' experiences were also used in this study. The information obtained was analyzed to identify categories and themes emerging from the participants' experiences.
\nResults showed that participants learned via instruction from continuing professional education programs, and from self-initiated personal inquiry and experiences. Participants' learning efforts were directed by their professional goals and interest, and moderated by situational factors. While participation in educational programs helped participants to keep up-to-date, maintain a broad knowledge base, and meet re-licensing requirements, learning through personal inquiry and experiences were directed by meeting workplace needs.
\nParticipants understood self-assessment to be a self-reflective process whereby they identified their personal strengths and weaknesses, and evaluated their progress and achievements. Difficulties with self-assessment occurred when participants did not have sufficient knowledge in the subject matter, or when they did not know what the larger professional community expected of them.
\nParticipants were initially anxious and uncertain about learning portfolio use. These feelings abated with continued use of the learning portfolio. Participants indicated no changes in their learning activities with portfolio use. The only change was to record their learning into a portfolio, rather than to collect continuing education units from participating in educational programs for re-credentialing purposes. 
\nParticipants used the learning portfolio primarily as a record to showcase their learning activities. Majority of the participants did not use the portfolios actively for self- assessment, although when reporting according to the portfolio format presented, they had to identify their learning needs and evaluate their learning outcomes. 
\nDifficulties with portfolio use were related to the novelty of the process, re-credentialing context, discrepancy between individual reporting style and portfolio format, and time constraints. Benefits of portfolio use resulted from the need to account for one's learning in writing, reporting according to the portfolio format presented, and the recognition of a wider range of learning activities for re-licensure.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,472
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,022
Tête enseignante GPT0,308
Écart entre enseignants0,286 · 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'étudeQualitatif
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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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