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Enregistrement W69700606

The role of problem-based learning in the enhancement of allied health education.

2003· article· en· W69700606 sur OpenAlexaboutno aff
Kamran Tavakol, E. Anne Reicherter

Notice bibliographique

RevuePubMed · 2003
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueProblem and Project Based Learning
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFacilitatorProblem-based learningPremiseTUTORCurriculumProcess (computing)Medical educationPsychologyMedicinePedagogyMathematics educationComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

PROBLEM-BASED LEARNING (PBL) has gained much attention and implementation in medical and allied health education. It is a student-centered method of teaching, which is considered one of the most significant educational innovations in the past 2 decades. PBL depends on self-directed learning and is initiated by a clinical problem. In contrast to traditional teaching, it provides an environment in which learning is fostered by active inquisition.1 The role of the teacher in PBL is not that of a giver of information. Rather the PBL tutor or facilitator takes on a new role in which he or she, curbing the desire to impart knowledge directly, focuses on the learning process that the student requires.2 The basic premise in PBL is that the students take the major responsibility for their own learning. Conducting case discussions in small groups, raising questions, proposing hypotheses, searching for information, presenting data, setting priorities relevant to the case, and teaching each other become the principal tasks for the students in PBL programs. This process has led to efficient integration of knowledge, has improved interdisciplinary collaboration, and has had positive effects on students and facilitators. This article analyzes current literature on the basis, effectiveness, and working models of PBL in allied health education. It is designed for readers who are unfamiliar with PBL and are interested in using this new approach in their curricula. The goals of this article are to explain the PBL rationale, process, and current outcomes research. Examples of PBL in medical education and its application to allied health education are presented. Historical Background and Perspective During the 1950s and 1960s, predominantly lecture-based courses taught in medical schools were criticized for their lack of relevance to future practice of physicians. Concerns were expressed about the limited use of teamwork, the poor development of inquiry skills, and the gap between theory and practice.3 In the traditional, lecture-based environment, students showed little interest in their own professional development, which is essential in a time of rapid technologic and information growth.4 The dissatisfaction with traditional education was also stressed by the World Health Organization (WHO), which stated that: The explosion of scientific information makes traditional curricula increasingly irrelevant, because they are based on what is known today, to the exclusion of how to learn what will be known tomorrow.5 This position was enhanced in the more recent WHO Technical Report Series,6 which recommend that health professionals' ability to perform well in health care settings can be improved by using PBL or other student-centered approaches. Studies7,8 also reported that senior medical and nursing students often were frustrated with their inability to recall or apply the knowledge they had learned in previous years. What was missing was enough emphasis on the problem-solving skills required for the synthesis of information. To address these concerns, a move toward PBL began at medical schools at Case Western University in the United States during the 1950s and at McMaster University in Canada in 1965.9-11 This approach was based on the premise that physicians needed to learn more about the human side of medicine rather than just the technical side. The PBL approach was so successful that Harvard Medical School adopted a similar program in the 1980s.12 It was not until many years later, however, that PBL made its introduction into allied health education. In the 1980s, the responsibilities of physical therapists and occupational therapists grew. Educators of these students in the United States and Canada were faced with the challenge of shifting the educational focus from technical skills training to educating professionals. These health care providers required clinical reasoning skills and the ability to review critically and integrate research findings. …

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)0,005
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,027

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,004
Communication savante0,0040,003
Science ouverte0,0010,003
Intégrité de la recherche0,0020,002
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 Opus0,017
Tête enseignante GPT0,281
Écart entre enseignants0,264 · 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'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

Citations28
Publié2003
Routes d'admission1
Résumé présentoui

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