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Record W69700606

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

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

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsnot available
Fundersnot available
KeywordsFacilitatorProblem-based learningPremiseTUTORCurriculumProcess (computing)Medical educationPsychologyMedicinePedagogyMathematics educationComputer science
DOInot available

Abstract

fetched live from 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. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.281
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations28
Published2003
Admission routes1
Has abstractyes

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