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Record W2027238811 · doi:10.1002/chp.1340240505

The role of educational theory in continuing medical education: Has it helped us?

2004· article· en· W2027238811 on OpenAlexaff
Karen Mann

Bibliographic record

VenueJournal of Continuing Education in the Health Professions · 2004
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsDalhousie University
Fundersnot available
KeywordsContinuing educationEducation theoryLearning theoryContinuing medical educationHumanismEngineering ethicsField (mathematics)PsychologySociologyPedagogyEpistemologyMedical educationMedicinePolitical scienceHigher education

Abstract

fetched live from OpenAlex

Despite the existence of many approaches to understanding learning and change and attempts to incorporate these into continuing education research and practice, the search continues for a comprehensive understanding of how learning is engendered in professional practice and the processes by which learning and change occur. This article considers four broad questions in relation to the practice of continuing education: (1) What can be expected of theory? (2) How does theory relate to the educational practice of those in continuing education and the goals of continuing medical education ? (3) How have practice and theory mutually informed our current understandings? (4) How can theory serve the field more effectively in the future? Broad orientations to understanding learning provide a framework for examining the contributions of theory and practice. The orientations include behaviorist, cognitivist, social learning, humanist, and constructivist; for each, an example is presented. Newer understandings also are introduced. The article concludes by considering reasons as to why theory appears not to have served us better and by offering ways in which those in continuing education can ensure greater usefulness of theory while contributing to its continued development.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.412
Teacher spread0.395 · 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 teacher head, not a consensus.

Study designOther design
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

Citations60
Published2004
Admission routes1
Has abstractyes

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