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Faculty development: if you build it, they will come

2010· article· en· W2460512306 on OpenAlexaff
Yvonne Steinert, Mary Ellen Macdonald, Miriam Boillat, Michelle Elizov, Sarkis Meterissian, Saleem Razack, Marie-Noel Ouellet, Peter J. McLeod

Bibliographic record

VenueMedical Education · 2010
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedical educationMEDLINEPsychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

OBJECTIVES: The goals of this study were three-fold: to explore the reasons why some clinical teachers regularly attend centralised faculty development activities; to compare their responses with those of colleagues who do not attend, and to learn how we can make faculty development programmes more pertinent to teachers' needs. METHODS: In 2008-2009, we conducted focus groups with 23 clinical teachers who had participated in faculty development activities on a regular basis in order to ascertain their perceptions of faculty development, reasons for participation, and perceived barriers against involvement. Thematic analysis and research team consensus guided the data interpretation. RESULTS: Reasons for regular participation included the perceptions that: faculty development enables personal and professional growth; learning and self-improvement are valued; workshop topics are viewed as relevant to teachers' needs; the opportunity to network with colleagues is appreciated, and initial positive experiences promote ongoing involvement. Barriers against participation mirrored those cited by non-attendees in an earlier study (e.g. volume of work, lack of time, logistical factors), but did not prevent participation. Suggestions for increasing participation included introducing a 'buddy system' for junior faculty members, an orientation workshop for new staff, and increased role-modelling and mentorship. CONCLUSIONS: The conceptualisation of faculty development as a means to achieve specific objectives and the desire for relevant programming that addresses current needs (i.e., expectancies), together with an appreciation of learning, self-improvement and networking with colleagues (i.e., values), were highlighted as reasons for participation by regular attendees. Medical educators should consider these 'lessons learned' in the design and delivery of faculty development offerings. They should also continue to explore the notion of faculty development as a social practice and the application of motivational theories that include expectancy-value constructs to personal and professional 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)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.015
GPT teacher head0.357
Teacher spread0.343 · 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 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

Citations104
Published2010
Admission routes1
Has abstractyes

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