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Record W2117554785 · doi:10.1155/2014/286081

Faculty Development Effectiveness: Insights from a Program Evaluation

2014· article· en· W2117554785 on OpenAlexafffund
Anupma Wadhwa, Lopamudra Das, Savithiri Ratnapalan

Bibliographic record

VenueJournal of Biomedical Education · 2014
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersUniversity of Toronto
KeywordsFacilitatorCoachingMedical educationPsychologyExperiential learningScholarshipProgram evaluationFaculty developmentProfessional developmentPedagogyMedicineSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Background. Faculty development programs are often time and resource intensive. In order to accommodate time constrained clinicians a limited time commitment faculty development program was developed and was shown to be effective in improving participant’s scholarly productivity. Objectives . The objective of this study was to assess participants’ perceptions of why the faculty development program was effective in promoting scholarship in education. Methods . In-depth semistructured interviews of course participants were conducted a year after completing a faculty development program. The interviews were audiotaped and transcribed verbatim. The transcriptions were coded independently by the investigators for dominant themes. The investigators held coding meetings to further refine the themes and discrepancies were handled by referring to the transcripts and reaching consensus. Results . The participants’ satisfaction with the course as described in the interviews correlated with the early satisfaction surveys. Reasons offered for this impact fell into four broad categories: course content, course format, social networking during the course, and the course facilitation coaching strategies to achieve goals. Conclusions. Course focusing on the process, experiential learning, and situating the course facilitator in the role of a functional mentor or coach to complete projects can be effective in facilitating behaviour change after faculty development programs.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.984
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.407
Teacher spread0.377 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2014
Admission routes2
Has abstractyes

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