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Record W4290694846 · doi:10.1080/0142159x.2022.2094230

How learning-centred beliefs relate to awareness of educational identity and mission: An exploratory study among medical educators

2022· article· en· W4290694846 on OpenAlexaff
Marleen W. Ottenhoff- de Jonge, Yvonne Steinert, Iris van der Hoeven, Anneke Kramer, Roeland van der Rijst

Bibliographic record

VenueMedical Teacher · 2022
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsMcGill University Health Centre
FundersSchool of Medicine, Stanford University
KeywordsIdentity (music)Thematic analysisPsychologyExploratory researchPedagogyQualitative researchMeaning (existential)Medical educationSociologyMedicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Although learning-centred education would be most effective if all medical educators held learning-centred beliefs, many educators still hold teaching-centred beliefs. A previously developed theoretical model describes a relationship between beliefs, educational identity and 'mission,' meaning that which inspires and drives educators. To increase our understanding of why educators hold certain beliefs, we explored the empirical relationship between educators' beliefs and their awareness of their educational identity and mission. METHODS: A qualitative study was conducted using in-depth interviews with medical educators. We performed a deductive thematic analysis employing two existing models to examine educators' beliefs about teaching and learning and their awareness of their educational identity and mission. RESULTS: aware of both their identity and mission displayed teaching-centred beliefs, educators aware of their identity and mission displayed learning-centred beliefs. Those who were aware of their identity, but not their mission, displayed either teaching- or learning-centredness. CONCLUSIONS: Medical educators' awareness of identity and mission are related to their beliefs about education. Further research is needed into whether beliefs can change over time by increasing identity and mission awareness.

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)0.003
metaresearch head score (Gemma)0.012
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.012
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 integrity0.0000.002
Insufficient payload (model declined to judge)0.0170.000

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 head0.038
GPT teacher head0.362
Teacher spread0.324 · 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 designObservational
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

Citations10
Published2022
Admission routes1
Has abstractyes

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