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Record W2585610251 · doi:10.1080/19415257.2017.1280523

Professional learning of instructors in vocational and professional education

2017· article· en· W2585610251 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProfessional Development in Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsUniversity of SaskatchewanNorQuest CollegeNorthern Alberta Institute of Technology
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsProfessional developmentProfessional learning communityVocational educationPsychologyFaculty developmentPedagogyActive learning (machine learning)Medical educationMathematics educationMedicineComputer science

Abstract

fetched live from OpenAlex

This article presents insights from a study into instructor professional learning in vocational and professional education (VPE) in Canada. While most studies on instructor learning focus on learning through formal professional development programmes, this study specifically focuses on professional learning as it happens in day-to-day practice. Analysis of 116 learning episodes reported by 27 instructors from various institutes for VPE shows that instructor learning is mainly focused on developing pedagogical content knowledge (PCK). Learning episodes studied were often externally prompted, not self-directed and involved mostly action-oriented reflection. Ellström’s theory of adaptive and developmental learning is used to further explain these findings. Because of the specialized nature of the content taught in VPE programmes, formal training in PCK is often not available; instructors rely on trial and error, student feedback and peer feedback to develop PCK. Educational leaders within institutes for VPE should consider encouraging professional development models that include collegial dialogue, such as mentoring and communities of practice, as well as the implementation and enactment of professional learning plans. Further research could focus on how existing workplace practices may be enhanced to further support instructor professional learning.

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.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.155
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.052
GPT teacher head0.452
Teacher spread0.400 · 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