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Record W2549791925 · doi:10.1080/14703297.2016.1257949

The instructional skills workshop: A missed opportunity in the UK?

2016· article· en· W2549791925 on OpenAlexafffundabout
John Paul Foxe, Mandy Frake-Mistak, Celia Popovic

Bibliographic record

VenueInnovations in Education and Teaching International · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Assessment and Pedagogy
Canadian institutionsYork UniversityToronto Metropolitan University
FundersEdinburgh Napier UniversityYork University
KeywordsAccreditationPedagogyPsychologyMedical educationMathematics educationMedicine

Abstract

fetched live from OpenAlex

The Instructional Skills Workshop (ISW) is a Canadian response to the challenge of ensuring university and college teachers have appropriate instructional skills. The programme is particularly successful in engaging teachers to enhance their stance towards student-centred teaching. This article explains the benefits of the ISW and explores possible reasons why despite proving popular in over 60 countries, it has not as yet been taken up in the UK. The authors conclude with a suggestion that the ISW could be a valuable addition to the UK approach of PG Certs and HEA accreditation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0090.010
Open science0.0020.007
Research integrity0.0100.006
Insufficient payload (model declined to judge)0.0200.004

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 head0.053
GPT teacher head0.428
Teacher spread0.375 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations20
Published2016
Admission routes3
Has abstractyes

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