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Record W2954235570 · doi:10.1080/14703297.2019.1635905

Investigating support for scholarship of teaching and learning; We need SoTL educational leaders

2019· article· en· W2954235570 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.

Bibliographic record

VenueInnovations in Education and Teaching International · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsScholarship of Teaching and LearningScholarshipSociologyUnderpinningPedagogySituatedFaculty developmentProfessional developmentHigher educationEducational researchProfessional learning communityCentralityTeaching and learning centerTeaching methodPolitical scienceComputer science

Abstract

fetched live from OpenAlex

In this paper, we focus on the experience of faculty learning to do the Scholarship of Teaching and Learning (SoTL). Our two studies uncovered similar threshold concepts in SoTL in two contrasting contexts; one study done in the United Kingdom with teaching-focused academics while the other study, done in North America, focussed on educational leaders at a research-intensive university. Both studies revealed similar ontological and epistemological transformations of learning and doing SoTL. Underpinning the results of these studies is the reality that educational leaders are situated within a complex cultural network of personal, professional, and financial tensions. There are two levels of institutional culture: university level and departmental level. But, institutional policies are only useful if also supported locally. This paper is of interest to those developing their expertise in supporting SoTL, as well as faculty on a teaching and scholarship career route.

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)0.007
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.015
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 head0.117
GPT teacher head0.472
Teacher spread0.355 · 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