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Characterizing SoTL Across Canada

2019· article· en· W2971980382 on OpenAlexaffvenueabout
Genevieve Newton, Janice Miller‐Young, Monica Sanago

Bibliographic record

VenueThe Canadian Journal for the Scholarship of Teaching and Learning · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversity of AlbertaUniversity of Guelph
Fundersnot available
KeywordsScholarship of Teaching and LearningDiversity (politics)ScholarshipScope (computer science)SociologyDisciplineMedical educationPsychologyPedagogyPolitical scienceTeaching methodSocial scienceMedicineComputer science

Abstract

fetched live from OpenAlex

SoTL Canada recently conducted a survey to gain insight into the Scholarship of Teaching and Learning (SoTL) activities of faculty and staff at institutions of higher education across Canada. Questions were guided by several principles, including: (a) identifying who is doing SoTL (such as personal, institutional, geographical and professional characteristics); (b) characterizing how SoTL is being conducted, supported, and disseminated (such as collaborations with peers and students, the number of active projects), and (c) differentiating the levels at which SoTL activities are occurring and funded. While we likely did not fully capture the work being done, our inquiry nonetheless provides important data related to the current nature and scope of SoTL in Canada. We noted that the people doing SoTL show a wide diversity of characteristics including appointments and disciplinary affiliations although a majority of respondents were female, and that collaborations with both colleagues and students were commonplace. SoTL continues to be conducted primarily at the classroom level, and approximately 65% of respondents have received funding, mostly from the institutional level. We also found an increased amount of activity compared to the last Canadian survey conducted in 2012, in particular by staff from Centres for Teaching and Learning. Survey participants reported discussing their SoTL findings with their colleagues more often than with their students. A number of areas of future research are identified.

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)0.031
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0310.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0140.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.091
GPT teacher head0.398
Teacher spread0.307 · 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; both teacher heads agree on what is shown here.

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

Citations13
Published2019
Admission routes3
Has abstractyes

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