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Record W2949464596 · doi:10.22329/celt.v12i0.5397

From Perception to Practice

2019· article· en· W2949464596 on OpenAlexafffundvenueabout
Lindsay Shaw, Kristin M. Brown, Donna E. Ellis, Peter Wolf, Debra Dawson, Lori Goff, Erika Kustra

Bibliographic record

VenueCollected Essays on Learning and Teaching · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversity of WindsorWestern UniversityMcMaster UniversityUniversity of WaterlooBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSociologyPedagogyHumanitiesIdeologyInstitutionPsychologyPolitical sciencePoliticsSocial sciencePhilosophy

Abstract

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Teaching culture is the product of a dynamic interplay among the embedded patterns, behaviours, values, beliefs and ideologies about teaching and learning within and across the many microcultures that make up a university. Educational researchers from across Canada developed a set of Institutional Teaching Culture Perception Surveys (ITCPS) to gain insight to an institution’s teaching culture at a particular point in time. Staff, faculty, and students from two institutions provided comments through an open-ended survey and focus groups, answering the question “What would indicate to you that teaching matters at your institution?” Aligning with the six ITCPS levers, the results identified both barriers and pathways to a strong institutional teaching culture, highlighting strategic priorities, assessment methods, effective pedagogy, supportive infrastructure, engagement opportunities and public recognition.
 
 La culture d’enseignement est le fruit d’une interaction dynamique entre les habitudes, les comportements, les valeurs, les croyances et les idéologies portant sur l’enseignement et sur l’apprentissage à travers les multiples microcultures qui composent une université. Des chercheurs en éducation de partout au Canada ont mis au point un sondage – appelé ITCPS – sur la perception de la culture d’enseignement afin de mieux comprendre une telle culture dans un établissement donné à un moment précis. Des employés, des enseignants et des étudiants provenant de deux établissements ont formulé des commentaires dans un sondage à questions ouvertes et dans des groupes de discussion. Ils ont répondu à la question suivante : « Qu’est-ce qui vous ferait penser que l’on accorde une valeur à l’enseignement dans votre établissement? » En adéquation avec les six mécanismes du sondage ITCPS, les résultats ont mis en évidence les obstacles et les voies à suivre pour atteindre à une culture d’enseignement forte en établissement, en soulignant les priorités stratégiques, les méthodes d’évaluation, la pédagogie efficace, l’infrastructure de soutien, les possibilités de participation et la reconnaissance publique.

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)0.004
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.034
GPT teacher head0.401
Teacher spread0.367 · 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 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

Citations2
Published2019
Admission routes4
Has abstractyes

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