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Record W3092861448

Environmental and Sustainability Education in Pre-Service Teacher Education in Canada: A Case Study

2020· article· en· W3092861448 on OpenAlexaffvenueabout
Laura Sims, Madeleine Asselin, Thomas Falkenberg

Bibliographic record

VenueCanadian journal of environmental education · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversité de Saint-Boniface
Fundersnot available
KeywordsEnvironmental educationSustainabilityCurriculumPlace-based educationPedagogyQualitative researchTeacher educationCritical reflectionSociologyEmpirical researchService (business)Reflection (computer programming)SAINTMathematics educationService-learningPsychologySocial science
DOInot available

Abstract

fetched live from OpenAlex

This qualitative case study examines the effectiveness of environmental and sustainability education (ESE) pedagogical strategies used in two Universite de Saint-Boniface pre-service teacher education Curriculum and Instruction courses. The methods used to teach these ESE pedagogical strategies are described. Findings from interviews with former students regarding their perspectives on the effectiveness of these strategies and how they are applying similar strategies in their teaching are presented. Findings suggest that these ESE pedagogical strategies are effective. Questions about efficacy of these strategies, the limitations of their implementation, and the study itself are reflected upon. This study contributes to Evans et al.’s (2017) call for empirical research into the effectiveness of ESE pedagogies and a critical reflection of such research by the researchers.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.230
Teacher spread0.225 · 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 designObservational
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

Citations8
Published2020
Admission routes3
Has abstractyes

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