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Record W3208794219 · doi:10.11575/ajer.v66i4.56696

Learning With and From Indigenous People: Navigating Transformative Pedagogy and Privilege in Teacher Education

2018· article· en· W3208794219 on OpenAlexaff
Laura-Lee Kearns

Bibliographic record

VenueUniversity of Calgary · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsPedagogyService-learningPsychologySociologyHumanitiesArt

Abstract

fetched live from OpenAlex

This case study explores the impact of an English language Arts Secondary methods class that focused on learning with and from Indigenous people. By participating in a number of in-class activities, taking a field trip, and engaging in a critical service-learning project that helped decentre the learner/teacher relationship, many non-Indigenous pre-service teachers were able to transform their understandings. Quantitative and qualitative data illustrate that most pre-service teachers challenged stereotypes, deficit thinking, and expanded their awareness; however, a minority experienced some levels of cognitive dissonance as their own privileged worldviews were challenged. This study explores the hope and challenges of decolonizing education, and a continuing need to imagine otherwise. Key words: decolonization, pre-service teacher education, social justice, Indigenous curriculum, calls to action Cette étude de cas porte sur l’impact d’un cours d’anglais en méthodologie au secondaire visant l’apprentissage avec, et de, personnes autochtones. Plusieurs enseignants non-autochtones en formation ont pu transformer leur compréhension en participant à des activités en classe, à une sortie éducative et à un projet d’apprentissage par le service qui a aidé à décentrer le rapport apprenant/enseignant. Les données quantitatives et qualitatives indiquent que la plupart des enseignants en formation ont fait abstraction des stéréotypes, ont surmonté des lacunes de raisonnement et ont amélioré leurs connaissances; toutefois, une minorité d’entre eux ont ressenti une certaine dissonance cognitive face à la remise en question de leurs propres visions du monde privilégiées. Cette étude explore l’espoir et les défis face à la décolonisation de l’éducation et du besoin permanent d’imaginer le monde autrement. Mots clés : décolonisation, formation préalable des enseignants, justice sociale, curriculum autochtone, Appels à l’action

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)0.008
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0210.031
Scholarly communication0.0070.006
Open science0.0020.017
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.274
Teacher spread0.266 · 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 designQualitative
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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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