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Record W1508354913

A Decade of Evolution in the Practice Teaching Component Of a Canadian Teacher Education Program: What Drove Change, What Insights Were Gleaned, And What Challenges Lie Ahead

2014· article· en· W1508354913 on OpenAlex
Fiona Benson, Kate Hooton

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGlobal Education Review (Mercy College, New York) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCollaborative Teaching and Inclusion
Canadian institutionsMcGill University
Fundersnot available
KeywordsComponent (thermodynamics)Mathematics educationSociologyPedagogyTeacher preparationTeacher educationPolitical scienceEconomic growthPsychologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

This paper explores the many and diverse factors that have driven changes to the field-based component of a program of teacher education in a large Canadian university over the past 10 years.We look at key contexts of influence to any work in program change; that of internal and external bodies at the institutional level, the operational or program delivery level, feedback from stakeholders in teacher education, and lastly, the research and scholarship in teacher education that provides a framework for innovation and improvement.A significant inclusion in this paper is the perspective on the support at ground level that is required, but rarely acknowledged, to move any change initiatives forward.We present models that capture a decade of change to 4 undergraduate field experiences and 2 graduate level internships that comprise the field component of our teacher education program.We share key indicators of success resulting from these changes, highlight important insights gleaned, and point to pressing challenges that we face as we look to future program evolution that will carry us into the next decade.While this work reflects one single field-based component of a teacher education program in Canada, we trust that useful parallels can be drawn by the reader as they contemplate or are in the process of addressing and moving through similar orbits of change and evolution within their own programs.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.823
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.004
Open science0.0000.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.363
Teacher spread0.321 · 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