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Record W1476837600 · doi:10.5539/jel.v7n2p139

Profiles of Pre-service Teacher Education: An Investigation into the Nature of Selected Exemplary Programs in Jamaica and Michigan

2017· article· en· W1476837600 on OpenAlexvenueno aff
Heather Smith-Sherwood

Bibliographic record

VenueJournal of Education and Learning · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTeacher Education and Leadership Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTeacher educationCompetence (human resources)ContextualizationGeneral partnershipPedagogyContext (archaeology)PsychologyNarrativeHigher educationQualitative researchQuality (philosophy)Medical educationSociologyPolitical scienceMedicineSocial psychologySocial scienceComputer scienceGeography

Abstract

fetched live from OpenAlex

This qualitative multi-case study investigated thre exemplary pre-service teacher education programs in Jamaica and Michigan in order to provide an account of how they are structured in different contexts of tertiary institutions and, to identify how they ensure that their graduates are prepared to function effectively in today’s schools. Five categories of stakeholders across the three institutions were interviewed regarding their perception and expectations of pre-service teacher education in general as well as in the context of their program. The responses from these persons were described in narrative form, then analyzed and compared based on the similarities and differences that existed among them. The analysis led to the emergence of various themes across the three institutions, and these were used to draw conclusions relative to the structure of pre-service teacher education. The findings revealed eight distinguishing features of exemplary/effective pre-service teacher education programs whether university or college-based. (a) coherent program vision (b) cultural competence (c) collaborative partnership (d) contextualization (e) quality standards (f) well-planned and implemented field experiences (g) continuous assessment (h) experienced committed faculty and (i) a harmonious blend of theory and practice. To be effective, pre-service teacher education programs must prepare prospective teachers to adequately meet the challenges of teaching in today’s classrooms. To effect change, quality teachers are needed, and to produce quality teachers, quality preparation is a necessity.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.060
GPT teacher head0.381
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2017
Admission routes1
Has abstractyes

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