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Record W2974914470 · doi:10.1163/27730840-04902005

New Scotland to (old) Scotland: Lessons learned from an international student teacher practicum

2017· article· en· W2974914470 on OpenAlexaboutno aff
Daniel B. Robinson, Andrew Foran

Bibliographic record

VenueScottish Educational Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsPracticumInternshipTeacher educationNova scotiaStudent teacherPedagogyFocus groupProfessional developmentPsychologyStudent teachingRelevance (law)Pre-service teacher educationService (business)Medical educationSociologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

This paper reports on results from a recently completed research study conducted with pre-service teachers from Nova Scotia, Canada who completed their final student teacher practicum in Dumfries and Galloway, Scotland. With our attention directed towards a primary research question related to pre-service teachers’ own development, data were collected through synchronous online focus group interviews. Results revealed that pre-service teachers experienced both professional and personal growth, while also experiencing some unanticipated conflict and angst. Herein we present and discuss these results, especially as they relate to relevant literature and our own experiences with international student teacher practicums. This paper should be of particular relevance to those who share an interest in teacher education, practicums/field experiences/internships, and/or international education initiatives.

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 score0.132
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
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 head0.136
GPT teacher head0.521
Teacher spread0.385 · 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".

Quick stats

Citations4
Published2017
Admission routes1
Has abstractyes

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