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Record W2138829942 · doi:10.1111/1540-4781.00145

The Role of Reflective Conversations and Feedback in Helping Preservice Teachers Learn to Use Cooperative Activities in their Second Language Classrooms

2002· article· en· W2138829942 on OpenAlex

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.

Bibliographic record

VenueModern Language Journal · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsCoachingPsychologySupervisorMathematics educationPedagogyStudent teacherObject (grammar)Teaching methodQualitative researchTeacher educationComputer scienceSociology

Abstract

fetched live from OpenAlex

The object of this qualitative study was to examine how preservice second language teachers navigate through the difficulties of introducing cooperative learning into their classrooms during student teaching, despite the fact that this approach differs from their cooperating teachers’ customary teaching strategy. We sought to determine what helps or inhibits the student teachers’ progress. Although convictions about the usefulness of the cooperative approach and other personal motivation provided the springboard for experimentation, it became evident from the analysis of supervisory conversations that expert coaching and continuous moral support are essential to foster the development of the preservice teachers’ ability to innovate in their teaching approach. In the absence of informed in–school support, expert help is needed from outside the school. Under these conditions, the university supervisor becomes a central player in the preservice teacher’s construction of knowledge about cooperative learning.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.119
Threshold uncertainty score0.895

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 communication0.0000.000
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 head0.023
GPT teacher head0.303
Teacher spread0.281 · 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