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Record W4293243793 · doi:10.1002/trtr.2112

More than “Good Job!”: The Critical Role of Teacher Feedback in Classroom Discourse and Language Development

2022· article· en· W4293243793 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

VenueThe Reading Teacher · 2022
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsConversationVocabularyPsychologyPedagogyLanguage developmentVocabulary developmentLanguage acquisitionMathematics educationTeaching methodLinguisticsDevelopmental psychologyCommunication

Abstract

fetched live from OpenAlex

Abstract Conversations between an adult and a child are effective ways to promote language and vocabulary development in young children. Considerable attention has been paid to teachers asking open‐ended questions to promote conversations. However, the feedback that follows the question is also an important part of promoting back‐and‐forth dialogue, and less attention has been paid to this aspect of an exchange. Teachers' feedback uniquely encourages conversations beyond one back‐and‐forth turn, essential for promoting rich adult–child language interactions. This paper discusses the role of teacher feedback in extending conversations that encourage children to use language in meaningful ways. We review the research findings on teacher feedback and offer evidenced‐based, practical suggestions on providing feedback, meant to support teachers and children as they engage in conversations. Asking open‐ended questions is one part of meaningful conversations; feedback extends the conversation and supports children's language development.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0020.000

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 head0.015
GPT teacher head0.315
Teacher spread0.300 · 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