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Record W2425083098 · doi:10.5539/elt.v9n8p73

Written Teacher Feedback: Student Perceptions, Teacher Perceptions, and Actual Teacher Performance

2016· article· en· W2425083098 on OpenAlexvenueno aff
Li Zhan

Bibliographic record

VenueEnglish Language Teaching · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPerceptionGrammarVocabularyMathematics educationClass (philosophy)English as a foreign languageForeign languagePedagogyLinguistics

Abstract

fetched live from OpenAlex

<p>This study sets out to investigate a teacher’s and her students’ perceptions of written teacher feedback in a college English as a foreign language (EFL) writing class in China. Essays, questionnaires, and interviews were employed to identify the types of feedback given by the teacher, the perceptions and preferences of students and the perceptions of the teacher. The teacher and her six students were interviewed, and sixty two students completed the questionnaires. The results are that the written teacher feedback covered content, organization, vocabulary, grammar and mechanics, and students reported that they benefited most from feedback on organization, which was focused on by the teacher but not specific enough and in a small amount. Moreover, the preferences of students were not expected by the teacher. Foreign language writing teachers were suggested to communicate more with their students about their feedback practices, and be aware of students’ perceptions and preferences, so that their writing instructions could be more effective.</p>

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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 score0.163
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0130.000

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 head0.013
GPT teacher head0.255
Teacher spread0.243 · 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.

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

Citations41
Published2016
Admission routes1
Has abstractyes

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