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Record W4385293359 · doi:10.60149/pprm5015

An Investigation into the Metacognitive Writing Strategies of Turkish Cypriot University Students

2011· article· en· W4385293359 on OpenAlexaff
Özge Razı

Bibliographic record

VenueCALR Linguistics Journal - Issue 1 · 2011
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsTrinity College
Fundersnot available
KeywordsMetacognitionTurkishPsychologyMathematics educationQualitative propertyData collectionSignificant differenceRelation (database)Medical educationPedagogyCognitionMedicineComputer scienceSociology

Abstract

fetched live from OpenAlex

This paper presents findings from a study done in an English preparatory school of a University in North Cyprus. The study focused on the use and awareness of metacognitive learning strategies in relation to writing skills. Data collection was done through the means of quantitative, student-questionnaire, and qualitative, teacher-interview, measures. The findings show that less than half of the participants used and were aware of metacognitive learning strategies. Although teachers mentioned such strategies during the lessons, according to the questionnaire results, less than half of the 250 participants used strategies or had awareness of them. Conclusion would, therefore, be that mentioning strategies to encourage students to use strategies is not enough. A statistically significant correlation between the success rate and metacognitive strategy use and awareness was proved in support of the findings in the literature. The implication of this finding for teachers is that, implementing strategy instruction in our classrooms could increase the success of students and, as the success rate of the students is increased, they will use more strategies with an increased awareness.

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)0.004
metaresearch head score (Gemma)0.002
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 score0.312
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.078
GPT teacher head0.403
Teacher spread0.325 · 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 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

Citations2
Published2011
Admission routes1
Has abstractyes

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