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Record W2556866420 · doi:10.5539/jel.v6n1p72

The Effects of Quality Books for Children and the Metacognitive Strategy on Students’ Self-Esteem Levels

2016· article· en· W2556866420 on OpenAlexvenueno aff
Erkan Çer, Ertuğrul Şahin

Bibliographic record

VenueJournal of Education and Learning · 2016
Typearticle
Languageen
FieldPsychology
TopicEducation, Achievement, and Giftedness
Canadian institutionsnot available
Fundersnot available
KeywordsMetacognitionPsychologySelf-esteemReading comprehensionTest (biology)ComprehensionIntervention (counseling)Reading (process)Significant differenceMathematics educationDevelopmental psychologyCognitionMathematicsStatistics

Abstract

fetched live from OpenAlex

Using a quasi-experimental design with pre-test and post-test control groups, 93 eighth grade students were randomly assigned either to the experimental or to the control group and responded to the Rosenberg Self-Esteem Scale two weeks before and after the intervention. While the students in the experimental group were instructed in quality books for children and reading comprehension skills based on metacognitive strategy for 10 weeks, the control group only received typical non-quality books. Study results showed that while the pre-test self-esteem scores of the students in both groups were similar before the intervention, the post-test self-esteem scores of the students in the experimental group were significantly higher than of those in the control group. Quality books and metacognitive strategy for students may not only help improve reading comprehension but also may increase self-esteem level.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.204

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 studies0.0000.000
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 head0.028
GPT teacher head0.402
Teacher spread0.374 · 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 designObservational
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

Citations11
Published2016
Admission routes1
Has abstractyes

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