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Record W2609473500 · doi:10.5539/elt.v10n5p204

The Effect of Talking Story Books on Saudi Young EFL Learners’ Reading Comprehension

2017· article· en· W2609473500 on OpenAlexvenueno aff
Hashem A. Alsamadani

Bibliographic record

VenueEnglish Language Teaching · 2017
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsnot available
Fundersnot available
KeywordsReading comprehensionPsychologyReading (process)Mathematics educationTest (biology)ComprehensionPedagogyLinguistics

Abstract

fetched live from OpenAlex

The current research study investigated the effects of talking story books on Saudi young EFL learners’ reading comprehension skills. A sample of Saudi-young-EFL learners were randomly selected and divided into two groups: an experimental group (40 students) and a control group (39 students). Students of both groups took a pre reading comprehension test at the mid of the 2016 academic year. The researcher used the talking story books when teaching the experimental group for four weeks whereas the students in the control group were taught without the use of talking story books. After four weeks of instruction, both groups completed the same reading comprehension test again. Measures of the means, standard deviations, and MANCOVA were used to determine the differences between the two groups. The study revealed that students who attended reading classes using talking story books outperformed their control group counterparts in many reading-based skills. This is indicative of the positive effects of talking story books on EFL young learners reading comprehension skills.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.304
Teacher spread0.294 · 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

Citations11
Published2017
Admission routes1
Has abstractyes

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