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Record W2791880172 · doi:10.5861/ijrsll.2018.2005

The impact of effective reading strategy instruction on EFL learners

2018· article· en· W2791880172 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

VenueInternational Journal of Research Studies in Language Learning · 2018
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsBrock University
Fundersnot available
KeywordsReading (process)PsychologyMathematics educationPedagogyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

This study investigated the relationship between Iranian elementary EFL learners' reading strategy instruction and their performance on different reading comprehension test types. In addition, it studied the differences among these learners' reading strategy preferences based on their personality types. A total of 60 Iranian EFL learners at the elementary level within the range of 15-30 years old were selected from among 100 participants. The participants were then divided into two groups of control (n=30) and experimental (n=30). Subsequently, reading strategies were taught to the experimental group during ten sessions. The findings indicated that reading strategies instruction had a significant impact on reading comprehension of the participants in the experimental group at the end of the treatment. These participants of different personality types did better in posttest of CL-test and multiple-choice test. Additionally, analysis of the results showed that participants tended to use metacognitive reading strategies more than cognitive and support strategies.

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)0.005
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.096
GPT teacher head0.558
Teacher spread0.462 · 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