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Record W2471267695 · doi:10.5539/ijel.v6n4p213

The Effectiveness of Metacognitive Teaching Strategies to Enhance Elementary School Pupils’ Reading Skills in the Northern Border Areas of Saudi Arabia

2016· article· en· W2471267695 on OpenAlexvenueno aff
Mogbel Aid K Alenizi, Mona Saleh Alanazi

Bibliographic record

VenueInternational Journal of English Linguistics · 2016
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsMetacognitionReading (process)Set (abstract data type)PsychologyMathematics educationField (mathematics)PedagogyDevelopmental psychologyCognitionComputer sciencePolitical science

Abstract

fetched live from OpenAlex

<p>Difficulties in the fields of learning are among the most modern special educational fields and the fastest developing because of the extra concern from the parents and those concerned with children who show learning disorders, which cannot be explained by mental, physical or working disorders. Learning metacognition has short term benefits in the field of learning and teaching as it gives the individual the ability to connect between their learning successes to themselves. It increases their confidence with their ability and creates opportunities for them to use the lessons for the skills development, performance and assistance in transferring skills to others during work. The present study attempts to figure out the effectiveness of Metacognitive Strategies to further enhance students’ reading skills. This empirical study shows significant results which further strengthen the proposed claims of such strategies which can be widely used to meet the learners’ needs in a formal educational set up.</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)0.012
metaresearch head score (Gemma)0.143
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.143
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 science0.0010.000
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 head0.014
GPT teacher head0.395
Teacher spread0.381 · 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 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

Citations7
Published2016
Admission routes1
Has abstractyes

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