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Record W4400982665 · doi:10.1080/21683603.2024.2375242

Effects of a cognitive rehabilitation training program in school-aged children with specific learning disorder

2024· article· en· W4400982665 on OpenAlexaff
Kamal Parhoon, Frederick L. Coolidge, Hamid Alizadeh, Hadi Parhoon, Apeksha Srivastava

Bibliographic record

VenueInternational Journal of School & Educational Psychology · 2024
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsAdler
Fundersnot available
KeywordsRehabilitationTraining (meteorology)CognitionCognitive trainingPsychologyCognitive rehabilitation therapyDevelopmental psychologyGerontologyPhysical medicine and rehabilitationClinical psychologyMedicinePhysical therapyPsychiatryGeography

Abstract

fetched live from OpenAlex

Objective This study investigated the effect of Cognitive Rehabilitation Training (CRT) on executive functions, problem solving, and attention in students with a specific learning disorder (SLD).Method Forty-two SLD students from the third to sixth grade (8–12 years old) were randomly assigned to 16 sessions of CRT (n = 21) or to a control (n = 21) group. Executive functions were assessed by the Behavior Rating Inventory of Executive Function (2nd ed.), problem solving by the Tower of London test, and attention by the Stroop test.Results Analyses of variance and post-hoc analyses revealed that there were significant improvements in the CRT group in most aspects of executive functions, problem solving, and attention, and these improvements were maintained over a two-month follow-up.Conclusion These findings suggest that a CRT program may have positive implications for cognitive functioning and may provide preliminary support for alternative therapeutic interventions for use in children with SLD.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.431
Teacher spread0.401 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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