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Record W4407032340 · doi:10.61838/kman.psynexus.1.2.14

Enhancing Selective Attention in Children with Learning Disorders: Efficacy of Executive Functions Training

2023· article· en· W4407032340 on OpenAlex
Solmaz Bulut, Baidi Bukhori, Kamdin Parsakia

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

VenueKMAN Counseling and Psychology Nexus · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsnot available
Fundersnot available
KeywordsExecutive functionsTraining (meteorology)PsychologyCognitive psychologyCognitionNeuroscience

Abstract

fetched live from OpenAlex

The study aimed to evaluate the effectiveness of an executive functions training program in improving selective attention among children with specific learning disorders. It sought to assess the immediate and sustained impacts of the intervention by comparing changes in selective attention scores between experimental and control groups across pre-test, post-test, and follow-up measurements. A total of 40 children diagnosed with specific learning disorders were recruited and randomly assigned to either the experimental (n=20) or control (n=20) groups. The experimental group underwent a comprehensive executive functions training program, while the control group received no intervention. Selective attention was assessed for all participants at three time points: pre-test, immediately post-intervention (post-test), and at a follow-up session. Descriptive statistics, mixed-model Analysis of Variance (ANOVA), and Bonferroni post-hoc tests were employed to analyze the data. The experimental group demonstrated significant improvements in selective attention scores from pre-test to post-test (mean difference = 6.40, p = 0.001) and maintained these improvements at follow-up (mean difference = 6.55, p = 0.001). In contrast, the control group showed minimal changes across the same periods. Statistical analyses confirmed significant effects of time, group, and time × group interaction on selective attention scores, with large effect sizes (Eta² > 0.37) indicating the substantial impact of the intervention. The executive functions training program was highly effective in enhancing selective attention among children with specific learning disorders. The intervention led to significant and sustained improvements, highlighting the potential of targeted cognitive training in supporting children with learning challenges. These findings suggest that incorporating executive functions training into therapeutic and educational strategies for children with learning disorders could substantially benefit their cognitive development and academic performance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.488

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.029
GPT teacher head0.308
Teacher spread0.280 · 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