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Record W3197919325 · doi:10.1080/21622965.2021.1967154

Symbol relations training improves cognitive functioning in students with neurodevelopmental disorders

2021· article· en· W3197919325 on OpenAlexaff
Negin Motamed Yeganeh, Rachel King, Lara A. Boyd, Gregory M. Rose, Rachel C. Weber

Bibliographic record

VenueApplied Neuropsychology Child · 2021
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of British ColumbiaVancouver Coastal Health
Fundersnot available
KeywordsCognitionPsychologyNeuropsychologyIntervention (counseling)Psychological interventionClinical psychologyCognitive trainingAutismDevelopmental psychologyAttention deficit hyperactivity disorderPsychiatry

Abstract

fetched live from OpenAlex

Students with neurodevelopmental disorders [Specific Learning Disorders (SLD), Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD)] often experience learning challenges due to underlying weaknesses in cognitive processes. As these are some of the most common conditions to impact functioning, the development of effective treatments is a priority for neuropsychologists. However, the task of designing effective cognitive interventions has proven one of the most difficult challenges for our field. The Arrowsmith Program uses a novel approach compared to other cognitive intervention programs. We hypothesized that intensive practice of one aspect of this program would lead to improved cognitive functions in students with neurodevelopmental disorders. Twenty-seven students with neurodevelopmental disorders (ages 9.4–18.4 years) were recruited from Arrowsmith schools. Cognitive baseline and post-intervention data were gathered using components of the Woodcock–Johnson IV Tests of Cognitive Abilities. The intervention consisted of 6 weeks of intensive practice of the Symbol Relations Task. W-scores were used in a paired sample t-test analysis to determine if cognitive skill improvement occurred. Significant improvements were found in several measures of neuropsychological assessment, in particular in the Cattell–Horn–Carroll broad abilities These results provide a foundation for further work examining the utility of this novel approach to cognitive intervention.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.890

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 integrity0.0000.001
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 head0.021
GPT teacher head0.300
Teacher spread0.279 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2021
Admission routes1
Has abstractyes

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