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Record W2054109422 · doi:10.1177/153944920902900106

Cognitive versus Multisensory Approaches to Handwriting Intervention: A Randomized Controlled Trial

2009· article· en· W2054109422 on OpenAlexaff
Jill G. Zwicker, Allyson F. Hadwin

Bibliographic record

VenueOTJR Occupational Therapy Journal of Research · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicWriting and Handwriting Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHandwritingLegibilityIntervention (counseling)Randomized controlled trialCognitionOccupational therapyPsychologyPsychological interventionPhysical therapyPhysical medicine and rehabilitationMedicineComputer scienceArtificial intelligencePsychiatry

Abstract

fetched live from OpenAlex

The purpose of this study was to compare the effect of cognitive versus multisensory interventions on handwriting legibility of elementary school students referred to occupational therapy for handwriting difficulties. In this randomized controlled trial, 72 first- and second-grade students were assigned to either a cognitive intervention, multisensory intervention, or control (no intervention) group. Letter legibility was measured using the Evaluation Tool for Children's Handwriting before and after 10 weeks of intervention. Analysis of variance of change scores showed no statistically significant difference across the three groups. First-grade students improved with or without intervention, but second-grade students showed sizeable improvement with cognitive intervention compared to multisensory intervention ( d = 1.09) or no intervention ( d = .92). These results challenge current occupational therapy practice of using a multisensory approach for remediation of handwriting difficulties for students in second grade. A cognitive approach to handwriting intervention shows greater promise and is worthy of further investigation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.500
GPT teacher head0.527
Teacher spread0.027 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations51
Published2009
Admission routes1
Has abstractyes

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Same venueOTJR Occupational Therapy Journal of ResearchSame topicWriting and Handwriting EducationFrench-language works237,207