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Record W2989727812

Occupational Therapy Handwriting Interventions on a Systems-Level

2019· article· en· W2989727812 on OpenAlexvenueno aff
Megan Buckingham, Shelby Goodfellow, Catherine Hannan

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2019
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsnot available
Fundersnot available
KeywordsHandwritingPsychological interventionOccupational therapyPsychologyComputer scienceMedicinePhysical therapyArtificial intelligenceNursing
DOInot available

Abstract

fetched live from OpenAlex

Julie Anderson, DrOT, OTR/L, is an occupational therapist in the Puyallup School District who works with elementary aged students. For this project, Dr. Anderson worked as the primary collaborator with occupational therapy students to answer the question: What is the evidence that occupational therapy interventions at a systems-level improve student's academic performance and skill development outcomes, such as handwriting, in elementary age students with and without disabilities? The results of this descriptive study indicate strong evidence that systems-level interventions, involving an occupational therapist, in a school setting improve at least one area of a student’s skill development. Additionally, any consistent handwriting curriculum improved handwriting skills in elementary school children compared to no handwriting curriculum. Finally, when teachers and occupational therapists collaborate, systems-level interventions can be implemented to best fit the needs of individual classrooms. Future research in this area should work to define the terms “systems-level” and “collaboration.” This would allow consistent results when comparing various studies performed at a systems-level and involving collaboration, as currently studies use multiple terms to describe the same approaches.\nKnowledge translation for this project included compiling the systematic review, as well as other handwriting research, into a PowerPoint to be presented to administrators at the Puyallup School District. The aim of this presentation was to educate administrators on the benefits of a districtwide handwriting curriculum for kindergarten and first grade classrooms, provide details on specific curricula and provide a possible implementation plan. Pre- and post-survey results, gathered at the presentation, indicate that administrators within the Puyallup School District believe they should have a districtwide handwriting curriculum. All administrators picked TV Teacher as the top choice at the end of the presentation. As a result of the presentation, the administrator for the kindergarten academy in the Puyallup School District will be using TV Teacher as the kindergarten academy’s curriculum. Future recommendations regarding this knowledge translation include recording data on handwriting for either pre- and post-handwriting curriculum or utilizing a between group design that compares half the Puyallup School District using a handwriting curriculum to half not using a handwriting curriculum.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.211
GPT teacher head0.426
Teacher spread0.215 · 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 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
Published2019
Admission routes1
Has abstractyes

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