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Record W2353243485 · doi:10.33524/cjar.v17i1.243

DO IPAD APPLICATONS HELP STUDENTS WITH DEVELOPMENTAL DISABILITIES IMPROVE LIFE-READINESS SKILLS?

2016· article· en· W2353243485 on OpenAlexvenueno aff
Michael Dunn, Brenda L. Barrio, Yun‐Ju Hsiao

Bibliographic record

VenueThe Canadian Journal of Action Research · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsnot available
Fundersnot available
KeywordsLife skillsPsychologyAction researchMedical educationLiteracyReading (process)Mathematics educationTask (project management)PedagogyMedicineEngineering

Abstract

fetched live from OpenAlex

Students with developmental disabilities often struggle with life-readiness skills (e.g., literacy skills such as reading and writing, task completion, and communication), which also help prepare students for the workplace. Assistive technology tools offer these students a means to do better in these areas. In this action-research study, we provided students with developmental disabilities (N=9) who were transitioning out of secondary school with iPad applications (apps) that could help them improve their life-readiness skills. The Common Core State Standards’ overall objective is students’ college and career readiness by the end of secondary school. While collecting qualitative and quantitative data across the 2012-2013 academic years, a group of educators worked with the students and their parents to help them learn and apply the iPad apps for life-readiness skills. The results indicated that all students improved in life-readiness skills. Ideas for future research as well as limitations of this study are also discussed.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.078
GPT teacher head0.396
Teacher spread0.318 · 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 designNot applicable
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

Citations7
Published2016
Admission routes1
Has abstractyes

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