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Record W3196858744 · doi:10.5296/ijld.v11i3.18985

Impact of Games and Online Activities on Students with Learning Disabilities in Improving Visual Perception and Maintaining Vision Power

2021· article· en· W3196858744 on OpenAlex

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

VenueInternational Journal of Learning and Development · 2021
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Health Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsPerceptionPsychologyBachelorCurriculumMathematics educationLearning disabilityVariable (mathematics)Bachelor degreeMedical educationPedagogyDevelopmental psychologyGeographyMathematics

Abstract

fetched live from OpenAlex

The study aimed to identify the impact of games and electronic activities in improving visual perception in students with learning disabilities using the descriptive survey curriculum study. The study members are from the entire community of 160 teachers and a teacher of doctors with learning disabilities of education directorates in The Province of Oman. The results showed that the level of impact of games and electronic activities in improving visual perception in students with learning difficulties has come with an average result. The average arithmetic of the total degree (3.66), as well as the results, showed statistically significant differences in the impact of the sex variable and for females, the effect of the variable scientific qualification, and for the benefit of the bachelor. The impact of the variable years of experience and in favor of experience from (5years to 10 years) and the effect of the variable method of teaching came in favor of the electronic method.

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)0.001
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 score0.048
Threshold uncertainty score0.240

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.038
GPT teacher head0.493
Teacher spread0.454 · 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