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Record W2903561627 · doi:10.5539/ies.v11n12p12

The Extent to Which Resource Room Teachers Making Use of Visual Organizations to Teach Students with Learning Disabilities

2018· article· en· W2903561627 on OpenAlexvenueno aff
Mohammad Muflih

Bibliographic record

VenueInternational Education Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicTechnology-Enhanced Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyMathematics educationResource (disambiguation)Teaching methodSample (material)Medical educationPedagogyMedicineComputer science

Abstract

fetched live from OpenAlex

This study aimed at revealing the reality of teacher’s use of learning resources rooms of graphic organizers in teaching students with learning disabilities, and the difficulties the teachers face while teaching these students. The study sample consisted of 83 of resource room teachers in Irbid Directorates of Education schools, to achieve the goals of the study, a questionnaire of 28 items was developed; 16 were used to reveal the reality of teachers’ use of learning resources, 12 items were used to reveal the difficulties that limit the teachers’ use of learning resource rooms of graphic organizers. The study also attempted to find the effect of certain variables such as gender, scientific qualifications and years of experiences on the teachers’ use of learning resource rooms of graphic organizers in teaching students with learning disabilities. The results of the study revealed the following: 1) In terms of the use of graphic organizers, the average of the means was 2.13 with a low level, and in the terms of difficulties, the average of the means was 2.77 with a high level. 2) There were significant differences among the means due to gender and in favor of males; due to level of qualifications and in favor of high diploma and, master degree; and due to years of teaching experiences and in favor of those who taught more than 10 years. The study reported certain recommendations for professionals and researchers.

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)0.001
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
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 head0.052
GPT teacher head0.457
Teacher spread0.405 · 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.

Study designQualitative
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
Published2018
Admission routes1
Has abstractyes

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