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Record W4386834975 · doi:10.61374/temp10.20

Penyesuaian Dalam Kalangan Siswa Guru Orang Kurang Upaya Penglihatan di Sebuah Institut Pendidikan Guru

2020· article· id· W4386834975 on OpenAlexaff
Arman Sani

Bibliographic record

VenueJurnal Penyelidikan TEMPAWAN · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

The purpose of this study is to explore adjustments made and the strategies of adjustments visually impaired trainee teachers take at a Teacher Education Institute.This study uses a case study design.Purposive sampling was used to engage four visually impaired respondents who are trainee teachers at one of the institutes of teacher education in the Federal Territory of Kuala Lumpur.The research tools used are semistructured interviews and document analysis.This study used qualitative methods to ensure respondents had the opportunity to share their experiences and opinions.Data was analysed using qulitative methods.The findings of the study reveal that provincial adaptations such as academic and social aspects or the main demographic aspects were made.The family factors and environmental adjustments and adjustements to amenities were other factors of adaptation that were made.Strategies such as obtaining parental views and social support from a former teacher were some strategies employed.Some areas that need to be taken into consideration especially are the role of IPGM, the provision of facilities and the implementation of appropriate learning methods for these visually impaired trainee teachers.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.004

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 head0.045
GPT teacher head0.312
Teacher spread0.268 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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