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Record W2166932064 · doi:10.5539/jel.v2n1p104

Effective Transitional Plan from Secondary Education to Employment for Individuals with Learning Disabilities: A Case Study

2013· article· en· W2166932064 on OpenAlexvenueno aff
Loh Sau Cheong, Sharifah Zainiyah Syed Yahya

Bibliographic record

VenueJournal of Education and Learning · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsVocational educationCoachingContext (archaeology)PsychologyPlan (archaeology)Special educationGovernment (linguistics)Work (physics)Supported employmentMedical educationSample (material)Special needsPedagogyMedicine

Abstract

fetched live from OpenAlex

One of the major goals in the education and training of individuals with special needs is to prepare them forindependence. However, in the Malaysian context, parents who have special adolescents are in doubt as to whatwould be the future of their children soon after they have finished the vocational training. This case studyexplores the transitional needs and subsequently to develop an effective transitional plan from secondaryeducation to employment for Malaysian individuals with special needs. The sample comprises two high schoolspecial educators and four persons with learning disabilities who are at work. The findings were triangulatedamong five co-ordinators of Non-Governmental Organisation, as well as parents for the four persons withlearning disabilities and their employers. The findings reveal that transitional needs of individuals with specialneeds includes collaborative support system, job coaching, self-advocacy skills training, career guidance andtransition assessment, vocational training, trained transition personnel and transition services. The transitionprocess would be a collaborative process between the government and non-governmental sector. From thefindings, an effective transitional plan from secondary education to employment for students with learningdisabilities was drawn. Several implications have been drawn from this study.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.348
Teacher spread0.326 · 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 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

Citations17
Published2013
Admission routes1
Has abstractyes

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