MétaCan
Menu
Back to cohort
Record W1555608520 · doi:10.5539/ass.v11n18p183

Implementation of the Inter-Agency Collaboration in Vocational Education of Students with Learning Disabilities towards Preparation of Career Experience

2015· article· en· W1555608520 on OpenAlexvenueno aff
Noraini Abdullah, Mohd Hanafi Mohd Yasin, Nur Aishah Abdullah

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)Vocational educationPsychologyPedagogyMedical educationSpecial educationService (business)Qualitative researchSociologyBusinessMedicine

Abstract

fetched live from OpenAlex

Inter-agency collaboration is a very important element in the success of vocational education programs for students with special needs, especially for students with learning disabilities. Inter-agency collaboration is a team consisting of students, parents, school representatives and representatives of outside agencies involved in implementing, coordinating and developing service plans for students with special needs. However, the implementation of inter-agency collaboration with schools has remained at low levels. Therefore, this study was undertaken to explore the implementation of inter-agency collaboration and the obstacles faced by teachers in vocational education of students with learning disabilities towards career experience preparation. This study used a qualitative approach with case study design. Data were collected using interviews involving 10 teachers from vocational education in 6 Integration Program with Learning Disabilities (IPLD) schools. The findings show that there is inter-agency collaboration implemented with the schools involved but the implementation is not comprehensive. Results from interviews show that there are several obstacles in the implementation of inter-agency collaboration in terms of student attitude, parental attitude, and attitude of employers, financial problems and lack of information about the implementation of vocational education in IPLD. This study is expected to assist schools in implementing inter-agency collaboration to provide the best service to enhance the skills and careers of students with special needs especially students with learning disabilities.

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 score0.095
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.049
GPT teacher head0.458
Teacher spread0.410 · 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

Citations16
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAsian Social ScienceSame topicDisability Education and EmploymentFrench-language works237,207