The experiences of children with intellectual and developmental disabilities in inclusive schools in Accra, Ghana
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.
Bibliographic record
Abstract
BACKGROUND: Inclusive education is internationally recognised as the best strategy for providing equitable quality education to all children. However, because of the unique challenges they often present, children with intellectual and developmental disabilities (IDDs) are often excluded from inclusive schools. To date, limited research on inclusion has been conducted involving children with IDD as active participants. OBJECTIVES: The study sought to understand the experiences of children with IDDs in learning in inclusive schools in Accra, Ghana. METHOD: A qualitative descriptive design was utilised with 16 children with IDDs enrolled in inclusive schools in Accra, Ghana. Participants were recruited through purposive sampling and data were collected using classroom observations, the draw-and-write technique and semi-structured interviews. The data were analysed to identify themes as they emerged. RESULTS: Children's experiences in inclusive schools were identified along three major themes: (1) individual characteristics, (2) immediate environments and (3) interactional patterns. Insights from children's experiences reveal that they faced challenges including corporal punishment for slow performance, victimisation and low family support relating to their learning. CONCLUSION: Although children with IDDs receive peer support in inclusion, they experience diverse challenges including peer victimisation, corporal punishment and low family and teacher support in their learning. Improvement in inclusive best practices for children with IDD requires systematic efforts by diverse stakeholders to address identified challenges.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it