The Perspectives of Parents of Children with Disabilities Towards Pursuing Their Primary Education in Mbinga District, Tanzania
Bibliographic record
Abstract
This study examines the perspectives of parents of children with disabilities regarding the pursuit of primary education in Mbinga District, Tanzania. The research explores how parents' attitudes, experiences, and challenges influence their decisions and support for their children's education. Guided by the Social Learning Theory, proposed by Canadian-American psychologist Albert Bandura in 1977, which posits that learning occurs through observation, imitation, and modeling, this study analyzes parental perspectives shaped by social, emotional, and motivational factors’ convergent research design under a mixed research approach was utilized, employing both probability and non-probability sampling techniques to select respondents. Data were collected through interviews and focus group discussions with parents of children with disabilities. The study found that parents generally value education and recognize its importance for their children's future. However, they face significant barriers such as social stigma, inadequate infrastructure, lack of specialized resources, and financial constraints, which hinder their children's full participation in primary education. The study concluded that comprehensive strategies are needed to address these challenges. Increased community awareness, improved resource allocation, and supportive policy frameworks are crucial for enhancing the educational experiences of children with disabilities in Mbinga District. The study recommends that the Ministry of Education and local government authorities organize capacity-building programs for parents, teachers, and school administrators to foster an inclusive educational environment. These measures will help ensure equal educational opportunities for all children, regardless of their disabilities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".