Parent perceptions of social well‐being in children with special educational needs during COVID‐19: A mixed‐methods analysis
Bibliographic record
Abstract
BACKGROUND: Children's educational experiences worldwide have been significantly impacted as a result of global school closures during the COVID-19 pandemic of Spring 2020. A growing number of studies aim to analyse impacts of these changes on social well-being, with limited studies placing an emphasis on the experiences of students with special educational needs (SENs). This article focusses on parent perspectives regarding impacts of school closures on social well-being in Canadian children with SEN. METHODS: This study uses a mixed-methods approach, drawing from both qualitative and quantitative survey data from Spring/Summer 2020. Participants (n = 263) were eligible for participation if they were a parent/guardian of a child or adolescent with an SEN. We first conducted a descriptive analysis of the key variables, namely, social well-being, grade level of the child, internet and device availability, and the presence of other school-aged children in the home (single child vs. multiple children). Next, we explored the relationship between these using a bivariate correlation. Finally, open-ended responses were analysed using an inductive approach to qualitative thematic analysis. RESULTS: The majority of parents expressed concern for their child's social well-being during the Spring 2020 school closures, with increased concerns for younger children. According to parents, children experienced communication barriers to peer interaction and many experienced emotional difficulties as a result. Technology was described as critical for some in maintaining social connections. Parents raised concerns about the impact of limited peer interaction on broader social skill development, in the short and long term. A small number of participants noted feelings of relief and reduced anxiety among their children with SEN. CONCLUSIONS: Findings highlight parent views of the negative impact of the pandemic on social well-being and the critical role in-person schooling plays in supporting peer relationships for children with SEN.
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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 | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".