Educators’ Perceptions of Their Own Mental Health and Young Children’s Skills in the Second Year of the COVID-19 Pandemic in Ontario, Canada
Bibliographic record
Abstract
The current study aimed to understand the perceptions of kindergarten and primary (Grades 1 and 2) educators in Ontario, Canada, regarding their students’ developmental and academic skills and their own mental health during the 2021 to 2022 school year. Participants comprised 402 Ontario educators who completed an online survey. Educators perceived their students to be struggling in many areas. Results revealed that educators perceived their young students to be struggling in areas of their development, including overall and academic skills (both literacy and mathematics). Compared to their kindergarten educator counterparts, primary teachers were more likely to report that their current students were behind, both academically and developmentally. A third reported moderate levels of anxiety, while two-thirds reported moderate levels of depression. Anxiety was also found to be associated with educators’ perception of their students’ physical and socioemotional skills. Our findings suggest increased support is needed for young children’s developmental and academic progress who experienced many disruptions to their learning, as well as increased mental health support for educators.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".