Considerations of South-Central Ontario Secondary Teachers for Accommodating Students Experiencing Academic Anxiety
Bibliographic record
Abstract
This qualitative study explores the experiences of three south-central Ontario secondary teachers related to accommodating students with academic anxiety or high stress levels. The research question is What do secondary teachers from south-central Ontario school boards consider when deciding on accommodations for students experiencing academic anxiety? In extension, I investigate barriers that teachers face while trying to support students with academic anxiety and which supports teachers value most when accommodating for students with academic anxiety. The participants were interviewed individually and in person through semi-structured interviews lasting between 40 and 90 minutes. The themes that arose from the participants’ experiences were that teacher philosophies, supportive relationships with students, and student autonomy were the three important factors that contribute to appropriate and effective accommodations for students with academic anxiety effective. Barriers teachers faced while trying to accommodate for students was a lack of training and mental health professionals available for resource sharing and support. Future research should investigate student perspectives on the effectiveness of collaboration with teachers and student autonomy on reducing stress and anxiety levels. Additionally, teacher training programs should highly consider differentiating training for various levels of background knowledge and maintaining a continuous – not-isolated – learning experience for teachers to maintain knowledge on current issues surrounding mental health.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.010 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".