Educators’ lived experiences of encountering and supporting the mental wellness of university students
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
Globally, there is an increasing prevalence of higher education students with mental health issues. Educators are guaranteed contact points, and students often seek their support to manage their mental wellness. However, there is limited research describing educators’ experiences of these interactions. This interpretive phenomenological study engaged 16 educators from an institution in Canada and Australia. Interviews were conducted to understand their lived experiences interacting with and supporting students with mental health issues. Data demonstrated that educators encountered students with challenges to mental wellness, most commonly around course assessments. These encounters caused strain on educators personally and professionally, which they responded to by adapting teaching practices to mitigate risks to student and educator wellbeing, compartmentalization and boundaries, and relational connection and support. Over time they evolved to manage this and incorporate this role into their teaching, with more confidence and less impact on themselves. This manuscript highlights the lived experiences of educators engaging with students with mental health stressors, and provides tangible examples of professional and personal modifications that mitigated the strain on the educator caused by these encounters.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it