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Record W3146714783

Mental Health Literacies of Secondary School Teachers in Ontario: A Mixed Methods Study

2020· dissertation· en· W3146714783 on OpenAlexaboutno aff
M.P. Goel

Bibliographic record

VenueTSpace · 2020
Typedissertation
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationMental healthPedagogyPsychologyMedicineSociologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this mixed methods study is to investigate the mental health literacies (MHL) of secondary school teachers in Ontario – specifically, how they understand and address the mental health (MH) challenges of students. Over the past decade, the Ontario Ministry of Education (MOE) has encouraged the improvement of teachers’ MHL; this study, therefore, also investigates what opportunities teachers have access to and what barriers they face in supporting students’ MH. A total of 211 secondary school teachers completed an online survey and 21 teachers participated in one-on-one interviews. Approximately three-quarters of the interviewed teachers showed little interest in advancing their knowledge and understanding; the ones who showed interest either had someone in their family, extended family or friends’ circle impacted with MH challenges or their school had a strong focus on MH. Based on the 211 survey respondents, survey results showed that 61.1% of teachers did not support students with MH challenges in the academic session 2017-2018. For the interviewees and survey respondents who participated in the study, the study also showed that teachers from Co-op Education, Special Education, and Guidance Departments were more aware of MH challenges and had more confidence in assisting students with MH challenges. Analyses of the interview data suggest that motivation and exposure to opportunity are the two factors that could drive a teacher’s interest in learning about MH challenges. If a teacher with high intrinsic or extrinsic (administration driven) motivation is provided with many opportunities and/or resources, she or he will take interest and learn about MH of students. However, based on the survey results of survey respondents, only 24.6% of the teachers surveyed in this study worked in schools where principals were attempting to make teachers aware of MH resources. This study has implications for the MOE and the school boards. It is imperative for the MOE to ensure that the school boards provide consistent and continuous professional development to improve educators’ MHL so that they are able to assist students with MH challenges.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.093
GPT teacher head0.551
Teacher spread0.458 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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