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Record W4415231955 · doi:10.5539/jel.v15n1p455

Developing Primary Mental Health Prevention Program Through Eight Mental Flourishing Components: Lessons from Action Research in Thai Secondary Schools

2025· article· en· W4415231955 on OpenAlexvenueno aff
Arunchat Khuruwanich, Porntida Visaetsilapanonta, Panom Ketumarn, Uthaithip Chiawiwatkul

Bibliographic record

VenueJournal of Education and Learning · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsnot available
Fundersnot available
KeywordsFlourishingMental healthPromotion (chess)Psychological interventionExperiential learningFocus groupAction researchHealth promotion

Abstract

fetched live from OpenAlex

Background: Thai youth face significant mental health challenges, with stress levels reaching 24.83%, depression risk at 29.51%, and suicide risk at 20.35% among those under 20 years old. Current mental health promotion in Thai schools demonstrates critical gaps, including fragmented activity design, emphasis on teaching over experiential learning, and reactive rather than preventive approaches. Objectives: This study aimed to (1) investigate factors affecting mental flourishing enhancement in secondary school students and (2) develop and implement a learning program to promote mental flourishing among secondary school students. Methods: This mixed-methods action research employed Kemmis and McTaggart’s four-stage cyclical process: planning, action, observation, and reflection. Participants included 80 grade-8 students from two classrooms with different academic abilities, school administrators, teachers, parents, and four education experts. Research instruments comprised a 10-session learning program, the Thai version of the EPOCH mental flourishing scale (reliability α = .919), semi-structured interviews, and focus group discussions. Results: Findings revealed four ecological system levels affecting mental flourishing: microsystem (family, friends, teachers), mesosystem (classroom and school activities), exosystem (social value trends, social media influence), and macrosystem (COVID-19 impacts, teacher development systems). Eight mental flourishing components were synthesized into two dimensions: meaningful living (purpose in life, autonomy, resilience, positive relationships) and life satisfaction (self-efficacy, optimism, vitality, psychological safety). The program significantly enhanced students’ mental flourishing, particularly perseverance (+0.42 points) and engagement (+0.31 points) among moderate-to-low academic ability students, with sustained improvements after two months. Analysis revealed three crucial implementation components that formed an emergent Trust-Setting-Stimulus (TSS) framework comprising trust-building, appropriate environment setting, and interest stimulation through real-life connected activities. Conclusions: The eight mental flourishing components provide a conceptual framework for designing mental health promotion activities for students. Teachers and educational personnel can apply the program and TSS Model to create holistic learning environments that promote mental flourishing. This primary prevention approach offers an effective alternative for building psychological immunity against mental health problems and future challenges among Thai youth.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.165
GPT teacher head0.523
Teacher spread0.358 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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