Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand DOI Creative Commons
Asamaporn Treearpornwong, Thiyaporn Kantathanawat, Mai Charoentham

и другие.

European Journal of Investigation in Health Psychology and Education, Год журнала: 2025, Номер 15(4), С. 61 - 61

Опубликована: Апрель 14, 2025

This study examines the psychological well-being (PWB) of lower secondary school students in Bangkok’s Secondary Educational Service Area Offices (SESAO) 1 and 2, using data mining techniques to analyze key influencing factors develop a culturally adapted PWB questionnaire. The research framework is based on six components: autonomy, environmental mastery, personal growth, positive relationships, life purpose, self-acceptance. Data were collected from 2543 2023 academic year analyzed Waikato Environment for Knowledge Analysis (WEKA) program JRip rule-based classification model. Results indicate that growth most predictive performance PWB, followed by relationships purpose. A newly developed questionnaire was tested reliability, with Supplied Test Set (80:20) method yielding strong metrics, including accuracy (90.18%), precision (69.00%), recall (90.90%), F-measure (78.40%). demonstrates mining’s effectiveness identifying adolescent within Thai context. findings provide educators policymakers insights fostering student contribute offering validated, relevant assessment tool.

Язык: Английский

Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand DOI Creative Commons
Asamaporn Treearpornwong, Thiyaporn Kantathanawat, Mai Charoentham

и другие.

European Journal of Investigation in Health Psychology and Education, Год журнала: 2025, Номер 15(4), С. 61 - 61

Опубликована: Апрель 14, 2025

This study examines the psychological well-being (PWB) of lower secondary school students in Bangkok’s Secondary Educational Service Area Offices (SESAO) 1 and 2, using data mining techniques to analyze key influencing factors develop a culturally adapted PWB questionnaire. The research framework is based on six components: autonomy, environmental mastery, personal growth, positive relationships, life purpose, self-acceptance. Data were collected from 2543 2023 academic year analyzed Waikato Environment for Knowledge Analysis (WEKA) program JRip rule-based classification model. Results indicate that growth most predictive performance PWB, followed by relationships purpose. A newly developed questionnaire was tested reliability, with Supplied Test Set (80:20) method yielding strong metrics, including accuracy (90.18%), precision (69.00%), recall (90.90%), F-measure (78.40%). demonstrates mining’s effectiveness identifying adolescent within Thai context. findings provide educators policymakers insights fostering student contribute offering validated, relevant assessment tool.

Язык: Английский

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