Development of Mental Health Education in an Artificial Intelligence Model in Private Higher Education at Guizhou Qiannan Economic College

บทคัดย่อ

This research consists purposes were 1. to analyze the current status and key challenges of mental health education at Guizhou Qiannan Economic College in the context of AI 2. to develop a conceptual model for measuring the effectiveness of AI-supported mental health education in private higher education and 3. to confirm the validity and practical effectiveness of the proposed model through empirical testing and expert evaluation. The research employed a mixed-methods design including Delphi consultation, pilot testing, a large-scale questionnaire (n = 540), CFA and structural equation modeling (SEM), supplemented by semi-structured interviews (n = 12) and expert focus-group evaluation (n = 5). Results indicate strong institutional policy support (Input), robust process quality (curriculum relevance, feedback, interaction) and positive outcomes (satisfaction, mental health literacy, behavioral change, psychological well-being, and value internalization). SEM confirmed that Input → Process (B = 0.78) and Process → Outcome (B = 0.81) are strong pathways; Input also exerted a direct effect on Outcome (B = 0.36). The expert review endorsed the final circular model with AI positioned as a central mediating force. The paper presents the validated model, discusses implications for practice and policy in private colleges and outlines recommendations for ethical AI governance, capacity building and sustainability.