智能教育与教学
Journal of Intelligent Education and Teaching
- Publisher:Eastern Sunshine Publishing House Limited
- ISSN Print:3080-8405(P)
- ISSN Online:3080-8413(O)
- Subject Category:Educational Sciences
- Publication Frequency:Monthly
- Submissions:3
- Views:224
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素质教育背景下医学高职生心理健康问题调查与干预策略——基于3105名学生的实证分析
Mental Health Issues and Intervention Strategies for Medical Vocational College Students under the Context of Quality-Oriented Education: An Empirical Analysis Based on 3105 Students
Published: 2026-10-14
Author: 康红萍 ,康玉莲 :赣南卫生健康职业学院 江西赣州; KANG Hongping ,KANG Yulian :Gannan Health Vocational College, Ganzhou;
Chinese Abstract: 素质教育背景下，医学高职生心理健康问题日益突出，但现有研究缺乏针对该群体的系统性实证调查。本研究采用《中国大学生心理健康筛查量表》对两所医学高职院校3105名学生进行问卷调查，旨在揭示医学高职生心理健康现状，并提出干预策略。结果表明：（1）学生心理健康总体状况不容乐观，预警率为25.15%，空心总分异常检出率达18.26%；（2）专业差异显著（p＜0.001），临床医学专业预警率（35.82%）显著高于护理与药学专业；（3）年级差异显著（p＜0.001），大一学生近期风险与空心问题高于大二学生，但效应量偏小（近期风险Cohen's d＝0.24）；（4）男生空心总分显著高于女生（p＜0.05，d＝0.10）。研究发现，入学适应期与临床实习期是心理问题高发阶段，当前体系存在课程普适化、实习期服务断层、“校—院—家”协同缺位等短板。据此构建“预防—干预—发展”三位一体、以人工智能赋能的心理健康教育体系，建议强化医学情境课程教学、建立实习期心理服务双轨制与三方协同联动机制，并引入AI筛查预警与陪伴式支持，提升干预的精准性与可及性。
Abstract: In the context of quality-oriented education, mental health issues among medical vocational college students have become increasingly prominent. However, existing research lacks systematic empirical investigations targeting this specific group. This study administered the "Chinese College Student Mental Health Screening Scale" to 3,105 students from two medical vocational colleges to explore the current status of their mental health and propose intervention strategies. Results show: (1) the overall mental health status is concerning, with a warning rate of 25.15% and an abnormal detection rate of 18.26% for emptiness scores; (2) significant differences exist across majors (p<0.001), with clinical medicine having a significantly higher warning rate (35.82%) compared to nursing and pharmacy; (3) differences by grade are significant (p<0.001), with first-year students showing higher recent risk and emptiness issues than second-year students, although effect sizes are small (Cohen's d=0.24 for recent risk); (4) male students scored significantly higher on emptiness than female students (p<0.05, d=0.10). Findings indicate that the periods of academic adaptation and clinical internship are high-risk phases for psychological problems. Current systems suffer from generic curricula, service gaps during internships, and insufficient collaboration among schools, hospitals, and families. Based on these findings, we propose a tripartite mental health education system integrating prevention, intervention, and development, enhanced by artificial intelligence. Recommendations include strengthening curriculum instruction grounded in medical contexts, establishing a dual-track psychological support system during internships, promoting trilateral coordination mechanisms involving schools, hospitals, and families, and incorporating AI-based screening, early warnings, and companion-style support to improve the precision and accessibility of interventions.
Chinese Keywords: 医学高职生；心理健康；干预策略；素质教育；人工智能
Keywords: medical vocational college students; mental health; intervention strategies; quality-oriented education; artificial intelligence