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大学生心理健康教育
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人工智能赋能大学生心理健康教育路径创新
Xin Hua Ri Bao· 2025-08-21 21:33
随着社会竞争加剧和教育环境变化,大学生群体的心理健康问题日益凸显。校园心理危机事件频发、情 绪障碍发病率上升,这一现象不仅影响学生个体发展,更关乎国家人才培养质量和高等教育的可持续发 展。当前,高校普遍面临学生规模庞大、心理问题识别困难、问题类型多样、专业师资不足等现实困 境,传统心理服务模式已难以有效应对大体量学生群体心理支持的多样化与动态需求。心理健康教育亟 须引入提质增效的新动能。 □ 屠雯静 与此同时,人工智能(Artificial Intelligence,以下简称AI)技术迅猛发展,成为推动教育数字化转型的重 要力量,正逐步深入高校心理健康教育领域。2025年3月,教育部部长怀进鹏在全国两会"部长通道"发 布了《人工智能教育白皮书》的消息,标志着我国教育体系迈入AI深度赋能的新阶段。在此背景下, AI与心理健康教育的深度融合成为高校心理育人工作的新课题。那么,AI如何赋能大学生心理健康教 育?AI赋能面临的挑战与关键路径是什么呢? AI赋能大学生心理健康教育的实践路径与创新模式 近年来,在政策支持与技术发展双重驱动下,多所高校积极探索"AI+心理服务"的路径,逐步构建起多 维度、系统化的服务。高校 ...
大数据赋能大学生心理健康教育精准实施
Xin Hua Ri Bao· 2025-06-13 00:05
Core Viewpoint - The article emphasizes the importance of addressing college students' mental health issues as a critical factor affecting the quality of higher education, proposing a comprehensive management system based on big data to enhance prevention, intervention, and recovery strategies [1] Group 1: Prediction Phase - The prediction phase focuses on accurately identifying potential risks by establishing a multi-data collection and dynamic early warning mechanism for college students' mental health education [2] - It involves deep data integration and analysis, capturing students' behaviors and emotional changes through various platforms, including academic performance and social interactions [2] - Environmental factors, such as weather and social contexts, are monitored to assess their impact on students' mental health, particularly during high-stress periods like exams and graduation [2] Group 2: Prevention Phase - The prevention phase advocates for tiered and targeted strategies in mental health education, combining technological empowerment with humanistic care to create a supportive campus environment [4] - Primary prevention includes universal education for at-risk students, utilizing VR technology to simulate stress scenarios and conducting regular mental health assessments [4] - Secondary intervention involves tailored support for low and medium-risk students through online and offline resources, including mental health platforms and professional counseling [4] Group 3: Response Phase - The response phase outlines the need for urgent intervention for high-risk students, ensuring privacy and ethical compliance while coordinating with mental health centers and families [6][7] - A three-tiered treatment approach is proposed, involving emergency interventions, collaborative care among healthcare providers, and personalized follow-up services [7] - Emphasis is placed on protecting student privacy and adhering to ethical standards in mental health interventions [7] Group 4: Recovery Phase - The recovery phase highlights the necessity of a collaborative support network involving schools, families, and healthcare providers to assist students in transitioning from crisis to functional recovery [8] - It suggests creating a multi-dimensional support system that integrates various stakeholders to monitor and address students' mental health needs continuously [8] - The article advocates for a comprehensive support system that spans all stages of student development, from initial enrollment to graduation [9]