New digital opportunities in diagnosis and prevention of students’ mental health

Российский вестник гигиены Pub Date : 2022-04-01 DOI:10.24075/rbh.2021.030

G. Goncharova

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引用次数: 3

Abstract

The article deals with new digital opportunities in diagnosis and prevention of health and well-being of students that also create principally new conditions for getting education. Use of digital traces, big data, machine learning and computer modelling in diagnosis results in obtaining important data about mental health of students to examine their behavior, physical activity, emotional condition and a wide specter of personal traits in detail. Quantitative methods combined with big data and artificial intelligence (AI) technologies are utilized to anticipate certain neurological and mental diseases. They allow to overcome limitations of traditional research methods and expand the opportunities of modern education by changing the educational process based on the analysis results and adapting them to the student’s current state and development. When digital technologies are moderately used under certain conditions, they (chat-bots, applications and other online resources) can be utilized as preventive activities, estimating one’s health, improving social and psychological well-being and interactions by transforming the educational process.

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诊断和预防学生心理健康的新数字机会

这篇文章讨论了在诊断和预防学生健康和福祉方面的新的数字机会，这些机会也主要为接受教育创造了新的条件。在诊断中使用数字痕迹，大数据，机器学习和计算机建模可以获得有关学生心理健康的重要数据，以详细检查他们的行为，身体活动，情绪状况和广泛的个人特征。定量方法与大数据和人工智能技术相结合，用于预测某些神经和精神疾病。它们可以克服传统研究方法的局限性，通过根据分析结果改变教育过程并使其适应学生的现状和发展，从而扩大现代教育的机会。当数字技术在一定条件下适度使用时，它们(聊天机器人、应用程序和其他在线资源)可以用作预防活动，通过改变教育过程来评估一个人的健康状况，改善社会和心理健康以及互动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Российский вестник гигиены

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