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数字时代学习使用智能设备的健康问题:扎根理论方法。

Health Issues with Learning to Use Smart Devices in the Digital Age: Using a Grounded Theory Approach.

机构信息

College of Nursing, Seongshin University, 2 Bomun-ro, 34da-gil, Seongbuk-gu, Seoul 02844, Korea.

College of Nursing, Korea University, Seoul 02841, Korea.

出版信息

Int J Environ Res Public Health. 2021 Jul 1;18(13):7062. doi: 10.3390/ijerph18137062.

DOI:10.3390/ijerph18137062
PMID:34280997
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8296991/
Abstract

The Korean government has announced a plan for a national policy to deliver smart education among all students. As a result, many people are worried about the possible health-related adverse effects. This qualitative study aimed at analyzing health issues related to middle school students who learn by using smart devices using the grounded theory approach. We conducted in-depth interviews with 30 students at four middle schools who used smart devices for more than a year. The analysis of this research data was based on the constant comparative method, using grounded theory as a theoretical framework. The data analysis revealed many concepts in 28 subcategories and 13 categories related to smart learning health issues, with the central phenomenon being experience with health problems. Students' health-related experiences were classified as physical or psychosocial symptoms. Adverse health effects related to smart learning were related to unsafe smart learning behavior and an inefficient smart learning environment. The consequences appeared to be the formation of diverse digital habits through the ambivalent use of smart devices and differences in ability to control health problems. Our findings suggest that students can form ideal habits for using smart devices if their health issues are well monitored and managed.

摘要

韩国政府宣布了一项在所有学生中推行智能教育的国家政策计划。因此,许多人担心可能会产生与健康相关的不良影响。本定性研究旨在使用扎根理论方法分析使用智能设备学习的中学生的健康问题。我们对四所中学的 30 名使用智能设备超过一年的学生进行了深入访谈。本研究数据的分析基于恒定性比较方法,使用扎根理论作为理论框架。数据分析揭示了与智能学习健康问题相关的 28 个子类别和 13 个类别中的许多概念,中心现象是体验健康问题。学生的健康相关体验被分为身体或社会心理症状。与智能学习相关的不良健康影响与不安全的智能学习行为和低效的智能学习环境有关。后果似乎是通过智能设备的矛盾使用形成了各种数字习惯,以及控制健康问题的能力存在差异。我们的研究结果表明,如果学生的健康问题得到很好的监测和管理,他们可以养成使用智能设备的理想习惯。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7659/8296991/9d8eb98ad3f4/ijerph-18-07062-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7659/8296991/97c0cd547550/ijerph-18-07062-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7659/8296991/9d8eb98ad3f4/ijerph-18-07062-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7659/8296991/97c0cd547550/ijerph-18-07062-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7659/8296991/9d8eb98ad3f4/ijerph-18-07062-g002.jpg

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