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Intervention Mechanism of Internet addiction among College Students based on big data

机译:基于大数据的大学生互联网瘾的干预机制

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With the rapid development of Internet, the Internet addiction among college students is getting increasingly prominent and has become a significant problem for today’s college education work. In this paper, several effective modes of intervention for Internet addiction among college students, from the aspects of society, school and family, are discussed on the basis of big data. The data comes from the massive investigation took among the students in University of Electronic Science and Technology of China(UESTC). By combing the questionnaire survey with case interview, the main factors affecting Internet addiction can be judged based on the Chi-Square test.
机译:随着互联网的快速发展,大学生之间的互联网成瘾正在越来越突出,并已成为当今大学教育工作的重要问题。 本文在大数据的基础上讨论了大学生中大学生互联网成瘾的几种有效干预模式。 这些数据来自中国电子科学与技术大学的学生中的大规模调查(座位)。 通过梳理调查问卷调查,可以根据Chi-Square测试判断影响互联网成瘾的主要因素。

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