Analysis of the Influence Factors of College Students’ Game Addiction Under the Background of Big Data Technology
- 10.2991/978-94-6463-012-1_51How to use a DOI?
- Big Data; Mental Health; College Students’ Online Game Addiction; Java Technology; Negative Life Events; Ruminant Thinking
Based on the characteristics of wide coverage, strong representation, and high reliability, big data can be used to predict and reduce the occurrence of public health emergencies, and provide a reference for education managers to understand the mental health of students. This study uses Java technology to randomly select 475 college students from various provinces and cities in China to explore the influencing factors of college students’ Internet game addiction. SPSS25.0 regression analysis was used to characterize students’ network time, and data mining methods were used to predict high-risk Internet addiction students. The results showed that college students’ addiction to online games differed significantly in terms of grade, gender, only child and family status. Rumination thinking played a partial mediating role between negative life events and college students’ addiction to online games, with a mediating effect value of 8%. The application of big data technology enables education administrators to understand the mental health of students under the influence of Internet addiction, and to grasp accurate information from the beginning.
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Cite this article
TY - CONF AU - Linming Liu AU - Jian Wang PY - 2022 DA - 2022/12/09 TI - Analysis of the Influence Factors of College Students’ Game Addiction Under the Background of Big Data Technology BT - Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) PB - Atlantis Press SP - 460 EP - 467 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-012-1_51 DO - 10.2991/978-94-6463-012-1_51 ID - Liu2022 ER -