论文部分内容阅读
目前,电子游戏已经成为青少年的一种重要娱乐休闲方式。其在给青少年带来快乐的同时,也在一定程度上减少了青少年的课外学习时间,困扰了学生、教师和家长。高中生心智发展迅速,但对电子游戏普遍存在较强的依赖性,而且由于其学业紧张,很容易受到电子游戏的影响。针对这个问题,本文分析了基于决策树的电子游戏对高中生学习成绩的影响,并利用机器学习的方法分析了电子游戏与高中生成绩之间的隐含关系,帮助教师和家长有针对性地对高中生进行积极健康的引导。通过实验证明,该方法能发现游戏和成绩之间的隐含关系,并给出一定的建议。
At present, video games have become an important entertainment and leisure way for teenagers. While bringing happiness to adolescents, it also reduced the extra-curricular study hours of teenagers to a certain extent, disturbing students, teachers and parents. High school students develop mentally, but generally have strong dependence on video games. And because of their academic difficulties, they are easily influenced by video games. In response to this problem, this paper analyzes the impact of video game based on decision tree on the academic performance of high school students, and uses the method of machine learning to analyze the implicit relationship between video games and high school students’ achievement to help teachers and parents targeted Active and healthy guidance for high school students. Experiments show that this method can find the implied relationship between games and scores and give some suggestions.