中文题名: | 基于因果模型的教育大数据分析—-以英语教学分析为例 |
姓名: | |
保密级别: | 公开 |
论文语种: | chi |
学科代码: | 080901 |
学科专业: | |
学生类型: | 学士 |
学位: | 理学学士 |
学位年度: | 2023 |
校区: | |
学院: | |
第一导师姓名: | |
第一导师单位: | |
提交日期: | 2023-06-19 |
答辩日期: | 2023-05-11 |
外文题名: | Educational big data analysis based on causal model :Taking English Teaching Analysis as an Example |
中文关键词: | |
外文关键词: | Causal model ; Confounding factor ; Education ; Backdoor path ; Causal diagram |
中文摘要: |
随着教育改革的推进,教育的政治地位和历史地位得到了空前的加强,我国对于教育领域的研究和投资也进一步加大。然而,目前在教育领域中,存在着较为明显的性别差异。但是,在我国的教学模式中, 对学生尤其是在初中英语教学过程中,很少涉及对性别差异对初中英语学习的影响的研究。本文把因果模型作为因果分析的手段,根据相关变量的因果关系,构建出因果图,进行图模型可行性检验,通过找到满足后门准则的变量集合,使用后门路径的方法,来对教育领域中性别差异表现对于初中学生的英语成绩进行因果效应的分析,来让学生和教师更加地客观公正的认识这一现象。同时找出现象的原因以及解决改进的措施,来推动教育领域的发展和进步。
|
外文摘要: |
With the advancement of educational reform, the political and historical status of education has been unprecedentedly strengthened, and China's research and investment in the field of education have also been further increased. However, there are currently more pronounced gender differences in the field of education. However, in China's teaching model, there has been little research on the impact of gender differences on junior high school English learning for students, especially in the process of teaching English in junior high school. This paper takes the causal model as a means of causal analysis, constructs a causal diagram according to the causal relationship of related variables, tests the feasibility of the graph model, and analyzes the causal effect of gender differences in the field of education on the English performance of junior high school students by finding the set of variables that meet the backdoor criterion and using the backdoor path method, so as to let students and teachers understand this phenomenon more objectively and fairly. At the same time, identify the causes of the phenomenon and address the measures to improve it, so as to promote the development and progress of the field of education.
|
参考文献总数: | 23 |
插图总数: | 7 |
插表总数: | 1 |
馆藏号: | 本080901/23052 |
开放日期: | 2024-06-18 |