基于社会网络结构分析的自主学习行为与学习成绩的相关性研究

Research on the Correlation between Autonomous Learning Behavior and Academic Performance Based on Social Network Structure Analysis

摘要: 本文通过学习平台收集学生自主学习行为数据，运用社会网络分析方法，深入分析学生学习成绩与学习互动行为之间的内在联系，揭示日常教学中学习互动行为对学生成绩的影响，从而为任课教师和教学管理部门制定更为完善、针对性的在线学习管理制度提供数据支撑和理论依据。

Abstract: This paper collects students’ autonomous learning behavior data through a learning platform, applies social network analysis methods, and deeply analyzes the intrinsic connection between students’ academic performance and learning interactive behaviors. It reveals the impact of learning interactive behaviors on students’ grades in daily teaching, thereby providing data support and theoretical basis for teachers and teaching management departments to formulate more comprehensive and targeted online learning management systems.