大学生英语学习行为数据分析与个性化教学研究

Data Analysis and Individualized Teaching of College Students’English Learning Behavior

为探讨大学生英语学习行为数据分析与个性化教学的关系,采用描述性统计分析、Pearson相关性分析及CRITIC法,深入研究学习动机、学习方法、学习时间分配、挫折应对及个性化需求五个维度间的联系与权重分配。研究发现,五个维度的数据在描述性统计分析中表现出高度一致性与稳定性,为后续数据分析提供了坚实基础。相关性分析显示这些维度间存在显著的正相关关系。CRITIC法的分析结果强调了学习动机的重要性,个性化需求的权重紧随其后,挫折应对、学习方法及时间分配也在不同程度上影响个性化教学需求。据此,提出推动个性化教学,提升学习动机,推进学习方法多样化,加强挫折应对支持与学习时间管理等建议,以期为为实现个性化教学与提升学生的学习效果提供参考。

In order to explore the relationship between data analysis of college students’English learning behavior and personalized teaching,descriptive statistical analysis,Pearson correlation analysis and CRITIC method are used to deeply study the relationship among learning motivation,learning methods,learning time allocation,frustration coping and personalized needs,and weight allocation.Correlation analysis shows that there is significant positive correlation among these dimensions.The analysis results of CRITIC method emphasize the importance of learning motivation.The weight of personalized needs,frustration coping,learning methods and time allocation also affect personalized teaching needs to different degrees.Based on this,suggestions are put forward to promote personalized teaching,improve learning motivation,promote the diversification of learning methods,and strengthen frustration coping support and study time management,so as to provide reference for realizing personalized teaching and improving students’learning effect.