摘要
在2020年特殊时期,大中小学的学生们均在家进行自主学习。这个过程中,良好的学习习惯和自律程度对学习效果有极大的影响。笔者通过为工科大三和大四本科学生开设的《科技文献导读和科技论文写作》课程中增加每日英语听读打卡学习的方式,收集了学生在2020年3月和4月两个月学生学习打卡情况,采用机器学习的方法预测学生自觉学习的可能性。该研究发现,老师的督促、学生的学习兴趣、学生的自律程度对自主学习影响极为明显。
In the special period of 2020,students in elementary school,middle schools and universities have to stay at home and implement self-directed studies.In this process,good study habits and self-discipline have a great influence on the learning effect.In the"Literature Review and Scientific Paper Writing"course,the authors requested junior and senior students to practice listening and reading English every day,and analyzed the learning habit in the March and April of 2020.Then,they used machine learning method to predict the possibility of students conscious learning.It is found that teacher supervision,English learning interest and self-discipline of students have the most significant impacts on self-regulated learning process.
基金
北京航空航天大学2018年校教学改革项目“探索适合本科生参与科研的方法与实践研究”
关键词
自律
机器学习
英语
工科本科生
Self-discipline
machine learning
English
engineering undergraduates
