摘要
针对“应用时间序列分析”存在的师资不足、网络资源匮乏、学生思想上不重视、实践不足、学生被动学习、数据库陈旧、思政元素过少等现有问题,从扩充师资、更新数据库、增加应用部分、增强学生主体意识、加强思政教育等方面提出相应的改进措施。
In view of the existing problems of“Applied Time Series Analysis”,such as lack of teachers,lack of network resources,students’lack of ideological attention,insufficient practice,students’passive learning,outdated database,and too few ideological and political elements,this study corrects students’ideological consciousness,increases the application part,and enhances students’subjective consciousness by expanding teachers,recording courses online,and improving students’ideological consciousness.Some corresponding improvement measures are put forward in the aspects of updating database and strengthening ideological and political education.
作者
郭丽敏
李成
冯艳青
GUO Limin;LI Cheng;FENG Yanqing(School of Science,Changzhou Institute of Technology,Changzhou 213032,China;School of Automotive Engineering,Changzhou Institute of Technology,Changzhou 213032,China)
出处
《常州工学院学报》
2025年第2期100-104,共5页
Journal of Changzhou Institute of Technology
基金
常州工学院教学建设项目“‘互联网+教育’《应用时间序列分析》课程教学新模式的理论与实践探索”(JGKT2023-35)。
关键词
应用时间序列分析
教学改革
人工智能
思政教育
互联网
Applied Time Series Analysis
teaching reform
artificial intelligence
ideological and political education
Internet
作者简介
郭丽敏(1981-),女,河南濮阳人,博士,副教授,guolm@czu.cn,主要研究方向为分数阶微分方程解的结构及控制系统稳定性。
