摘要
近年来,随着线上教学的不断发展,高校课程呈现多元化趋势,计算机可以起到很好的分析效果。以南京农业大学信息管理学院管理与工程相关专业学生为例,建立能够反映学生的学习成效和教学情况的观测变量,使用结构方程模型(SEM)建立线上学习路径,并通过GA-BP神经网络算法、MATLAB软件对相关数据进行拟合分析,得出线上学习最优路径,提出移动互联网络下大学生最高效学习模式及方案。
In recent years,with the continuous development of online teaching,college courses show a diversified trend,and computers can play a very good analysis effect.Taking students majoring in management and engineering in College of Information Management of Nanjing Agricultural University as an example,observational variables that can reflect students'learning effectiveness and teaching situation are established,and an online learning path is established using SEM.In addition,through GA-BP neural network algorithm and MATLAB software,this paper fits and analyzes the relevant data to obtain the optimal path of online learning,and proposes the most efficient learning mode and scheme of college students under mobile Internet network.
作者
李思橦
刘禹函
徐思
何利洋
赵吉坤
LI Sitong;LIU Yuhan;XU Si;HE Liyang;ZHAO Jikun(College of Information Management,Nanjing Agricultural University,Nanjing 210031,China)
出处
《现代信息科技》
2024年第21期181-189,共9页
Modern Information Technology
