基于深度学习的学生课程学习状态智能分类方法  

Intelligent classification method of student course learning states based on deep learning

作　　者：程雅琼[1] 赵治斌 冯黎 Cheng Yaqiong;Zhao Zhibin;Feng Li(Department of Electronic Information Engineering,Lanzhou Vocational and Technical College,Lanzhou 730070,China)

机构地区：[1]兰州职业技术学院电子信息工程系,甘肃兰州730070

出　　处：《无线互联科技》2024年第10期69-71,共3页Wireless Internet Technology

基　　金：2023兰州职业技术学院院级科研项目;项目名称:如何提升高职计算机课堂效率的研究——以工单课堂的应用为例;项目编号:2023XY-27。

摘　　要：常规的学生课程学习状态智能分类方法在进行分类时,其分类规则不明确,进而造成分类的敏捷度较低。文章提出了基于深度学习的学生课程学习状态智能分类方法。首先,该方法将学生课程学习状态进行离散化处理;然后,利用深度学习技术,构建学习状态智能分类规则;最后,对学生课程学习状态智能分类进行判定。通过设计对比实验,实验结果证明了该方法的分类准入数更高,所提方法能够在实际应用中发挥更高的价值。The conventional intelligent classification methods for student course learning states have unclear classification rules,resulting in low agility in classification.The intelligent classification method of student course learning states based on deep learning is proposed in this paper.Firstly,this method discretizes the student course learning states.Then,the deep learning technology is used to construct the intelligent classification rule of learning states.Finally,the intelligent classification of student course learning state is determined.By designing the comparative experiments,the experimental results prove that the proposed method has a higher classification access number and can play a higher value in practical application.

关 键 词：深度学习 学生课程 学习状态 智能分类 

分 类 号：G642[文化科学—高等教育学]