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基于深度学习的学生课程学习状态智能分类方法

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

deep learningstudent curriculumlearning statusintelligent classification

程雅琼、赵治斌、冯黎

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兰州职业技术学院 电子信息工程系,甘肃 兰州 730070

深度学习 学生课程 学习状态 智能分类

兰州职业技术学院院级科研项目(2023)

2023XY-27

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(10)