基于卷积神经网络的学生课堂参与度评价系统设计  

Design of Student Class Participation Evaluation System Based on Convolutional Neural Network

作　　者：聂文芳 NIE Wenfang(Nanchang Normal College of Applied Technology,Nanchang Jiangxi 330108,China)

机构地区：[1]南昌应用技术师范学院,江西南昌330108

出　　处：《信息与电脑》2022年第5期79-81,共3页Information & Computer

基　　金：江西省教育厅科技课题“基于卷积神经网络的学生课堂参与度模型研究”(项目编号:GJJ181588)。

摘　　要：学生课堂参与度对学生学习效果有重要作用,传统的教学方法无法准确识别每个学生的课堂参与状态。因此,本文基于卷积神经网络设计了学生课堂参与度评价系统。硬件部分设计ARM微处理器、S3C4510B控制器以及S3C4510B管理器;软件部分首先采集学生课堂参与度评价数据,其次基于卷积神经网络提取学生课堂参与度评价特征,最后设计学生课堂参与度评价功能模块,实现了学生课堂参与度评价。系统测试结果表明,设计的学生课堂参与度评价系统的评价效果较好,具有一定的应用价值。Students’ classroom participation plays an important role in students’ learning effect. Traditional teaching methods cannot accurately identify the classroom participation status of each student. Therefore, an evaluation system for students’ classroom participation is designed based on convolutional neural networks. The hardware part is designed with ARM microprocessor, S3C4510B controller and S3C4510B manager, the software part first collects the evaluation data of students’ classroom participation, and then extracts the evaluation features of students’ classroom participation based on convolutional neural network. Evaluation. The system test results show that the designed evaluation system for students’ classroom participation has a good evaluation effect and has certain application value.

关 键 词：卷积神经网络 课堂参与度 ARM微处理器 

分 类 号：G712[文化科学—职业技术教育学]