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基于深度学习的高校智能课堂教学监控评估模型设计

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随着高校教育的不断发展,教学质量的评估和监控变得愈发重要.为实现对课堂教学全过程的多维度评估,文章设计了基于深度学习的高校智能课堂教学监控评估模型.该模型采用卷积神经网络(Convolutional Neural Networks,CNN)处理视频数据,提取空间特征,并通过循环神经网络(Recurrent Neural Networks,RNN)处理声音数据,捕捉时间序列信息.
Design of Intelligent Classroom Teaching Monitoring and Evaluation Model Based on Deep Learning
With the continuous development of higher education,the evaluation and monitoring of teaching quality have become increasingly important.To achieve multidimensional evaluation of the entire process of classroom teaching,the article designs a monitoring and evaluation model for intelligent classroom teaching in universities based on deep learning.This model uses Convolutional Neural Networks(CNN)to process video data,extract spatial features,and process sound data through Recurrent Neural Networks(RNN)to capture time series information.

deep learningintelligent classrooms in universitiesteaching monitoringevaluation model

朱家婧

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南京工程学院,江苏南京 211167

深度学习 高校智能课堂 教学监控 评估模型

2024

信息与电脑
北京电子控股有限责任公司

信息与电脑

影响因子:1.143
ISSN:1003-9767
年,卷(期):2024.36(6)