Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 550-554.

• Interdiscipline & Application • Previous Articles     Next Articles

Design and Research on Intelligent Teaching System Based on Deep Learning

CHEN Jin-yin, WANG Zhen, CHEN Jin-yu, CHEN Zhi-qing, ZHEN Hai-bin   

  1. College of Information Engineering,Zhejiang University of Technology,Hangzhou 310000,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: With the rapid development of deep learning,its application in education has gradually received attention.This paper introduced an intelligent teaching system based on deep learning that includes online personal learning behavior recommendation and offline bidirectional evaluation of the class quality.In the online system,based on deep lear-ning,grades prediction and online learning behavior analysis are achieved,and the image processing technology is combined to achieve learning emotion classification.In the offline system,the target detection model,face detection model and face segmentation model are trained,and the online system is combined to achieve online learning behavior feature extraction,offline grades prediction,learning regularity analysis and personal learning recommendation.The experimental results show that this system not only facilitates the access to information,but also reduces the time cost,which effectively improves the teaching efficiency of teachers and the learning efficiency of students.

Key words: Bidirectional eva-luation, Deep learning, Face recognition, Intelligent course, Personalized learning recommendation

CLC Number: 

  • TP319
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