Design of Classroom Intelligent Feedback System Based on Deep Learning

DOI

10.2991/assehr.k.201023.082How to use a DOI?

Keywords

educational informatization, deep learning, classroom status, sentiment analysis

Abstract

With the advancement of education informatization, artificial intelligence technology has injected new vitality to improve teaching quality. Under the current traditional classroom pattern, teachers pay more attention to students’ knowledge mastery level, academic performance and other cognitive achievements instead of learning emotional state, which is not conducive to stimulate students’ learning motivation and improve teaching efficiency fundamentally. In this regard, this paper puts forward the classroom intelligent feedback system based on deep learning. Artificial intelligence technology is used to calculate and analyze students’ facial expression and behavior posture, and combined with the analysis of teaching evaluation model, teachers are able to get feedback from the students’ classroom learning status in real time, which provides a feasible solution for the fine-grained process evaluation.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Gong Yayun
AU  - Tang Xiaoyu
PY  - 2020
DA  - 2020/11/06
TI  - Design of Classroom Intelligent Feedback System Based on Deep Learning
BT  - Proceedings of the 2020 5th International Conference on Modern Management and Education Technology (MMET 2020)
PB  - Atlantis Press
SP  - 404
EP  - 408
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201023.082
DO  - 10.2991/assehr.k.201023.082
ID  - Yayun2020
ER  -