Research on the Optimization of High School Biology Education Management System Based on Deep Learning

DOI

10.2991/978-2-38476-297-2_14How to use a DOI?

Keywords

deep learning; high school biology; education management system

Abstract

In order to improve the efficiency and quality of the high school biology education management system, this paper studies the application of deep learning technology in education data analysis. By collecting and processing big data, course content and personalized teaching are optimized, and automated management tasks reduce the burden on teachers. The results show that the system significantly improves the accuracy and efficiency of teaching and management, promoting the intelligent and refined development of education.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jingtong Zhao
PY  - 2024
DA  - 2024/10/31
TI  - Research on the Optimization of High School Biology Education Management System Based on Deep Learning
BT  - Proceedings of the 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024)
PB  - Atlantis Press
SP  - 107
EP  - 116
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-297-2_14
DO  - 10.2991/978-2-38476-297-2_14
ID  - Zhao2024
ER  -