Research on Innovative Design of High School Biology Courses Based on Deep Learning

DOI

10.2991/978-2-38476-311-5_5How to use a DOI?

Keywords

deep learning; high school biology course design; teaching effectiveness

Abstract

To explore the application of deep learning algorithms in the design of high school biology courses, this paper studies common models and data preprocessing methods and analyzes the impact of different parameter settings on teaching effectiveness. The results show that optimized deep learning models can significantly enhance the accuracy and interactivity of biology teaching, providing an intelligent and personalized learning experience, thereby effectively improving teaching outcomes.

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  - 2024/12/01
TI  - Research on Innovative Design of High School Biology Courses Based on Deep Learning
BT  - Proceedings of the 2024 4th International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2024)
PB  - Atlantis Press
SP  - 27
EP  - 36
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-311-5_5
DO  - 10.2991/978-2-38476-311-5_5
ID  - Zhao2024
ER  -