Proceeding of the 2024 International Conference on Diversified Education and Social Development (DESD 2024)

Research on the Construction of Teacher’s Classroom Speech Portrait in Classroom Based on Mathematical Modeling Based on Deep Learning

Authors
Chengxiu Dong1, 2, Yuanyuan Zuo1, 2, *
1Jinan Preschool Education College, Jinan in Shandong Province, Shandong, Jinan, China
2Jinan Vocational College, Shandong, Jinan, China
*Corresponding author. Email: 461411351@qq.com
Corresponding Author
Yuanyuan Zuo
Available Online 27 December 2024.
DOI
10.2991/978-2-38476-346-7_19How to use a DOI?
Keywords
deep learning; teacher classroom speech; mathematical modelling; classroom speech portrait
Abstract

Teacher’s classroom speech has a significant impact on students’ learning experience and teaching effect, and is the key to connect mathematical knowledge with practical problems. Firstly, the traditional analysis method of teachers’ classroom speech, the application status of deep learning in education, the research progress of teacher portrait and the text classification research based on deep learning are summarized. Then, according to the role function of teacher speech, the classroom speech is divided into eight dimensions, and the convolutional neural network (CNN) and recurrent neural network (RNN) model are used for classification research. By collecting and preprocessing the recorded data of multiple mathematical modeling classes, the classification model based on deep learning and training was researched and trained, and the effectiveness of the model was verified through experiments. Finally, the research also discusses how to use the obtained speech classification data to generate teachers’ classroom speech portrait, and shows the distribution of different teachers’ speech through visual means.

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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Volume Title
Proceeding of the 2024 International Conference on Diversified Education and Social Development (DESD 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
27 December 2024
ISBN
978-2-38476-346-7
ISSN
2352-5398
DOI
10.2991/978-2-38476-346-7_19How to use a DOI?
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.

Cite this article

TY  - CONF
AU  - Chengxiu Dong
AU  - Yuanyuan Zuo
PY  - 2024
DA  - 2024/12/27
TI  - Research on the Construction of Teacher’s Classroom Speech Portrait in Classroom Based on Mathematical Modeling Based on Deep Learning
BT  - Proceeding of the 2024 International Conference on Diversified Education and Social Development (DESD 2024)
PB  - Atlantis Press
SP  - 143
EP  - 154
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-346-7_19
DO  - 10.2991/978-2-38476-346-7_19
ID  - Dong2024
ER  -