The Collection of Teaching Data based on the Cooperation of Multiple Deep Learning Models

Guanghao Jin; Hui Du; Lei Ma; Yuqing Wang; Yunhai Wang; Qingzeng Song

doi:10.2991/978-2-38476-497-6_26

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The Collection of Teaching Data based on the Cooperation of Multiple Deep Learning Models

Authors

Guanghao Jin¹, Hui Du¹, Lei Ma¹, Yuqing Wang², Yunhai Wang³, Qingzeng Song²^{, *}

¹School of Artificial Intelligence, Beijing Polytechnic University, Beijing, China

²School of Computer Science and Technology, Tiangong University, Tianjin, China

³iFLYTEK, Beijing, China

^*Corresponding author. Email: qingzengsong@tiangong.edu.cn

Corresponding Author

Qingzeng Song

Available Online 15 December 2025.

DOI: 10.2991/978-2-38476-497-6_26 How to use a DOI?
Keywords: Teaching data; Teaching mode; Cooperation of multiple Deep learning models
Abstract: This paper introduces the collection of teaching data by multiple deep learning models. Our method uses different kinds of deep learning models for the teaching data classification, which is important to the construction of the teaching mode. Furthermore, the tuning of teaching mode is also the key for the utilization of the deep learning models. We evaluated our method on some public datasets as the baseline, and then we apply our method to the collection of teaching data to prove the scalability.
Copyright: © 2025 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: Proceedings of the 2025 International Conference on Educational Innovation and Information Technology (EIIT 2025)
Series: Advances in Social Science, Education and Humanities Research
Publication Date: 15 December 2025
ISBN: 978-2-38476-497-6
ISSN: 2352-5398
DOI: 10.2991/978-2-38476-497-6_26 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Guanghao Jin
AU  - Hui Du
AU  - Lei Ma
AU  - Yuqing Wang
AU  - Yunhai Wang
AU  - Qingzeng Song
PY  - 2025
DA  - 2025/12/15
TI  - The Collection of Teaching Data based on the Cooperation of Multiple Deep Learning Models
BT  - Proceedings of the 2025 International Conference on Educational Innovation and Information Technology (EIIT 2025)
PB  - Atlantis Press
SP  - 258
EP  - 266
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-497-6_26
DO  - 10.2991/978-2-38476-497-6_26
ID  - Jin2025
ER  -

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