Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

Deep Learning Oriented “Large Unit” Teaching Study: Model Construction and Case Studies

Authors
Binghui Wan1, Ying Yang1, *
1School of Information, Yunnan Normal University, Kunming, China
*Corresponding author. Email: yn9856@126.com
Corresponding Author
Ying Yang
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_96How to use a DOI?
Keywords
Large unit teaching; Deep learning; Core literacy
Abstract

The educational changes in the 21st century require the cultivation of learners with lifelong learning ability, innovation spirit and problem-solving ability, while the above-mentioned ability and thinking development require deep learning as a means. The article analyzes the inner logic connection between deep learning and large-unit teaching design, and from the connotation of large-unit teaching design, it designs a large-unit teaching model oriented to deep learning, which provides a practical path for the implementation of core literacy; at the same time, it takes the U.S. “Mars Education Project” as an example for in-depth analysis, and explores the practical ways of integrating deep learning and specific. It also provides reference for teachers to carry out large-unit teaching.

Copyright
© 2023 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 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_96How to use a DOI?
Copyright
© 2023 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  - Binghui Wan
AU  - Ying Yang
PY  - 2023
DA  - 2023/06/30
TI  - Deep Learning Oriented “Large Unit” Teaching Study: Model Construction and Case Studies
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 913
EP  - 920
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_96
DO  - 10.2991/978-94-6463-172-2_96
ID  - Wan2023
ER  -