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2021 | OriginalPaper | Chapter

Analysis of PBL Teaching Design for Deep Learning

Authors : Yue Sun, Zhihong Li, Yong Wei

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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Abstract

This paper discusses deep learning oriented PBL teaching design from the aspects of innovation of PBL teaching method, promotion of characteristic courses, integration of interdisciplinary content to form course resource and exerting the advantages of information technology application.

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Literature
1.
Mei, W.: Design of chemistry teaching to promote students deep learning—taking the teaching of calculation of relative molecular mass as an example. Middle Sch. Teach. Reference 32, 57–59 (2018). (in Chinese)
2.
Cheng, C.: Research on the optimization of classroom teaching design based on deep learning—take the properties of particles as an example. Good Parents 13, 172–172 (2018). (in Chinese)
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Meng, Y.: Teaching design for in-depth learning—horizontal projectile motion teaching cases. Middle Sch. Phys. 3, 32–34 (2019). (in Chinese)
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Yang, Z.: The design and implementation of flipped classroom teaching directed to deep learning. Phys. Bull. 38(9), 39–43 (2019). (in Chinese)
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Qiang, L.: Teaching design of layer mask based on deep learning in flipped classroom. Comput. Knowl. Technol. Acad. Ed. 7, 120–121 (2019). (in Chinese)
6.
Zhou, X.: Teaching design of genetic engineering review from the perspective of deep learning. Coll. Entrance Examination 9, 26–26 (2019). (in Chinese)
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Liu, G., Chen, L., Li, Y.: A review of overseas project-based learning teaching model. High. Architect. Educ. 4, 44–50 (2014). (in Chinese)
Metadata
Title
Analysis of PBL Teaching Design for Deep Learning
Authors
Yue Sun
Zhihong Li
Yong Wei
Copyright Year
2021
Publisher
Springer Singapore
Book
Big Data Analytics for Cyber-Physical System in Smart City

Print ISBN: 978-981-334-573-7

Electronic ISBN: 978-981-334-572-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4572-0_193

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