Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)

Design and Implementation of Teaching Case Database Based on Web

Authors
Mei Ai, Jianping Sun
Corresponding Author
Jianping Sun
Available Online October 2019.
DOI
10.2991/mbdasm-19.2019.38How to use a DOI?
Keywords
teaching case database; web technology; mysql database
Abstract

With the rapid development of Internet technology and computer technology, classroom teaching is gradually moving towards informationization and networking. One of the popular and effective teaching methods is case teaching. However, the scattered cases are not conducive to further study for students after class. In this paper, a Web-based teaching case data system is designed and presented. Firstly, the front-end and back-end software technologies needed to construct the teaching case base system are introduced. Secondly, the system functions and the overall structure are analyzed and designed. Finally, the results show that the system has practical value for improving the teaching effect of the case base.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
Series
Advances in Computer Science Research
Publication Date
October 2019
ISBN
10.2991/mbdasm-19.2019.38
ISSN
2352-538X
DOI
10.2991/mbdasm-19.2019.38How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mei Ai
AU  - Jianping Sun
PY  - 2019/10
DA  - 2019/10
TI  - Design and Implementation of Teaching Case Database Based on Web
BT  - Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
PB  - Atlantis Press
SP  - 166
EP  - 169
SN  - 2352-538X
UR  - https://doi.org/10.2991/mbdasm-19.2019.38
DO  - 10.2991/mbdasm-19.2019.38
ID  - Ai2019/10
ER  -