@inproceedings{4a399339da08445f9045a89521bef83d,
title = "Design of cloud learning work order system for software workshop application",
abstract = "In the exploration and practice of talent training mode of craftsman workshop, management is an important part, and supervising and checking the learning progress and knowledge mastery of students is an important part of management; in the cloud era of rapid development of information technology, applying cloud computing to the management of craftsman workshop is not only the embodiment of keeping pace with the times, but also a very effective and efficient management means. Based on this, this paper designs a cloud learning work order system for craftsman workshop management, and then implements it.",
keywords = "Cloud learning, Craftsman workshop, System design, Work order",
author = "Xue Xianwei and Peng Xiangyan and Guo Haitao and Qin Jilin and Wang Aihua",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021 ; Conference date: 26-03-2021 Through 28-03-2021",
year = "2021",
month = mar,
doi = "10.1109/AEMCSE51986.2021.00188",
language = "English",
series = "Proceedings - 2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "925--928",
booktitle = "Proceedings - 2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021",
address = "United States",
}