Digital course scheduling system for data-driven industrial worker training based on 5G enabling environment
5G wisdom on the basis of digital campus, campus under the effective use of 5G technology of Internet of things, cloud computing, big data and other advanced information engineering to carry out a full range of campus construction, promoting the scientific decision-making, build open teaching environment, good for all the teachers and students to provide more convenient and comfortable place to live, work, study<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup>. This article mainly around college students online course management system implementation technology selection, system requirements, database design and so on carries on the analysis, thus the college students' course selection management system based on B/S structure, B/S architecture to implement development, convenient maintenance, and to implement low cost price, so as to achieve high efficiency low cost development, the main functional modules of the system are: Student and teacher information management, user rights control, course management, classroom management, class management, course selection management, class withdrawal, course selection statistics management, students, teachers and school administrators only need to click on the browser to access the system can carry out the corresponding course selection and system management and maintenance, Java programming language and popular frameworks such as Spring Boot, Bootstrap and some Ajax technologies are selected to achieve the smoothness of data interaction at the front and back end of the system. With the advent of the Internet era, the birth of Internet +<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</sup>, which can be added to a large number, gradually adds every bit of life, there is no doubt that education has always been a hot issue in the world.
Authors
- Yuzhong Chen (ORCID: https://orcid.org/0000-0002-5930-3490)
- Yue Zhong
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/aidlnn65358.2024.00033
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.00