Research Article
Design of Intelligent Accounting Education System Based on Data Processing Technology
@INPROCEEDINGS{10.1007/978-3-031-21161-4_30, author={Yuchan Luo}, title={Design of Intelligent Accounting Education System Based on Data Processing Technology}, proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I}, proceedings_a={ELEOT}, year={2023}, month={3}, keywords={Data processing technology Accounting education system Data cleaning Classroom condition monitoring}, doi={10.1007/978-3-031-21161-4_30} }- Yuchan Luo
Year: 2023
Design of Intelligent Accounting Education System Based on Data Processing Technology
ELEOT
Springer
DOI: 10.1007/978-3-031-21161-4_30
Abstract
The intelligent education system contains a large number of access data and course data, resulting in high load. In order to optimize the response performance of the system, an intelligent accounting education system based on data processing technology is designed. The system is composed of several modules. The main function of the student information management module is to let the administrator have enough operation space to add and delete the student table. The classroom attendance module is used for students’ daily classroom attendance. After the user logs in to the system, the system will judge the user’s role. The data preprocessing module is designed based on data processing technology. Data preprocessing is realized through data cleaning, data normalization and data smoothing. The classroom state monitoring module is used to monitor students’ classroom state during class and make timely early warning. The network lesson preparation and class module can implement the whole classroom teaching process in stages to help students preview before class. The financial knowledge discovery module can realize the mining of financial knowledge. In the run configuration module, configure the hardware for the server and client respectively. The test results show that the user load, operation response load and data load of the system are high, indicating that the system meets the design requirements.
