| Issue |
ITM Web Conf.
Volume 47, 2022
2022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|
|
|---|---|---|
| Article Number | 02034 | |
| Number of page(s) | 9 | |
| Section | Algorithm Optimization and Application | |
| DOI | https://doi.org/10.1051/itmconf/20224702034 | |
| Published online | 23 June 2022 | |
Research on technical support ability and collaborative planning algorithm in online examination
Shanghai Municipal Educational Examinations Authority, Shanghai, P.R China
* Corresponding author: Lzj@shmeea.edu.cn
Starting from a typical online examination EBMG (Examination Behavior Model Graph), this paper obtains the relationship between the examination effectiveness index and the examinee scale through the probability data of the examiner’s examination response behavior, establishes the optimization model of the hardware structure by using the network maximum flow theory, and finds the relationship between the technical support ability and the examinee scale through the analysis of the model. Based on these two relationships, we find a collaborative planning algorithm, which transforms the relationship between the examinee scale and the technical support ability of the system under the same quality of service into the network flow diagram of online examination, and obtains the best cost-effective path of online examination system through the maximum flow algorithm.
Key words: Collaborative planning algorithm / Examination effectiveness index / Technology support capability / Online examination
© The Authors, published by EDP Sciences, 2022
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