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Intelligent education evaluation mechanism on ideology and politics with 5G: PSO-driven edge computing approach

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Abstract

Ideological and political courses have received little attention from students, and some students believe that ideological and political courses are incredibly uninteresting, resulting in the evaluation of ideological and political education that cannot be carried out effectively. Evaluating such education is of extreme significance in advancing the scientification of ideological and political education. Speaking of scientification, the advancement of 5G technology has sparked a surge in intelligent terminal devices and the emergence of online education, which applies to ideological and political education. However, traditional networks cannot provide enough bandwidth support for online ideological and political education due to the explosive development of mobile data traffic. Fortunately, the emergence of edge computing effectively solves this issue. Therefore, in this paper, we jointly make offloading and assisted cache decisions in 5G-oriented edge computing scenarios and formulate the optimization problem as minimizing the worst-case energy consumption of users to ensure the fairness of task processing. Additionally, particle swarm optimization is proposed to solve the minimization problem for the minimization problem. The experimental results show that the proposed scheme has a good performance in energy consumption compared with the three baselines, and it has achieved a high quality of experience. Most strikingly, the proposed scheme optimizes students' energy consumption and latency using terminals, provides good support for online teaching, and lays a foundation for teaching evaluation.

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Data availability

The data used to support the findings of this study is available from the corresponding author upon the reasonable request.

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  1. Henan Institute of Technology, Xinxiang, 453003, China

    Rui Ma & Xuefeng Chen

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  1. Rui Ma
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  2. Xuefeng Chen
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Correspondence to Rui Ma.

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Ma, R., Chen, X. Intelligent education evaluation mechanism on ideology and politics with 5G: PSO-driven edge computing approach. Wireless Netw 29, 685–696 (2023). https://doi.org/10.1007/s11276-022-03155-x

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