A balanced allocation of network teaching resources in higher vocational colleges based on demand prediction Online publication date: Sun, 03-Dec-2023
by Yuanyuan Kong; Yunxia Li; Yang Liu
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 34, No. 1, 2024
Abstract: Because the traditional teaching resource allocation method has the problems of low accuracy of resource demand prediction and low balance of resource allocation, this paper studies a new balanced allocation method based on demand prediction. The data of network teaching resources are collected, and the nonlinear demand prediction model of network teaching resources is constructed by using the principle of time series. Based on the output results of the demand prediction model, the resource surplus in the network teaching resource allocation node is obtained, the dynamic weight results of network teaching resources are calculated, and the balanced allocation function of teaching resources is constructed. The experimental results show that this research can achieve the accurate prediction of the demand for teaching resources, and improve the balance of resource allocation, with the distribution balance parameter reaching 0.98.
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