Abstract
In order to improve the classification and sharing performance of teaching resources, an automatic classification and sharing method of teaching resources in online English teaching system based on SVM is proposed. According to learners’ demands for teaching resources, the tasks and objectives of online English teaching are determined, and the content performance characteristics of teaching resources are given through the digital integration of teaching resources in the online English teaching system. Based on learners’ internal psychological activity process and cognitive rules, a feature extraction model of teaching resources is constructed to extract the features of English teaching resources. According to the optimal classification plane of support vector machine, the nonlinear classification problem of teaching resource features is transformed into a quadratic optimization problem, and the Gaussian kernel function is selected as the kernel function of support vector machine to classify the features of English teaching resources. By calculating the weighted vector of English teaching resources, English teaching resources are cleaned, and the continuous sliding window distance of English teaching resources attribute compression is given by using attribute compression. Combined with the spatial trajectory function of quantitative coding, the characteristics of English teaching resources are quantified and coded. Combined with the design of teaching resource sharing algorithm, the automatic classification and sharing of teaching resources in online English teaching system is realized. The experimental results show that the proposed method can improve the utilization rate of teaching resources, reduce the sharing delay and improve the classification and sharing performance of teaching resources, no matter with or without manual intervention. Therefore, it shows that this method can improve the classification and sharing effectiveness of English teaching resources.
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Zhao, D., Dong, H. (2024). Automatic Classification and Sharing of Teaching Resources in English Online Teaching System Based on SVM. In: Gui, G., Li, Y., Lin, Y. (eds) e-Learning, e-Education, and Online Training. eLEOT 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-031-51468-5_16
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DOI: https://doi.org/10.1007/978-3-031-51468-5_16
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