Study on recommendation method of high quality MOOC English teaching resources based on fuzzy clustering Online publication date: Mon, 31-Oct-2022
by Zhongping Yao; Xiao Zheng
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 14, No. 4, 2022
Abstract: In order to improve the mining and recommendation accuracy of high-quality teaching resources, a new recommendation method of high quality teaching resources is developed according to fuzzy clustering algorithm. Firstly, fuzzy clustering method is used to mine high quality MOOC English teaching resources to improve the effectiveness and accuracy of mining. Secondly, it analyses the main factors affecting learners' learning preferences and constructs a teaching resource recommendation model. Finally, the linear weighting method is used to construct the recommended objective function, and the constraints of the function are set. The recommendation can be realised by solving the function under relevant constraints. The experimental results show that compared with the traditional recommendation methods, the resource mining accuracy of this method is higher, and the recommendation accuracy is higher, which is always maintained at more than 97%.
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