The recommendation method for distance learning resources of college English under the MOOC education mode Online publication date: Thu, 07-Apr-2022
by Hongxin Yin
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 32, No. 2, 2022
Abstract: In view of the low efficiency and low accuracy of the traditional recommendation method for college English distance learning resources, a new recommendation method for college English distance learning resources under the MOOC education model is proposed. The metadata set of distance learning resources was extracted, and the metadata set was used as the data support of the learning recommendation model. The review matrix method was used to establish the interest evaluation matrix and the user interest feedback model, and the interest feedback model was used to optimise the recommendation algorithm, so as to realise the recommendation of distance learning resources in the MOOC education model. The experimental results verify that the proposed method is more efficient than the traditional method and has higher recommendation accuracy, which provides a scientific basis for the recommendation method of distance learning resources.
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