An evaluation model of distance learning effect based on MOOC theory Online publication date: Thu, 07-Apr-2022
by Na Liu
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 32, No. 2, 2022
Abstract: In order to overcome the problem of fuzzy data in distance learning effect evaluation, a distance learning effect evaluation model based on MOOC theory is proposed. The vector of original time series and multi bit space analysis is constructed. The minimum embedding dimension of phase space reconstruction is extracted by using the false nearest neighbour algorithm, and the chaotic correlation dimension characteristics of data related to learners' learning are obtained. The input-output MOOC model is used to evaluate the effectiveness of decision-making units, and all decision-making units are arranged in a comprehensive way to realise the effect evaluation of distance learning. The experimental results show that the learning effect score of the designed model is basically consistent with the learning effect score given by the experts in the sample, the approximate error is less than 0.5, the training error is about 0.02, and the accuracy of the model reaches 90%.
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