Multi-dimensional dynamic evaluation of MOOC English mixed teaching based on BP neural network
by Mian Wang
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 33, No. 4/5, 2023

Abstract: In order to overcome the problem of low accuracy in current evaluation methods of MOOC English mixed teaching, this paper proposes a multi-dimensional dynamic evaluation method based on BP neural network. By collecting evaluation data from teaching experts, teachers and students, the basic dataset of English teaching evaluation is constructed. The data from the evaluation basic dataset were taken as input samples, and the input samples were normalised. The input samples were input into the constructed BP neural network evaluation model, and the multi-dimensional dynamic evaluation results of MOOC mixed English teaching were output. Experimental results show that the evaluation accuracy of the proposed method is more than 90%, and the convergence can be achieved only about 50 times; the convergence speed is faster, and the evaluation time is shorter.

Online publication date: Wed, 19-Jul-2023

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