Title: Multi-dimensional dynamic evaluation of MOOC English mixed teaching based on BP neural network

Authors: Mian Wang

Addresses: Department of Foreign Language and International Education, Henan Polytechnic Institute, Nanyang 473000, China

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.

Keywords: BP neural network; MOOC English teaching; multi-dimensional dynamic evaluation; Basic dataset.

DOI: 10.1504/IJCEELL.2023.132394

International Journal of Continuing Engineering Education and Life-Long Learning, 2023 Vol.33 No.4/5, pp.351 - 363

Received: 22 Mar 2021
Accepted: 19 Jun 2021
Published online: 19 Jul 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article