Title: A teaching evaluation method of English online course based on conscious normal cloud model

Authors: Mian Wang

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

Abstract: Because the traditional English online course teaching evaluation method does not consider the characteristics of cloud numbers, the evaluation weight is low, the result accuracy is not high, and the evaluation time is too long. Therefore, the paper proposes an English online course teaching evaluation method based on the self-conscious normal cloud model. First, analyse the cloud digital features of the conscious normal cloud, and obtain the cloud digital feature distribution of the course evaluation on the basis of determining the weight of the course teaching evaluation. Then, determine the specific input value x and the expected value Ex of the English online course. Finally, calculate the degree of certainty of course teaching evaluation to construct a conscious normal comprehensive evaluation cloud model to realise the comprehensive evaluation of English online course teaching. The experimental results show that the proposed method can effectively improve the evaluation effect of English online course teaching. The accuracy of teaching evaluation can reach 98%, and the evaluation time of each index does not exceed 1 s. It can be seen that the proposed method has certain value and significance.

Keywords: conscious normal cloud model; teaching evaluation weight; expected value; certainty; English online course.

DOI: 10.1504/IJCEELL.2023.129235

International Journal of Continuing Engineering Education and Life-Long Learning, 2023 Vol.33 No.2/3, pp.203 - 216

Received: 04 Mar 2021
Accepted: 31 May 2021
Published online: 01 Mar 2023 *

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