Title: Construction of a web-based mathematical model for blended teaching of English in colleges and universities

Authors: Xuemei Wang

Addresses: School of Foreign Languages, Chongqing College of Humanities, Science and Technology, Chongqing, 401524, China

Abstract: In the context of continuous higher education reform, blended teaching is gradually applied in the teaching of various majors. However, the traditional teaching quality evaluation system is not suitable for the current college English blended teaching mode. Therefore, the research uses BP neural network and GA algorithm to construct two new hybrid teaching quality evaluation methods based on establishing a hybrid teaching quality evaluation system for college English, and verifies them using experiments. The test results showed that the average score of the BP simulation experiment was 88.14, and the average deviation was 5.16. Most of the prediction errors of BP simulation were below 10 points. While the average score of GA-BP simulation experiments is 86.30 with a relative error of 0.04. In the comparison of four different algorithm models, the scores of the genetic algorithm and BSA algorithm remain between 73 and 105, both of which have a lower score than the BP algorithm, but also have an extreme score. Taken together, the GA-BP neural network-based English blended teaching quality assessment model has a lower error and higher assessment accuracy, which is more scientific for the assessment of the actual university English blended teaching quality.

Keywords: university English; mixed learning; evaluation model; index system.

DOI: 10.1504/IJCSYSE.2025.149203

International Journal of Computational Systems Engineering, 2025 Vol.9 No.2/3/4, pp.140 - 148

Received: 23 Apr 2023
Accepted: 11 Jun 2023
Published online: 20 Oct 2025 *

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