Title: Optimisation strategy of college English teaching during the epidemic period: taking MOOC resources expressed by interactive features as an example

Authors: Jie Yang

Addresses: School of Foreign Languages, Hainan Tropical Ocean University, Sanya, 572000, China

Abstract: The change in epidemic prevention and control situation and rapid development of the internet have promoted the online teaching activity platform based on massive open online courses (MOOC) resources develop greatly. The richness of MOOC resources makes redundant information difficult to eliminate. This paper proposes a MOOCrec model based on the research of constructing heterogeneous information network with meta paths in MOOC resources, adding a multi-head attention mechanism, and considering users' long-term and short-term interest preferences. Through performance test and application analysis of the model, it is found that project click value of the model is more than 0.7, the indicator performance is better than other comparison algorithms, and its interest coverage diversity value is 0.461. MAE value and RMSE value decrease more obviously, and the information extraction of the incidence matrix is more obvious, which reduces the data loss and the dissatisfaction of teachers and students with the teaching resource platform.

Keywords: English teaching; optimisation strategy; interaction characteristics; MOOC; massive open online courses; interest preference; incidence matrix; HR; sequence information.

DOI: 10.1504/IJKBD.2023.133331

International Journal of Knowledge-Based Development, 2023 Vol.13 No.2/3/4, pp.294 - 310

Received: 20 Dec 2022
Accepted: 01 Feb 2023
Published online: 12 Sep 2023 *

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