Applied Artificial Intelligence (Dec 2023)
Analysis of Mixed English Teaching Model based on Rasch Model and Construction of DE-FAHP-based Comprehensive Weight Quantization Model
Abstract
The development of information-based management education necessitates English teachers to utilize a combination of online and offline educational resources. This article focuses on the implementation of a mixed English teaching mode based on the rush entity model, which emphasizes online teaching resources and aids in the dissemination and internalization of professional knowledge. The study delves into the background of this teaching mode, reviews previous research on its application, and examines its global adoption. Furthermore, the article defines mixed English teaching and introduces the theory of Intelligent caching for communication and security in smart grid networks. Through a comprehensive analysis of the rush entity model, the article evaluates teaching quality, students’ mastery, test difficulty, and overall satisfaction rates from the perspectives of both teachers and students. The findings provide valuable insights into the effectiveness of mixed English teaching based on the rush entity model.