Affiliation:
1. School of Foreign Languages, Sichuan Technology and Business University, Meishan 620000, China
2. Foreign Language School of Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
Abstract
British and American literature is a compulsory course for English majors in Chinese colleges and universities. It plays an important role in cultivating students’ aesthetic consciousness and moral cultivation, improving students’ humanistic quality and cultural taste, and shaping students’ complete personalities. With the rapid development of cloud technology and mobile Internet technology, mobile learning based on mobile devices will become an important direction of mobile Internet technology applications. Based on cloud computing, this paper studies the construction of digital teaching resources of the British and American literature. Through the experiment on the learning simplicity of literature courses for English majors, it is found that during the learning period of 40 people, the average proportion of the most difficult is 16.3%, the average proportion of the second difficult is 35.2%, and the average proportion of the easier is 18.5%. Compared with the next difficulty, the proportion of difficulty is the highest, followed by the easy and finally the most difficult. As one of the core technologies of cloud computing, data split storage technology adopts measures such as isomorphism and interchangeability of computing nodes, redundant storage, and multicopy fault tolerance to ensure the high security and reliability of user data and users do not have to worry about data loss and virus invasion. As a new generation of technical means, cloud computing can realize the unified management and scheduling of distributed and heterogeneous resources and provide a new development direction for promoting the coconstruction and sharing of the British and American literature digital teaching platforms in higher vocational colleges and truly realizing national learning and lifelong learning.
Funder
2020 Ideological Education Team
Subject
General Mathematics,General Medicine,General Neuroscience,General Computer Science