College English cross-cultural teaching based on cloud computing MOOC platform and artificial intelligence

2020 ◽  
pp. 1-11
Author(s):  
Xie Huiying ◽  
Mai Qiang

College English cross-cultural teaching has changed from offline to online teaching. Under the impetus of MOOC teaching mode, college English cross-cultural teaching online teaching has exposed problems such as insufficient intelligence and poor online teaching effects. In order to improve the efficiency of college English cross-cultural teaching, based on cloud computing technology and artificial intelligence technology, this article improves and analyzes traditional MOOC, improves traditional algorithms according to the actual needs of MOOC teaching, and proposes a new improved model. Moreover, this article sets up functional modules through requirements analysis. In addition, according to actual teaching, this paper designs control experiments to verify and analyze the model performance from experimental teaching and the effect of attracting students’ online learning. The research results show that the model proposed in this paper has good performance and can effectively improve the efficiency of English cross-cultural teaching.

2020 ◽  
Vol 13 (3) ◽  
pp. 77 ◽  
Author(s):  
Cao Meng-yue ◽  
Li Dan ◽  
Wang Jun

College English teaching is supposed to cover both language acquisition and culture learning due to the close relationship between language and culture, taking cultural teaching as an indispensible part of college English courses. With the rapid integration of information technology and English curriculum, artificial intelligence has brought new opportunities to college English teaching, and college English cultural teaching methods are now faced with new innovations. In the age of intelligence, to promote teaching quality and learning effect, artificial intelligence technology can be embedded in English teaching practice, exerting its technical advantages and frontier characteristics. In consideration of integrated developing tendency of college English cultural teaching model and modern information technology, the paper is aimed to design and build up an intelligence-aided system so as to extend the depth and width of the application of modern information technology in college English cultural teaching as well as to exploit the great application potential of modern information technology in college English cultural teaching, thus opening a new way and presenting a direction for college English cultural teaching.


2021 ◽  
pp. 281-288
Author(s):  
Liu Peng

Through literature review, this paper expounds the descriptive parameter framework of College English mixed teaching and the index framework of teachers' effective teaching behavior in College English mixed teaching and its influencing factors. Based on this, this paper studies the new "offline + online" teaching model of College English based on cloud computing. This paper verifies and enriches the framework established based on literature through pilot interviews. For the part of effective teaching behavior, this paper applies Delphi expert survey method to conduct two rounds of questionnaire consultation with 10 information-based foreign language teaching research experts, and forms the final effective teaching behavior questionnaire. The results of this study show that teachers' effective teaching behavior in College English teaching can be summarized into five factors. According to the explanatory power, the order from high to low is: online learning management, teacher support, organizing face-to-face classroom, diversified evaluation and personalized teaching. Therefore, the new "offline + online" teaching model of College English based on cloud computing can improve the efficiency of English teaching.


2021 ◽  
pp. 349-356
Author(s):  
Yu Qing

Big data is profoundly changing our society and our way of production, life and thinking. At the same time, the development of big data continues to promote the innovation and breakthrough of artificial intelligence. Artificial intelligence is the focus of current research. All countries also raise artificial intelligence to the national strategic level and seize the commanding height of artificial intelligence. This paper analyzes the strategic characteristics of the development of artificial intelligence in the United States, Britain and Japan from the two dimensions of technology deployment and system guarantee. This paper studies the artificial intelligence technology based on big data and the development strategy of artificial intelligence, so as to provide a strategic idea for the development of artificial intelligence in China. The idea has a certain reference value for the research on the integrated development technology of artificial intelligence, big data and cloud computing.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaohua Zhang ◽  
Lin Chen

With the development of mobile information, artificial intelligence technology has developed rapidly, which is changing everything in our life. Meanwhile, smart education appeared and attracted much attention; however, there is still a lack of systematic discussion on how to take the road of artificial intelligence plus smart classroom. In order to promote the intelligent development of education, this article mainly talks about the application of artificial intelligence technology to college English smart classrooms. In the process of teaching, a new teaching model of college English smart classroom was designed, and the teaching model was carried out through the experimental class and the survey results of the students. The survey results show that students’ satisfaction with this teaching model is as high as 80%.


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