Affiliations: [a] School of Foreign Languages, City College of Dongguan University of Technology, Dongguan, Guangdong, China
| [b]
School of Electronics and Electrical Engineering, Dongguan Polytechnic, Dongguan, Guangdong, China
Correspondence:
[*]
Corresponding author. Mai Qiang, School of Electronics and Electrical Engineering, Dongguan Polytechnic, Dongguan, Guangdong, China. E-mail: [email protected].
Abstract: 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.
Keywords: MOOC platform, artificial intelligence, college English, cross-cultural
teaching
