Eco-Environment Construction of English Teaching Using Artificial Intelligence Under Big Data Environment

Abstract

Application of big data and artificial intelligence has become one influence factor of English teaching, which have broken the balance of the teaching Eco-environment for English. In this article, the artificial intelligence and big data are introduced into English teaching to propose a new teaching Eco-environment construction method to meet the needs of the social development and international communication in English. In the proposed method, the characteristics of English teaching under big data environment are analyzed in detail. Then the big data technology is used to construct a new Eco-environment of English teaching to improve the teaching and learning quality. The data mining method is one of artificial intelligence methods, which is used to analyze the relationship of interdependence and mutual restriction among various factors in English teaching in order to build and implement a new Eco-environment with the information sharing, quality teaching and personalized learning of English. Finally, through the practical application of the constructed Eco-environment, the experiment results show that the proposed method can help students update their learning concepts, methods and contents of English, inspire their interest and initiative by comparing with some existed teaching methods, so as to improve their learning effects and application ability of English. Therefore, the constructed Eco-environment provides a new idea and direction for English teaching reform by application of big data and artificial intelligence.

Keywords

• Eco-environment
• English teaching
• big data
• data mining
• influence factor
• comprehensive ability