The Intervention of Internet Technology on Students' English Learning in the Intelligent Era

Abstract

Objective: With the development of the Internet, Internet technology has had a great impact on English learning. This article explores the general expression of the performance, motivation and anxiety of students in Chinese medicine undergraduates in second language learning (SLL). performance, motivation, and anxiety for Chinese Medicine undergraduates in China, it is to analyze the attribution and relationship of above three aspects, and propose the method of using artificial intelligence to improve students’ learning motivation, reduce learning anxiety and improve learning ability. Methods: it is to select the undergraduate students (n = 300) in Jilin Province of China as the subjects. Use the Chinese version of the Foreign Language Learning Anxiety Scale under Internet technology, the Chinese Undergraduate English Learning Motivation Questionnaire, the self-made College Students’ English learning ability evaluation scale and the English Writing Scale were used for test. Results: SLL performance, motivation, and anxiety for Chinese Medicine undergraduates are in the middle level among all undergraduates in China, and their English writing ability is lower than the middle level; Analysis of variance shows that there are significant differences in gender (pDemographic variables were not statistically correlated with SLL performance, motivation, and anxiety (p>0.05); SLL anxiety had remarkable correlation with learning motivation (p>0.05); learning anxiety was statistically correlated with learning ability (pRegression analysis showed that learning anxiety and motivation had 44.3% and 5.8% explanatory power to English learning ability respectively. Intervention experiment results showed that Internet learning system significantly improved the performance of the experimental group (P the effectiveness of Internet learning mode had remarkable negative relationship with students’ learning anxiety (PConclusion: Based on the data-driven theory, the empirical study of Internet learning system in English teaching is completed, which provides an important theoretical support for the current College English intelligent teaching in China, which also provides a strong argument for the “scaffolding function” of AI in language learning. At the same time, the research also puts forward innovative ways to improve the effect of College English teaching from the perspective of psychology: through second language learning with AI resources, the “challenging task” set by the intelligent learning system increases the intensity and difficulty of learning, thus arousing the “promoting anxiety” of second language learners, and further internalizing the external and instrumental motivation in depth in order to improve English learning ability.