Affecting Factors Analysis on Second Language Learning Based on Linear Regression

Abstract

With the development of artificial intelligence and machine learning technology, language education has also entered the road of technological reform. Also, as learners progress with different speed at the second language acquisition, the factors to influence the progressive speed have become a concern for many linguistics. According to the literature statistics and factors data collection of second language learning in history, this paper analyzes the influencing factors by linear regression through SPSSAU. Through new techniques and methods, we can further study the influencing factors of second language learning. This study first gives a comprehensive overview of some internal factors, especially individual differences, and a brief analysis of external factors, then scrutinizes the correlation between motivation and second language learning. The study not only sorts out four major periods with corresponding leading linguistics and theories in history, but also points out the latest development in theories, research methodologies, practical approaches and research centers. By comparing and analyzing the data of influencing factors, the elements of second language acquisition can be displayed more clearly, which can be the basis for our future improvement of language teaching. Critical views are offered in the end for further research.