Open AccessApplication of Big Data Technology in English Teaching Innovation
Author(s) -
Ying Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1744/3/032007
Subject(s) - ambiguity , computer science , big data , apriori algorithm , order (exchange) , data science , set (abstract data type) , a priori and a posteriori , simple (philosophy) , small data , data mining , association rule learning , philosophy , finance , epistemology , programming language , economics
With the rapid development of database and computer network technology, traditional data analysis methods can no longer meet the needs of people’s lives and work. The traditional data method only uses statistical analysis theory to perform simple summary statistics on the data, without considering the ambiguity and uncertainty of the data. In order to solve the shortcomings of the existing methods, big data came into being. High-dimensional, uncertain, vague, and noisy data are used to mine potential, implicit, and useful information and patterns to improve people’s market decision-making capabilities and assist people in giving feedback on the basis of past experience. The future development trend and so on. Although attempts to innovate in English teaching are continuing, there are still shortcomings. In order to solve the problem of English innovation, this paper adopts the Apriori algorithm and will conduct research on English innovation. Using the methods in this article, through the combination and calculation of the previous innovative methods of English teaching, we find a set of reasonable English teaching methods. According to calculations, this method can improve students’ learning ability by 14%.