Research on the optimization model of English intelligent learning based on the perspective of big data

Abstract

It is a theoretical innovation of teaching concept that the distance English teaching integrates with intelligent learning based on the perspective of big data. The acquisition of distance English teaching data requires the realization of automatic collection, forming the collection of data systematization, standardization, sustainability and real-time. The design mode and storage mode of data resources in the early stage have strict requirements. The analysis of distance English teaching data is to provide guarantee for future intelligent learning, because of the complexity of teaching data, the continuous and changing dynamic data, difficulties in mining the law of change and large volatility affected by individuals. To explore the inherent law and value of distance English teaching data will effectively promote the improvement of learners’ learning efficiency, the improvement of the overall level of distance education, the further expansion of educational opportunities and the enhancement of employability, and provide reference value for other related fields. Therefore, it is very important and urgent to study scientific methods which are suitable for distance English intelligent learning from the perspective of big data.