Apply artificial intelligence to the field of education, and use big data analysis technology to extract educational data to test the effectiveness of education and diagnose educational problems; improve education management by assisting education administrators to implement general supervision, and transform traditional experience-based management into intelligent and scientific management to improve management efficiency. Among other things, intelligent analysis of digital images, assessment of learner behavior, individual educational problem solving, and helping science teachers with educational decision-making are being developed for learners. Provide diagnostic feedback on education through artificial intelligence, improve educational efficiency, and then provide innovative solutions for educational organizations, learning activities, etc. This paper conducts a series of studies on how artificial intelligence can be better applied to English teaching, and summarizes the relevant technical background; this paper proposes a GNN-based personalized English learning knowledge graph and an expert system-based English-assisted teaching system. It also conducted a questionnaire survey of teachers in several high schools to understand the basic situation of teachers using artificial intelligence in teaching. The survey found that the correlation coefficient between teachers' utilization rate of artificial intelligence technology and constraints was -0.58, and the test value was P<0.01. Based on the results of the questionnaire survey, suggestions for improvement were put forward.

Yanhua Yang. The Current Situation and Countermeasures of English Teaching in the Era of Artificial Intelligence 2.0. International Journal of Educational Innovation and Science (2020), Vol. 1, Issue 3: 56-73. https://doi.org/10.38007/IJEIS.2020.010305.

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