Impact of Artificial Intelligence Assisted Approach on English Teaching and Learning

Abstract

The research objectives are to study the impact of artificial intelligence assisted approach on English teaching and learning. The research is mixed method of qualitative and quantitative research. Quantitative research investigations applied pilot study, case study in Qiannan Normal Universities for Nationalities in Guizhou Province in China, and overall investigation from universities in China. Data collecting method is carried out by adopting China’s most reliable and academic research website wjx.cn. In qualitative research, semi-constructed interview is conducted in Qiannan Normal Universities for Nationalities in Guizhou Province in China. The research employs ANOVA analysis, reliability analysis, regression analysis and other necessary analysis methods to assess the variables and to test hypothesis. Findings in researches from the respondents’ perspective show that artificial intelligence assisted approaches are functioning as promoter for English teaching and learning and acting as a tester for source of classroom data and assessment in terms of classroom performance. The significance of the research is to advocate educational innovation and reform focusing on the development of an educational model of “teaching, learning, examination, evaluation, and management” to promote the integration of technology and educational scenarios and further promote the empowerment of smart education. What’s more, the way out is to take education informatization as an endogenous variable of educational systemic changes to promote the development of artificial intelligence in assisting education. The measures to take is for education research to create different models for smart education in running schools of AI with different characteristics based on their geographical location, economic condition, cultural advantages and physical resources advantage.