A Study on the Evaluation of English Classroom Learning Status Based on Expression Recognition Technology

Abstract

With the advent of the era of big data and the continuous and in-depth development of artificial intelligence technology, various networks as well as network models have emerged, ushering in the era of artificial intelligence in education. Emotion recognition technology, as a key technology of educational AI, is helping to transform education. This study combines the characteristics of English classes and proposes an expression recognition technology-based student learning status evaluation method for English classroom teaching, which can provide teachers with intelligent and comprehensive teaching feedback and enable them to grasp students' learning situation in class in a timely manner, and has strong practical value for English classroom teaching.