Application of artificial intelligence visual analysis technology in classroom English teaching evaluation

This study discusses the application of artificial intelligence visual analysis technology in classroom English teaching evaluation, and comprehensively evaluates the classroom teaching effect by analyzing teachers' teaching behavior, language expression, students' understanding and students' participation. Results There were differences in related indexes among different teachers. Teachers' interaction frequency and language expression quality have a direct impact on students' understanding and participation. Increasing interaction links and improving language expression quality can improve teaching effect. This study uses advanced artificial intelligence technology to provide scientific and objective quantitative methods for classroom teaching evaluation and provides specific data support for teachers to improve teaching strategies, which is conducive to improving the overall teaching quality and students' learning effect.