Application of Convolutional Neural Network-Based Hierarchical Teaching Method in College English Teaching and Examination Reform

Along with the pace of educational reform in colleges and universities, a variety new types teaching research approaches stand out each subject taught universities. For example, college English lectures, given practice individualized tiered teaching, development relevant models for students at different levels has become type developed year by year. Based on classroom program, teachers should make cognizance model when teaching. This paper discusses method carries from strategies such as paying attention to students’ doing well lecture developing homework evaluation In addition, assessment system courses lags behind cannot play guiding role response above-mentioned views problems, this proposes convolutional neural network-based algorithm that provides learning styles stratified English, making capable understand what they learn class, improving quality high school courses, and, same time, establishing standardized scientific course reliability validity meets actual situation applied technical students. At been established meet needs