An Online English Writing Evaluation System Using Deep Learning Algorithm

Abstract

In English writing, automatic evaluation systems are becoming more and more common and are receiving more and more attention. As a teaching application, an automatic evaluation system uses information technologies such as corpus and artificial intelligence to quickly score and modify students' writing. To expedite the realization of teaching information, this system records students' writing processes, which are closely related to the instruction requirements of the college's English program and meets the personalized needs by combining the current situation of English writing and teaching. This study investigates the impact of field cognitive style and automatic evaluation system on college writing training. From the perspective of cognitive style differences, this paper summarizes the application strategies of an automatic evaluation system in College English writing and teaching, to better realize the integration of information technology and subject teaching and improve students' English writing ability and level. The deep learning-based system for grading students in the classroom is completed by this paper. The network data transmission module allows several ends to all experience stable data interaction.