Design of Information Security Evaluation Model in English Teaching under Embedded Network

Abstract

This article thoroughly and comprehensively explores the innovative application of embedded neural network technology in the multimedia teaching mode of universities for automatic scoring and feedback design in English teaching. Based on this, a scoring feedback generation system that can be seamlessly integrated into the actual teaching process is carefully designed. A major breakthrough of this system is that it creatively integrates the mature technology of the validated English composition automatic scoring system with the most advanced speech recognition engine, jointly constructing a multifunctional intelligent scoring model with embedded neural network as the core. This model is specifically designed for open-ended oral problems, aiming to provide an efficient and accurate automatic scoring solution.