Evaluation Algorithm of New Media Computer-Aided Instruction System Based on BP Neural Network

With the development of computer network and new media technology, computer-aided instruction (CAI) has begun to develop in a new direction and entered a new stage of new media CAI. Its research and development has been widely valued and rapidly developed. This paper discusses the wide application of multimedia in the auxiliary teaching system, which create new methods for teaching reform. At the same time, the feasibility and system function model of multimedia teaching system are established, and the teaching supporting system based on back propagation (BP) neural network is successfully developed. At the same time, some key points of the algorithm and teaching system are put forward, and the implementation of the algorithm and some functions of the system are introduced in detail, and an example is given. Through the application of this system, the teaching quality of corresponding problems was improved, and the teaching efficiency was increased by 23.14%.