基于BP神经网络的英语ICAI慕课系统设计与实现

Design and Implementation of English ICAIMooc System Based on BP Neural Network

英语CAI教学取得了很大进展,但传统英语CAI教学对学生个体差异关注不够。本文提出了一种根据学生学习效果自动推送个性化教学内容的ICAI慕课系统,分析了ICAI慕课系统的基本需求和整体结构;采用BP神经网络算法,重点阐述了该算法的原理、训练步骤和启发式规则;并对系统进行了开发与测试。结果显示:该软件能满足设计需求且具有较好的稳定性。

Although CAI（Computer-Aided Instruction） English teaching has made great progress,the traditional CAI English teaching focus less on students＇ individual differences.This paper introduces the ICAI MOOC teaching system,which can automatically push learning contents to students based on their learning performance.By using the BP neural network algorithm,the paper emphasizes the principle,the training steps and the heuristic rules of the algorithm.Furthermore,the ICAI MOOC teaching system has been developed and tested.The result shows that the software can meet the design requirements and has good stability.