摘要
传统英语CAI在教学上对各个学生自身的差异不能足够关注,不能提供更为完善的服务系统。针对此不足,本文设计了一种ICAI慕课系统,该系统可自动给学生推送特色化的学习方案,基于每个学生掌握的学习效果不同。该系统能以学生对外语知识的掌握情况并结合学生自身的特长为基础,制定一对一的学习方法,从而帮助学生提高英语的学习效率。本文主要分析了MOOC平台ICAI系统的总体设计：系统设计以SSH结构为框架,BP神经网络为算法,重点分析了BP算法所采用的基本原理、训练采用的具体步骤和评价应用的启发性规则。最终结果表明,该英语MOOC平台能满足学生的需求且稳定性好。
English CAI has made great achievements in teaching,but traditional English CAI can’t pay enough attention to students’ differences in teaching,and can’t provide a more perfect service system. To solve this problem,this paper designs a ICAI Moore system,which can automatically push students’ characteristic learning plan based on different learning effects of each student. The system is based on students’ knowledge of foreign languages and their own strengths,and develops one to one learning methods,so as to help students improve their English learning efficiency.This paper mainly analyzes the overall design of MOOC platform ICAI system： the system design takes SSH structure as the framework,BP neural network as algorithm,focuses on analyzing the basic principles of BP algorithm,the specific steps of training and the heuristic rules for evaluating applications. The final results show that the English MOOC platform can meet the needs of the students and have good stability.
作者
杨燕
YANG Yan(Shanxi Industrial Vocational and Technical College,Shanxi Xianyang,712000)
出处
《自动化与仪器仪表》
2018年第8期81-83,共3页
Automation & Instrumentation
