当前位置: X-MOL 学术Soft Comput. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Analysis on the construction of ideological and political education system for college students based on mobile artificial intelligence terminal
Soft Computing ( IF 4.1 ) Pub Date : 2020-04-27 , DOI: 10.1007/s00500-020-04932-6
Yuting Wang

With the development of modern mobile communication, artificial intelligence (AI) has begun to enter people’s life, and it is also constantly changing the modern education mode. First, the structure of BPN (back-propagation network) is designed in this paper. On this basis, genetic algorithm is applied to optimize, which can accelerate the convergence speed and achieve the effect of global optimization. The results obtained from the research also meet the expected value, realizing the purpose of optimizing the BP algorithm. This paper analyzes the AI teaching expert system, summarizes their functions and characteristics, and points out that the college students’ ideological and political teaching system based on the mobile AI terminal can be used as the teaching manager, teaching assistant, and even as the teaching object to guide students’ learning. At the same time, the article also points out that the application and development direction of artificial intelligence in the teaching field can be divided into three stages: primary application, intermediate application, and advanced application, so as to provide theoretical guidance for the construction and analysis of ideological and political teaching system for college students using mobile artificial intelligence terminals.



中文翻译:

基于移动人工智能终端的大学生思想政治教育系统建设分析

随着现代移动通信的发展,人工智能(AI)已经开始进入人们的生活,并且也在不断改变现代教育模式。首先,设计了BPN(反向传播网络)的结构。在此基础上,应用遗传算法进行优化,可以加快收敛速度​​,达到全局优化的效果。研究结果也达到了预期值,达到了优化BP算法的目的。本文分析了AI教学专家系统,总结了其功能和特点,指出基于移动AI终端的大学生思想政治教学系统可以用作教学管理者,助教,甚至作为指导学生学习的教学对象。同时,文章还指出,人工智能在教学领域的应用和发展方向可以分为三个阶段:初级应用,中间应用和高级应用,为构建和应用提供理论指导。移动人工智能终端的大学生思想政治教学系统分析

更新日期:2020-04-27
down
wechat
bug