摘要
针对传统多媒体教学手段存在重技轻教、使用死板和缺乏选择性等问题,文中设计与实现了一种基于大数据分析的思政教学系统。该系统由多媒体教学软件和大数据推荐两部分组成,多媒体教学软件基于B/S架构实现了在线教学与资源管理功能;大数据推荐子系统通过搜集、分析用户的行为和提取用户特征,向用户推荐更合适的学习资源。功能实现及性能测试结果表明,本系统实现了以学生为主体的教学模式。其不仅可以有效提升学生的学习体验,且还能支持多人同时在线学习,可有效提升学生学习的主动性。
Aiming at the problems of traditional multimedia teaching methods such as heavy education,inflexible use,and lack of selectivity,a ideological education system based on big data analysis is designed and implemented. The system is composed of multimedia teaching software and big data recommendation. The multimedia teaching software implements online teaching and resource management functions based on B/S architecture; the big data recommendation subsystem collects and analyzes user behavior and extracts user characteristics to users. Recommend more suitable learning resources. The results of functional implementation and performance test show that the proposed system realizes a student-centered teaching model,which can not only effectively improve the student’s learning experience,but also support multi-person online learning at the same time,and can effectively enhance students’ initiative in learning.
作者
赵瑞丹
ZHAO Ruidan(Xi＇an Aviation Vocational and Technical College,Shanxi Xi＇an,710089)
出处
《自动化与仪器仪表》
2018年第8期117-119,共3页
Automation & Instrumentation
关键词
思政教学
大数据
推荐
B/S
资源管理
在线学习
Ideological and political education
big data
recommendations
b/s
resource management
online learning
