大数据环境下高校移动学习平台的设计与实现-《计算机技术与发展》

文章信息/Info

Title:: Design and Implementation of College Mobile Learning Platform in Big Data Environment

Author(s):: ZHAO Wei; FANG Cheng; Information Technology Office,Xianyang Normal University,Xianyang 712000,China

Keywords:: mobile learning; teaching; big data; intelligent recommendation; fuzzy recommendation

摘要:: 传统的教学方式正在发生变革,移动化学习越来越成为老师和学生进行教与学的一种新手段,尤其是智能手机的普及和大数据技术的发展。随着越来越多的学习者习惯于用移动设备进行学习,现有学习平台的局限性就越来越明显。该文以大数据为基础,设计了高校智慧移动学习平台解决方案。该平台主要实现对学习内容进行智能化推荐,文中主要对系统中的推荐理论模型进行详细介绍——建立主要的模糊推荐需求集合;建立高级的模糊推荐需求集;设计模糊推荐算法。平台可根据学习者动态的学习情况,智能推荐合适的学习内容,并将实时信息告知学习者,结果分析证明该平台可靠且易于使用。该方案对普通高校的教学具有一定的推动作用,为教学创新提供了新的参考。

Abstract:: Traditional teaching methods are changing. Mobile learning has become a new means of student-teacher teaching and learning, especially with the popularity of smart phones and the development of big data technology. As more and more learners become accustomed to learning on mobile devices,the limitations of existing learning platforms become more and more apparent. Based on? ?big data,we design a solution for the intelligent mobile learning platform of colleges and universities,which mainly implements intelligent recommendations for learning content. We mainly introduce in detail the recommendation theory model in the system, including establishment of the main fuzzy recommendation requirement set and an advanced fuzzy recommendation requirement set,and design of a fuzzy recommendation algorithm. The platform can select the appropriate learning content according to the learning situation of the learner,and inform the learners of the real-time information. The results show that the platform is reliable and easy to use. This program has a certain role in promoting the teaching of colleges and universities,and provides a new reference for teaching innovation.