[1]张鸿洋,陈健,翟梅. 基于 Mashup 的个性化移动学习平台[J].计算机技术与发展,2016,26(01):27-32.
　ZHANG Hong-yang,CHEN Jian,ZHAI Mei. Personalized Mobile Learning Platform Based on Mashup[J].,2016,26(01):27-32.
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 基于 Mashup 的个性化移动学习平台()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年01期
页码:
27-32
栏目:
智能、算法、系统工程
出版日期:
2016-01-10

文章信息/Info

Title:
 Personalized Mobile Learning Platform Based on Mashup
文章编号:
1673-629X（2016)01-0027-06
作者:
 张鸿洋; 陈健; 翟梅
 陕西师范大学 计算机科学学院,
Author(s):
 ZHANG Hong-yang; CHEN Jian; ZHAI Mei
关键词:
 ; 移动学习; 聚合; 个性化; 移动应用
Keywords:
 ; mobile learning; Mashup; personalization; mobile application
分类号:
TP39
文献标志码:
A
摘要:
 在学习者进行移动学习的过程中，学习资源是核心，而 Mashup 能够对网络上现有学习资源进行整合，可以很好地解决学习资源、服务的分散问题。将 Mashup 的方式应用到移动学习的领域可以更好地帮助学习者实现随时随地的学习。因此，文中在移动学习中引入 Mashup 技术，构建了一个学习平台。利用该平台聚合广义分布的网络学习资源，实现资源的自动抓取、解析，同时提供可视化编辑器，可以方便地对平台的数据源进行扩充，使该平台具有高度的灵活性和扩展性。此外，平台可以有效地与移动终端结合，学习者可以随时随地对平台中的资源进行订阅和访问。重点描述了平台的整体架构、组成模块、对移动设备的支持以及数据模型的设计；基于原型系统的案例分析验证了平台的可用性。结果表明，该平台可以极大地提高学习者对于资源获取的效率，满足学习者个性化学习的需求，有效提升了学习者的积极性和自主学习能力。
Abstract:
 Learning resources are regarded as the critical point for learners in their process of mobile learning. And the Mashup,which is able to integrate the existing learning resources on the network,can solve the problems of dispersion in the aspect of learning resources and services in an efficient way. Also,it can better assist the learners to study whenever it is and wherever they may be when applying the way of Mashup to the field of mobile learning. Hence,the technique of Mashup in mobile learning was introduced in this paper to con-struct a learning platform,and the automatic crawls as well as analysis for resources can be realized by using the platform to aggregate the web-based learning resources of generalized distribution. Also,it provides a visual editor to extend data sources more convenient,which makes the platform has a high degree of flexibility and scalability. In addition,platform can be effectively combined with the mobile ter-minal,so that learners can subscribe and access the resources through mobile devices anytime and anywhere. In this paper,the overall ar-chitecture,the composition modules,the support for mobile devices,as well as the design of the data model were described in details. Then,it customizes a trial application to verify the availability of the platform. The results show that the platform can greatly improve the efficiency of resource acquisition for learners,and meet the needs of learner individualized learning,effectively improving the learner’ s motivation and self-learning ability.

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更新日期/Last Update: 2016-04-12