A semantic-rich framework for learning software patterns

被引：0
|
作者：
Jeremic, Zoran [1 ]
Jovanovic, Jelena [1 ]
Gasevic, Dragan [2 ]
机构：
[1] Univ Belgrade, FON School Business Adm, Belgrade 11001, Serbia
[2] Athabasca Univ, Sch Comp & Informat Syst, Athabasca, AB, Canada
来源：
8TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICALT.2008.258
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Current approaches to learning software patterns are based on individual use of different learning systems and tools. With this 'fragmented' approach it is very hard to provide support for context-aware learning and offer personalized learning experience to students. In this paper, we propose a new approach to learning software patterns that integrates existing Learning Management Systems, domain specific tools for software modeling and relevant online repositories of software patterns into a complex learning framework that supports collaborative learning. This framework is based on the semantic web technologies.
引用
收藏
页码：120 / +
页数：2
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