A semantic-rich framework for learning software patterns

Abstract

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.