A semantic-rich framework for learning software patterns

Zoran Jeremić, Jelena Jovanović, Dragan Gašević

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1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages120-121
Number of pages2
ISBN (Print)9780769531670
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventIEEE International Conference on Advanced Learning Technologies 2008 - Santander, Spain
Duration: 1 Jul 20085 Jul 2008
Conference number: 8th
https://ieeexplore.ieee.org/xpl/conhome/4561602/proceeding (Proceedings)

Conference

ConferenceIEEE International Conference on Advanced Learning Technologies 2008
Abbreviated titleICALT 2008
CountrySpain
CitySantander
Period1/07/085/07/08
Internet address

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