A semantic-rich framework for learning software patterns

Zoran Jeremić; Jelena Jovanović; Dragan Gašević

doi:10.1109/ICALT.2008.258

A semantic-rich framework for learning software patterns

Zoran Jeremić, Jelena Jovanović, Dragan Gašević

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

2 Citations (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 language	English
Title of host publication	Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	120-121
Number of pages	2
ISBN (Print)	9780769531670
DOIs	https://doi.org/10.1109/ICALT.2008.258
Publication status	Published - 2008
Externally published	Yes
Event	IEEE International Conference on Advanced Learning Technologies 2008 - Santander, Spain Duration: 1 Jul 2008 → 5 Jul 2008 Conference number: 8th https://ieeexplore.ieee.org/xpl/conhome/4561602/proceeding (Proceedings)

Conference

Conference	IEEE International Conference on Advanced Learning Technologies 2008
Abbreviated title	ICALT 2008
Country/Territory	Spain
City	Santander
Period	1/07/08 → 5/07/08
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4561602/proceeding (Proceedings)

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10.1109/ICALT.2008.258

Cite this

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title = "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.",

author = "Zoran Jeremi{\'c} and Jelena Jovanovi{\'c} and Dragan Ga{\v s}evi{\'c}",

year = "2008",

doi = "10.1109/ICALT.2008.258",

language = "English",

isbn = "9780769531670",

pages = "120--121",

booktitle = "Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Conference on Advanced Learning Technologies 2008, ICALT 2008 ; Conference date: 01-07-2008 Through 05-07-2008",

url = "https://ieeexplore.ieee.org/xpl/conhome/4561602/proceeding",

}

Jeremić, Z, Jovanović, J & Gašević, D 2008, A semantic-rich framework for learning software patterns. in Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008. IEEE, Institute of Electrical and Electronics Engineers, pp. 120-121, IEEE International Conference on Advanced Learning Technologies 2008, Santander, Spain, 1/07/08. https://doi.org/10.1109/ICALT.2008.258

A semantic-rich framework for learning software patterns. / Jeremić, Zoran; Jovanović, Jelena; Gašević, Dragan.
Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008. IEEE, Institute of Electrical and Electronics Engineers, 2008. p. 120-121.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Gašević, Dragan

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AB - 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.

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A semantic-rich framework for learning software patterns

Abstract

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