Ontology of Learning Object Content Structure

Jelena Jovanović; Dragan Gašević; Katrien Verbert; Erik Duval

Ontology of Learning Object Content Structure

Jelena Jovanović
, Dragan Gašević
, Katrien Verbert
, Erik Duval

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

Abstract

This paper proposes an ontology that enables a formal definition of Learning Object (LO) content structure. The ontology extends the Abstract Learning Object Content Model (ALOCoM) with concepts from information architectures. It defines a number of concepts that represent different types of content units and it specifies their structure. Formalising structural aspects of LOs, the ontology facilitates re-purposing of LOs at different levels of content granularity, i.e. LOs in their entirety and their components. Furthermore, being a generic LO content model, the ontology serves as an integration point of heterogeneous LO content models.

Original language	English
Title of host publication	Artificial Intelligence in Education
Subtitle of host publication	Supporting Learning through Intelligent and Socially Informed Technology
Editors	Chee-Kit Looi, Gord McCalla, Bert Bredeweg, Joost Breuker
Publisher	IOS Press
Pages	322-329
Number of pages	8
ISBN (Electronic)	1586035304, 9781586035303
Publication status	Published - 2005
Externally published	Yes
Event	International Conference on Artificial Intelligence in Education 2005 - Amsterdam, Netherlands Duration: 18 Jul 2005 → 22 Jul 2005 Conference number: 12th

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	125
ISSN (Print)	0922-6389

Conference

Conference	International Conference on Artificial Intelligence in Education 2005
Abbreviated title	AIED 2005
Country/Territory	Netherlands
City	Amsterdam
Period	18/07/05 → 22/07/05

Cite this

Jovanović, J., Gašević, D., Verbert, K., & Duval, E. (2005). Ontology of Learning Object Content Structure. In C.-K. Looi, G. McCalla, B. Bredeweg, & J. Breuker (Eds.), Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (pp. 322-329). (Frontiers in Artificial Intelligence and Applications; Vol. 125). IOS Press.

Jovanović, Jelena ; Gašević, Dragan ; Verbert, Katrien et al. / Ontology of Learning Object Content Structure. Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology. editor / Chee-Kit Looi ; Gord McCalla ; Bert Bredeweg ; Joost Breuker. IOS Press, 2005. pp. 322-329 (Frontiers in Artificial Intelligence and Applications).

@inproceedings{71fd6ae151e147e3bedecd48064fdc0a,

title = "Ontology of Learning Object Content Structure",

abstract = "This paper proposes an ontology that enables a formal definition of Learning Object (LO) content structure. The ontology extends the Abstract Learning Object Content Model (ALOCoM) with concepts from information architectures. It defines a number of concepts that represent different types of content units and it specifies their structure. Formalising structural aspects of LOs, the ontology facilitates re-purposing of LOs at different levels of content granularity, i.e. LOs in their entirety and their components. Furthermore, being a generic LO content model, the ontology serves as an integration point of heterogeneous LO content models.",

author = "Jelena Jovanovi{\'c} and Dragan Ga{\v s}evi{\'c} and Katrien Verbert and Erik Duval",

note = "Publisher Copyright: {\textcopyright} 2005 The authors. All rights reserved.; International Conference on Artificial Intelligence in Education 2005, AIED 2005 ; Conference date: 18-07-2005 Through 22-07-2005",

year = "2005",

language = "English",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "322--329",

editor = "Chee-Kit Looi and Gord McCalla and Bert Bredeweg and Joost Breuker",

booktitle = "Artificial Intelligence in Education",

address = "Netherlands",

}

Jovanović, J, Gašević, D, Verbert, K & Duval, E 2005, Ontology of Learning Object Content Structure. in C-K Looi, G McCalla, B Bredeweg & J Breuker (eds), Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology. Frontiers in Artificial Intelligence and Applications, vol. 125, IOS Press, pp. 322-329, International Conference on Artificial Intelligence in Education 2005, Amsterdam, Netherlands, 18/07/05.

Ontology of Learning Object Content Structure. / Jovanović, Jelena; Gašević, Dragan; Verbert, Katrien et al.
Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology. ed. / Chee-Kit Looi; Gord McCalla; Bert Bredeweg; Joost Breuker. IOS Press, 2005. p. 322-329 (Frontiers in Artificial Intelligence and Applications; Vol. 125).

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

TY - GEN

T1 - Ontology of Learning Object Content Structure

AU - Jovanović, Jelena

AU - Gašević, Dragan

AU - Verbert, Katrien

AU - Duval, Erik

N1 - Conference code: 12th

PY - 2005

Y1 - 2005

N2 - This paper proposes an ontology that enables a formal definition of Learning Object (LO) content structure. The ontology extends the Abstract Learning Object Content Model (ALOCoM) with concepts from information architectures. It defines a number of concepts that represent different types of content units and it specifies their structure. Formalising structural aspects of LOs, the ontology facilitates re-purposing of LOs at different levels of content granularity, i.e. LOs in their entirety and their components. Furthermore, being a generic LO content model, the ontology serves as an integration point of heterogeneous LO content models.

AB - This paper proposes an ontology that enables a formal definition of Learning Object (LO) content structure. The ontology extends the Abstract Learning Object Content Model (ALOCoM) with concepts from information architectures. It defines a number of concepts that represent different types of content units and it specifies their structure. Formalising structural aspects of LOs, the ontology facilitates re-purposing of LOs at different levels of content granularity, i.e. LOs in their entirety and their components. Furthermore, being a generic LO content model, the ontology serves as an integration point of heterogeneous LO content models.

UR - https://www.scopus.com/pages/publications/85139011564

M3 - Conference Paper

AN - SCOPUS:85139011564

T3 - Frontiers in Artificial Intelligence and Applications

SP - 322

EP - 329

BT - Artificial Intelligence in Education

A2 - Looi, Chee-Kit

A2 - McCalla, Gord

A2 - Bredeweg, Bert

A2 - Breuker, Joost

PB - IOS Press

T2 - International Conference on Artificial Intelligence in Education 2005

Y2 - 18 July 2005 through 22 July 2005

ER -

Ontology of Learning Object Content Structure

Abstract

Publication series

Conference

Other files and links

Cite this