Today’s technology enhanced learning practices cater to students and
teachers who use many different learning tools and environments and
are used to a paradigm of interaction derived from open, ubiquitous,
and socially-oriented services. In this context, a crucial issue
for education systems in general, and for ITSs in particular, is
related to the ability of leveraging these new paradigms for creating,
maintaining and sharing the knowledge that these systems embed. This
will enable learning environments to benefit from shared information
from disparate systems, which is related to learning content and
student activities, so that the overall complexity of system development
and maintenance would be reduced while at the same time improving
the capability of personalization, context-awareness, collaboration,
and feedback provisioning. In this paper, we investigate how the
Social Semantic Web can be leveraged for enabling and easing this
process. This paper analyzes each ITS module, showing how it can
benefit from the Social Semantic Web paradigm.
%0 Conference Paper
%1 Jovanovic:2008:its
%A Jovanović, Jelena
%A Torniai, Carlo
%A Gasević, Dragan
%A Bateman, Scott
%A Hatala, Marek
%B ITS'08: Proc. 9th Int'l Conf. on Intelligent
Tutoring Systems
%C Montreal, Canada
%D 2008
%E Woolf, Beverley P.
%E Aïmeur, Esma
%E Nkambou, Roger
%E Lajoie, Susanne
%I Springer
%K imported thesis
%P 563--572
%R 10.1007/978-3-540-69132-7_59
%T Leveraging the Social Semantic Web in Intelligent Tutoring Systems
%V 5091
%X Today’s technology enhanced learning practices cater to students and
teachers who use many different learning tools and environments and
are used to a paradigm of interaction derived from open, ubiquitous,
and socially-oriented services. In this context, a crucial issue
for education systems in general, and for ITSs in particular, is
related to the ability of leveraging these new paradigms for creating,
maintaining and sharing the knowledge that these systems embed. This
will enable learning environments to benefit from shared information
from disparate systems, which is related to learning content and
student activities, so that the overall complexity of system development
and maintenance would be reduced while at the same time improving
the capability of personalization, context-awareness, collaboration,
and feedback provisioning. In this paper, we investigate how the
Social Semantic Web can be leveraged for enabling and easing this
process. This paper analyzes each ITS module, showing how it can
benefit from the Social Semantic Web paradigm.
%@ 978-3-540-69130-3
@inproceedings{Jovanovic:2008:its,
abstract = {Today’s technology enhanced learning practices cater to students and
teachers who use many different learning tools and environments and
are used to a paradigm of interaction derived from open, ubiquitous,
and socially-oriented services. In this context, a crucial issue
for education systems in general, and for ITSs in particular, is
related to the ability of leveraging these new paradigms for creating,
maintaining and sharing the knowledge that these systems embed. This
will enable learning environments to benefit from shared information
from disparate systems, which is related to learning content and
student activities, so that the overall complexity of system development
and maintenance would be reduced while at the same time improving
the capability of personalization, context-awareness, collaboration,
and feedback provisioning. In this paper, we investigate how the
Social Semantic Web can be leveraged for enabling and easing this
process. This paper analyzes each ITS module, showing how it can
benefit from the Social Semantic Web paradigm.},
added-at = {2017-03-16T11:50:55.000+0100},
address = {Montreal, Canada},
author = {Jovanovi\'c, Jelena and Torniai, Carlo and Ga\v{s}evi\'c, Dragan and Bateman, Scott and Hatala, Marek},
biburl = {https://www.bibsonomy.org/bibtex/2e1c31e7f68048291d894f76d6bd0ec57/krevelen},
booktitle = {ITS'08: Proc. 9th Int'l Conf. on Intelligent
Tutoring Systems},
crossref = {its:2008},
doi = {10.1007/978-3-540-69132-7_59},
editor = {Woolf, Beverley P. and A\"imeur, Esma and Nkambou, Roger and Lajoie, Susanne},
interhash = {331f535bb3e95469a72731613532aff1},
intrahash = {e1c31e7f68048291d894f76d6bd0ec57},
isbn = {978-3-540-69130-3},
keywords = {imported thesis},
owner = {Rick},
pages = {563--572},
publisher = {Springer},
series = {LNCS},
timestamp = {2017-03-16T11:54:14.000+0100},
title = {Leveraging the Social Semantic Web in Intelligent Tutoring Systems},
volume = 5091,
year = 2008
}