Gap Detection in Web-Based Adaptive Educational Systems
D. Jednoralski, E. Melis, S. Sosnovsky, and C. Ullrich. Advances in Web-Based Learning ICWL 2010, volume 6483 of Lecture Notes in Computer Science, page 111--120. Berlin, Heidelberg, Springer Berlin / Heidelberg, (2010)
Abstract
Content development for adaptive educational systems is known to
be an error-prone task. Gaps can occur when the content is created,
modified or when the context of its usage changes. This paper aims
at improving the existing practises of learning content quality control
in adaptive educational systems by automating the detection and management
of gaps. Several categories of gaps are identified to account for
structural, linguistic, and semantic inconsistencies in collections
of learning content. An effective filtering mechanism has been implemented
in order to separate the collected gap data into categories that
are relevant for the current authoring context. An evaluation of
the developed tool demonstrates its utility.
%0 Conference Paper
%1 Jednoralski10Gap
%A Jednoralski, Dominik
%A Melis, Erica
%A Sosnovsky, Sergey
%A Ullrich, Carsten
%B Advances in Web-Based Learning ICWL 2010
%C Berlin, Heidelberg
%D 2010
%E Luo, Xiangfeng
%E Spaniol, Marc
%E Wang, Lizhe
%E Li, Qing
%E Nejdl, Wolfgang
%E Zhang, Wu
%I Springer Berlin / Heidelberg
%K e-learning tel,
%P 111--120
%T Gap Detection in Web-Based Adaptive Educational Systems
%U http://www.carstenullrich.net/pubs/Jednoralski10Gap.pdf
%V 6483
%X Content development for adaptive educational systems is known to
be an error-prone task. Gaps can occur when the content is created,
modified or when the context of its usage changes. This paper aims
at improving the existing practises of learning content quality control
in adaptive educational systems by automating the detection and management
of gaps. Several categories of gaps are identified to account for
structural, linguistic, and semantic inconsistencies in collections
of learning content. An effective filtering mechanism has been implemented
in order to separate the collected gap data into categories that
are relevant for the current authoring context. An evaluation of
the developed tool demonstrates its utility.
%@ 978-3-642-17406-3
@inproceedings{Jednoralski10Gap,
abstract = {{Content development for adaptive educational systems is known to
be an error-prone task. Gaps can occur when the content is created,
modified or when the context of its usage changes. This paper aims
at improving the existing practises of learning content quality control
in adaptive educational systems by automating the detection and management
of gaps. Several categories of gaps are identified to account for
structural, linguistic, and semantic inconsistencies in collections
of learning content. An effective filtering mechanism has been implemented
in order to separate the collected gap data into categories that
are relevant for the current authoring context. An evaluation of
the developed tool demonstrates its utility.}},
added-at = {2011-01-10T04:56:07.000+0100},
address = {Berlin, Heidelberg},
author = {Jednoralski, Dominik and Melis, Erica and Sosnovsky, Sergey and Ullrich, Carsten},
biburl = {https://www.bibsonomy.org/bibtex/28d3b4b97af5caed370cae1bc4adb8460/sjtuelearninglab},
booktitle = {Advances in Web-Based Learning ICWL 2010},
editor = {Luo, Xiangfeng and Spaniol, Marc and Wang, Lizhe and Li, Qing and Nejdl, Wolfgang and Zhang, Wu},
interhash = {4f4e374c6869cc92992e9d72120f058e},
intrahash = {8d3b4b97af5caed370cae1bc4adb8460},
isbn = {978-3-642-17406-3},
keywords = {e-learning tel,},
pages = {111--120},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2011-01-10T04:57:12.000+0100},
title = {{Gap Detection in Web-Based Adaptive Educational Systems}},
url = {http://www.carstenullrich.net/pubs/Jednoralski10Gap.pdf},
volume = 6483,
year = 2010
}