“à la” in Education: Keywords Linking Method for Selecting Web Resources


Andric, Miirjana, Devedzic, Vladan, Hall, Wendy and Carr, Leslie (2005) “à la” in Education: Keywords Linking Method for Selecting Web Resources. In, The 12th International Conference on Artificial Intelligence in Education (AIED-2005), Amsterdam, Netherlands, 18 - 22 Jul 2005. IOS Press, 25-32.

WarningThere is a more recent version of this item available.

Download

Full text not available from this repository.

Description/Abstract

The authors of the Web-based courseware typically face problems such as how to locate, select and semantically relate suitable learning resources. As the concept of the Semantic Web has not yet matured, the authors resort to a keyword-based search and bookmarking. This paper proposes a tool that supports the authors in their tasks of selection and grouping the learning material. The “à la” (Associative Linking of Attributes) in Education, enhances the search engine results by extracting the attributes (keywords and document formats) from the text. The relationships between the attributes are established and visualised in a novel hypertext paradigm using the ZigZag principles. Browsing the related metadata provides a quick summary of the document that can help in faster determining its relevancy. Also, the proposed solution enables better understanding why some resources are grouped together as well as providing suggestions for the further search. The results of a user trial indicate high levels of user satisfaction and effectiveness.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Publication: Frontiers in Artificial Intelligence and Applications Artificial Intelligence in Education - Supporting Learning through Intelligent and Socially Informed Technology Commentary On: http://www.booksonline.iospress.nl/Content/View.aspx?piid=1288 Event Dates: July 18–22, 2005
ISBNs: 9781586035303
Keywords: Web-based teaching, Authoring support tools, Extracting metadata, Hypertext structures, ZigZag, zzstructures
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science
ePrint ID: 263568
Date Deposited: 19 Feb 2007
Last Modified: 27 Mar 2014 20:07
Publisher: IOS Press
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/263568

Available Versions of this Item

Actions (login required)

View Item View Item