Proceedings of the 12th ACM conference on Hypertext and Hypermedia
Ontology-Centered Personalized Presentation of Knowledge Extracted from the Web
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Structure, tradition and possibility
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
A comparison of hyperstructures: zzstructures, mSpaces, and polyarchies
Proceedings of the fifteenth ACM conference on Hypertext and hypermedia
Assisting artifact retrieval in software engineering projects
Proceedings of the 2004 ACM symposium on Document engineering
Education and the Semantic Web
International Journal of Artificial Intelligence in Education
Key issues in next-generation Web-based education
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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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.