Wolff, Annika; Mulholland, Paul; Zdrahal, Zdenek and Blasko, Miroslav
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|DOI (Digital Object Identifier) Link:||http://dx.doi.org/10.1007/978-3-642-15280-1_20|
|Google Scholar:||Look up in Google Scholar|
In this paper we describe the SILVER toolkit, which is designed for tasks in which a user learns by analysing and interpreting a set of resources. The user categorises each resource according to the set of properties that they identify as being applicable to it. Due to the large amount of data generated by this type of task, the user may find it hard to identify patterns in their classification and tagging, to recognise their own inconsistencies or make comparisons between themselves and others. In the first SILVER task described, the ID3 decision tree algorithm is applied to the user’s data to identify patterns and generate different types of feedback. Principles of spatial hypertext are used to produce an interactive visualization of the summarized data. As the user interacts with the resources, they can see their progress and changing perspective on the task. In the second SILVER task described, a conceptual model is used to provide explanations of the model underlying the user’s classification of resources.
|Item Type:||Conference Item|
|Copyright Holders:||2010 Springer-Verlag|
|Keywords:||spatial hypertext; inquiry learning; ID3 decision trees; categorization and organization|
|Academic Unit/Department:||Knowledge Media Institute|
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Kay Dave|
|Date Deposited:||21 Dec 2010 14:11|
|Last Modified:||25 Oct 2012 13:56|
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