5,780 research outputs found
Adaptive hypertext and hypermedia : workshop : proceedings, 3rd, Sonthofen, Germany, July 14, 2001 and Aarhus, Denmark, August 15, 2001
This paper presents two empirical usability studies based on techniques from Human-Computer Interaction (HeI) and software engineering, which were used to elicit requirements for the design of a hypertext generation system. Here we will discuss the findings of these studies, which were used to motivate the choice of adaptivity techniques. The results showed dependencies between different ways to adapt the explanation content and the document length and formatting. Therefore, the system's architecture had to be modified to cope with this requirement. In addition, the system had to be made adaptable, in addition to being adaptive, in order to satisfy the elicited users' preferences
Adaptive hypertext and hypermedia : workshop : proceedings, 3rd, Sonthofen, Germany, July 14, 2001 and Aarhus, Denmark, August 15, 2001
This paper presents two empirical usability studies based on techniques from Human-Computer Interaction (HeI) and software engineering, which were used to elicit requirements for the design of a hypertext generation system. Here we will discuss the findings of these studies, which were used to motivate the choice of adaptivity techniques. The results showed dependencies between different ways to adapt the explanation content and the document length and formatting. Therefore, the system's architecture had to be modified to cope with this requirement. In addition, the system had to be made adaptable, in addition to being adaptive, in order to satisfy the elicited users' preferences
Adaptable Web content for e-learning communities
In this paper we explore an easy-to-use methodology aimed to optimise the design, construction and maintenance processes of Web-based educational material, which leverages on adaptive features to foster re-use and sharing between educational communities. Our approach is easier than those proposed by other organizations in the sense that it borrows the principal idea of describing learning material through meta-information (about properties and structures of the educational contents and the existing relationships between them), but discards the inherent complexity typical of their richer categorization schemas that may overwhelm the authors\u27 task. This simplification will favour, in our opinion, a more light-weight and more rapid production and delivery of educational content
Meta data to support context aware mobile applications
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