scholarly journals Adaptive navigation support with public displays

Author(s):  
Christian Kray ◽  
Gerd Kortuem ◽  
Antonio Kr�ger
Author(s):  
Almed Hamzah ◽  
Kurniawan Dwi Irianto

The use of technology has been widely used for many people in every aspect of life and become part of daily activities in recent years. One of technology application is in the learning and education process. Adaptive Navigation Support (ANS) is a method and part of a hypermedia study that can boost the performance of students by using the benefit of technology. With ANS, students are able to make the learning process more interesting as the learning material relatively corresponds to their knowledge and preferences. Furthermore, ANS can guide students in finding their paths and ways in hyperspace based on student requirements, goals, and characteristics. Therefore, ANS has caught many researchers attention in their studies to improve student skills and performance in the learning process. Many papers, discussed in ANS, have been published over the last decade, however, no one has studied the ANS in a comprehensive way. This paper is a literature review in ANS and its application as well as its implication in the learning process. There are fourty-nine papers as its source of analysis. Our findings show that the applications of ANS can be classified into four dimensions, such as platform, use case, impact, and process. These classifications are based on the study of ANS applications and implications over the last decade.


Author(s):  
Susan Bull ◽  
Norasnita Ahmad ◽  
Matthew Johnson ◽  
Rasyidi Johan ◽  
Andrew Mabbott ◽  
...  

Author(s):  
Eelco Herder ◽  
Betsy van Dijk

The analysis of the structure of Web sites and patterns of user navigation through these sites is gaining attention from different disciplines, as it enables unobtrusive discovery of user needs. In this chapter we give an overview of models, measures, and methods that can be used for analysis purposes as well as for user-adaptive navigation support. Specific attention is given to the problem of identifying users getting lost. We conclude with a discussion on various personalised navigation aids that benefit from the techniques presented in this chapter.


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