Addictive Links: The Motivational Value of Adaptive Link Annotation

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Speaker
Peter Brusilovsky
School of Information Sciences, University of Pittsburgh

When
-

Where
Newell-Simon Hall 1305 (Michael Mauldin Auditorium)

Description

Adaptive link annotation is a popular adaptive navigation support technology. The idea of adaptive annotation is to apply a model of user knowledge, goals, or interest to help the user in making navigation decision by producing dynamic visual cues for hypertext links. Empirical studies of adaptive annotation in the educational context have demonstrated that it can help students to acquire knowledge faster, improve learning outcome, reduce navigation overhead, and encourage non-sequential navigation. In this talk I will present our study of a rather unknown effect of adaptive annotation, its ability to significantly increase student motivation to work with non-mandatory educational content. We explored this effect and confirmed its significance in the context of two different adaptive hypermedia systems.

Brusilovsky, P., Sosnovsky, S., and Yudelson, M. (2006) Addictive links: The motivational value of adaptive link annotation in educational hypermedia. In: V. Wade, H. Ashman and B. Smyth (eds.) Proceedings of 4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH'2006), Dublin, Ireland, June 21–23, 2006, Springer Verlag, pp. 51–60, also available at http://dx.doi.org/10.1007/11768012_7.

Speaker's Bio

Peter Brusilovsky has been working in the field of adaptive hypermedia and adaptive Web-based systems for more than 15 years. He served as a co-editor of several books and a guest editor of several special journal issues on adaptive hypermedia and the adaptive Web.

He co-founded the Adaptive Hypermedia conference series and chaired several conferences and multiple workshops on adaptive hypermedia, adaptive Web-based systems, and User Modeling. Dr. Brusilovsky is a board member of several journals, and a co-editor of Technology, Instruction, Cognition, and Learning. He is also the current President of User Modeling Inc., a professional society of user modeling researchers.

Speaker's Website
http://www2.sis.pitt.edu/~peterb/