Download e-book for kindle: Adaptive Hypermedia and Adaptive Web-Based Systems: 4th by Sean Bechhofer, Yeliz Yesilada, Bernard Horan, Carole Goble

By Sean Bechhofer, Yeliz Yesilada, Bernard Horan, Carole Goble (auth.), Vincent P. Wade, Helen Ashman, Barry Smyth (eds.)

ISBN-10: 3540346961

ISBN-13: 9783540346968

This publication constitutes the refereed complaints of the 4th foreign convention on Adaptive Hypermedia and Adaptive Web-Based structures, AH 2006, held in Dublin, eire in June 2006.

The 22 revised complete papers and 19 revised brief papers awarded including abstracts of three keynotes, 12 poster papers, and 14 doctoral consortium posters have been rigorously reviewed and chosen from 122 papers submitted. The papers specialize in pioneering theories, options, and cutting edge applied sciences to supply dynamic personalization, model, and contextualization of hypermedia assets and services.

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Additional info for Adaptive Hypermedia and Adaptive Web-Based Systems: 4th International Conference, AH 2006, Dublin, Ireland, June 21-23, 2006. Proceedings

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Reasons for this include their high cost of production, lack of credible evidence of their benefits, and limited subject matter coverage [17]. Additionally, these systems have been designed in such way that they cannot reuse or exchange educational elements, adaptive strategies, contents or adaptive rules. An alternative to solve these problems is to model predefined rules, techniques, and learning elements using the IMS Learning Design specification (IMS LD) [11]. This will emphasize the importance of instructional strategies in AEHS, and could guide the description of pedagogical approaches tailored to both students’ characteristics and knowledge properties.

Com) was exploited for extracting the features of the rated movies, such as genre, actors, directors etc. Then, the UMs mediation was accomplished through translating the collaborative ratings, of the user to whom a recommendation is to be provided, into a weighted list of liked/disliked features. The translation was based on the assumption that user's rating on a movie steadily reflect her/his preferences of the features of the movies, such as preferred genre, or director. The generated UMs served as a basis for generating content-based predictions.

J. García, and J. Carabias Table 2. e. ) in order to deliver personalized learning flows. By means of a Lego metaphor [2], ALDs aim at combining the personalization and reusability characteristics of IMS LD. Each element of IMS LD (see Fig. e. conditions)– is defined and stored as a separate object. This allows authors to reuse and interchange a complete ALD, but also each one of its elements. For instance, the learning object LO-v can be attached to the learning activity LA-w or to LA-x. Then, LA-w can be included into adaptive rule RUL-x or into RUL-y.

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Adaptive Hypermedia and Adaptive Web-Based Systems: 4th International Conference, AH 2006, Dublin, Ireland, June 21-23, 2006. Proceedings by Sean Bechhofer, Yeliz Yesilada, Bernard Horan, Carole Goble (auth.), Vincent P. Wade, Helen Ashman, Barry Smyth (eds.)


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