By Gareth J. F. Jones (auth.), Andreas Nürnberger, Marcin Detyniecki (eds.)
This booklet is a longer choice of contributions that wereoriginally subm- ted to the first overseas Workshop on Adaptive Multimedia Retrieval (AMR 2003), which used to be geared up as a part of the twenty sixth German convention on Arti?cial Intelligence (KI 2003),and held in the course of September 15–18,2003at the collage of Hamburg, Germany. encouraged through the general luck of the workshop – as published through the stimulating surroundings throughout the workshop and the variety of very and energetic contributors – we ?nally made up our minds to edit a booklet in response to revised papers that have been before everything submitted to the workshop. moreover, we invited a few extra introductory contributions on the way to be ready to supply a conclusive publication on present issues within the quarter of adaptive multimedia retrieval platforms. we are hoping that we have been capable of prepare a stimulating choice of articles for the reader. we love to thank the organizationcommittee of the twenty sixth German convention on Arti?cial Intelligence (KI 2003) for offering the surroundings and the admin- trative aid in figuring out this workshop as a part of their software. in particular, we love to thank Christopher Habel for selling the workshop as a part of the convention application and Andreas Gun ¨ ther for his sort aid in the course of the association process.
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Additional resources for Adaptive Multimedia Retrieval: First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers
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A. Nürnberger and M. ): AMR 2003, LNCS 3094, pp. 36–57, 2004. © Springer-Verlag Berlin Heidelberg 2004 Building User Models from Observations 37 Even so, this type of information is clearly of great potential value in modelling learners as a basis for improved teaching. This is reflected in the emerging interest in converting such data into forms that a teacher might use to improve the teaching. For example, one approach is to provide a visualisation that summarises the large amount of data in a useful form .
Adaptive Multimedia Retrieval: First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers by Gareth J. F. Jones (auth.), Andreas Nürnberger, Marcin Detyniecki (eds.)