@incollection{Iglesias2003,
abstract = {The paper shows the architecture of the RLATES system, an Adaptive and Intelligent Educational System that uses the Reinforcement Learning model (RL) in order to learn to teach each student individually, being adapted to their learning needs in each moment of the interaction. This papers is focused on the interface module of RLATES, describing how the student could navigate through the system interface and how this interface adjusts the page contents according to the user learning needs. For this adaptation, the system changes the links appearance of the page and the presentation of the system knowledge. {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.},
author = {Iglesias, Ana and Mart{\'{i}}nez, Paloma and Fern{\'{a}}ndez, Fernando},
booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
doi = {10.1007/978-3-540-39962-9_29},
file = {:home/fernando/papers/tmp/10.1007{\%}2F978-3-540-39962-9{\_}29.pdf:pdf},
issn = {03029743},
pages = {175--184},
title = {{Navigating through the RLATES Interface: A Web-Based Adaptive and Intelligent Educational System}},
url = {http://link.springer.com/10.1007/978-3-540-39962-9{\_}29},
volume = {2889},
year = {2003}
}

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