In this paper we detail a preliminary model for reasoning about annotating learning objects and intelligently showing annotations to users who will benefit from them. Student inter...
The aim of the present paper is to discuss the achievements and the drawbacks of the integration of LMS (learning management systems) with the cooperative tools of the Web 2.0 thr...
In this paper, we review five heuristic strategies for handling context-sensitive features in supervised machine learning from examples. We discuss two methods for recovering lost...
We report our work in progress in the area of music intelligent tutoring systems (MITS). We discuss the motivation behind the design of GUI that aim to support an interactive lear...
In the context of machine learning from examples this paper deals with the problem of estimating the quality of attributes with and without dependencies among them. Kira and Rendel...