We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
This paper describes an experiment to augment SCORM manifests with adaptive links using AuldLinky in order to promote content reusability, interoperability and personalized elearn...
Nor Aniza Abdullah, Christopher Bailey, Hugh C. Da...
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
Abstract. There is little doubt that intelligent and adaptive educational technologies are capable of providing personalized learning experiences and improving learning success. Cu...
Abstract. In this paper, we integrate WebML, a high-level model and technology for building server-side Web applications, with UML-Guide, a UML-based system that generates client-s...
Stefano Ceri, Peter Dolog, Maristella Matera, Wolf...