AAAI
2008
13 years 9 months ago
2008
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
ICALT
2009
IEEE
13 years 10 months ago
2009
IEEE
New Technologies have been incorporated to schools as learning tools some time ago. In this paper we remark some advantages of video games as educational systems and how we can us...
ICALT
2009
IEEE
13 years 10 months ago
2009
IEEE
Nowadays, the Semantic Web technologies are exploited also in the e-learning domain in order to provide personalized and adaptive learning experiences, semantic annotation of lear...
ICALT
2009
IEEE
13 years 10 months ago
2009
IEEE
One of the factors that affect successful collaborative learning is the composition of collaborative groups. Due to the lack of intelligent grouping according to learners’ pedag...
ICALT
2009
IEEE
13 years 10 months ago
2009
IEEE
The management of groups is an essential task in collaborative learning scenarios. In a blended learning situation, in which online activities and face-to-face activities are comb...
ICALT
2009
IEEE
13 years 10 months ago
2009
IEEE
The rapid evolution and ubiquitous use of mobile devices is an historical opportunity to improve experiential interactivity in education practices to support “deep” learning. ...
ECTEL
2009
Springer
13 years 10 months ago
2009
Springer
Abstract. The following article presents a Mash-Up Personal Learning Environment called ReMashed that recommends learning resources from emerging information of a Learning Network....
ECTEL
2009
Springer
13 years 10 months ago
2009
Springer
One claim of Technology-Enhanced Learning (TEL) is to support and exploit benefits from distance learning and remote collaboration. On the other hand, several approaches to learnin...
ALT
2009
Springer
13 years 10 months ago
2009
Springer
ALT
2009
Springer
13 years 10 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...