Marco Ronchetti

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Synchronous collaborative navigation is a form of social navigation where users virtually share a web browser. In this paper, we present a symmetric, proxy-based architecture where each user can take the lead and guide others in visiting web sites, without the need for a special browser or other software. We show how we have applied this scheme to a(More)
The paper presents Porta-bile, a project under development in our University that intends to investigate the use of mobile computing technologies to support the learning processes in an educational context. The project focuses on the technological aspects of mobile learning, and on their integration with e-Learning systems, and more generally, with the(More)
PURPOSE Virtual Reality (VR) platforms gained a lot of attention in the rehabilitation field due to their ability to engage patients and the opportunity they offer to use real world scenarios. As neglect is characterized by an impairment in exploring space that greatly affects daily living, VR could be a powerful tool compared to classical paper and pencil(More)
The paper aims to describe in some details a system called Mobile Eldit (m-Eldit) that is under development at the University of Trento, Italy. It is a mobile version that can be accessed from mobile devices like PDAs, of an existing language learning platform, developed at the European Academy of Bolzano, Italy. The paper also gives description of the(More)
Synchronous collaborative navigation is a form of social navigation where users virtually share a web browser. We developed a system based on a symmetric, proxy-based architecture with the intent of using synchronous navigation to support collaborative problem-solving-oriented e-learning, and to allow investigating the nature of collaboration. This paper(More)
Predicting overall student performance and monitoring progress have attracted more attention in the past five years than before. Demographic data, high school grades and test result constitute much of the data used for building prediction models. This study demonstrates how data from a peer-assessment environment can be used to build student progress(More)