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ATutor is an Open Source Web-based learning environment that has accessibility as a guiding development principle. From its beginning, ATutor was created to fill a need for an accessible network-based Learning Management System (LMS) [2] [3]. Continuing with its attention to accessibility, ATutor adds the first implementation of the ISO FDIS 24751 [4](More)
We describe a collaborative annotation system for the production of rich media e-learning contents. Our system exploits a wiki-like interface that allows cooperative users to enrich didactical multimedia lectures with additional information, such as captions, annotations and comments. Before delivering them to users, these additional contents are(More)
Contrary to what commonly thought, profiling users and devices is still a complex issue, especially in the case of learners with special needs, who deserve a customized access to e-learning platforms. A plethora of languages, protocols and tools have been proposed which can be exploited to create users' and devices' profiles, separately. Unfortunately, none(More)
The Internet is turning into a participating community where consumers and producers of resources merge into <i>"prosumers"</i>, dialectically sharing their knowledge, their interests and needs. This Web 2.0 archetype is now strongly impacting on e-learning methodologies and technologies, by enforcing the participation of students in creating and sharing(More)
The large diffusion of e-learning technologies represents a great opportunity for underserved segments of population. This is particularly true for people with disabilities for whom digital barriers should be overstepped with the aim of reengaging them back into society to education. In essence, before a mass of learners can be engaged in a collective(More)
—This work presents a novel geospatial mapping service, based on OpenStreetMap, which has been designed and developed in order to provide personalized path to users with special needs. This system gathers data related to barriers and facilities of the urban environment via crowdsourcing and sensing done by users. It also considers open data provided by bus(More)
—This work presents mPASS (mobile Pervasive Accessibility Social Sensing), a social and ubiquitous context aware system to provide users with personalized and accessible pedestrian paths and maps. In order to collect a complete data set, our system gathers information from different sources: sensing, crowdsourcing and data produced by local authors and(More)