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DIOGENE is an EC funded project under the 5th Framework Programme - Information Society
Technologies (contract IST-2001-33358). The main project objective is to design, implement and evaluate
with real users an innovative training Web brokering environment for ICT individual training (but based upon
a domain-independent platform). This environment will be able to support learners during the whole cycle
of the training, from the definition of objectives to the assessment of results, through the construction
of custom self-adaptive courses.
The system will use several state-of-the-art technologies, such as: metadata and ontologies for knowledge
manipulation, fuzzy learner modelling, intelligent course tailoring, co-operative and online training support.
In addition, it will include a set of innovative features, including: dynamic learning strategies, Semantic
Web openness, Web services for Learning Object handling and property rights management, Curriculum Vitae
generation and searching facilities, free-lance teacher support, and assisted definition of Learning
Objectives.
The system will be accessible through the Web exploiting an ASP methodology. Once inside Diogene, a learner
can select a particular set of topics from an ontology of arguments and let the system arrange a personalised
self-adaptive course about these topics (personalisation will be based on learner profiling).
In addition, the system will be able to:
Enable free-lance teachers to subscribe to Diogene and to describe (in a formal way) their professional
abilities. In this way, teachers would be considered as "learning resources" which can be exploited by
students requesting guidance during the learning process.
Individuate learners with similar needs and/or profiles and provide them with a co-operative environment
to support social interactions, mentoring and the exchange of information. The same environment will be
used to interface free-lance teachers with their students, synchronously and asynchronously.
Apply a learner model based on an emerging standard format (e.g. PAPI, LIP, etc) to represent learner-assessed
achievements and obtain, for each learner, a sort of electronic CV, which will be published with respect to
privacy requirements. A CV search engine will then be developed, which allows third parties to search for
qualified professionals.
Apply sound learning strategies, with respect to the Web, based on individual needs and learning styles,
and provide the ability to automatically improve such strategies by exploiting information about knowledge
assessments before and after training experiences.
An important feature of Diogene will be the possibility to use high quality contents from registered content
providers' servers and freeware contents drawn directly from the Web, in the dynamic course composition process.
This latter feature will be enabled by exploiting the power of the Web of the next generation (the Semantic Web),
as announced by the W3C. Thanks to the annotation of Web pages with XML tags, online digital contents can be
described formally in a machine intelligible fashion.
In order to test Diogene's capabilities, six high quality courses will be implemented by project partners:
Object oriented analysis and design based on UML, XML, Professional engineering process improvement training,
Increasing Organisational Performance with the Balanced IT Scorecard, Digital images for multimedia, and
Video for the Web.
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Introduction
 English
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