The overall objective of the Hyper-Learning project is to create an advanced e-learning system for the Humanities that will develop and enhance critical thinking skills.

Hyper-Learning consists of four integrated components: 1) Research on functional programming for complex interactive web sites; 2) Development of a distributed web platform; 3) Establishment of Virtual Collaborative Learning Communities based around 13 representative European authors and 4) Creation of an appropriate pedagogical and legal framework.

The research work will produce a programming language, that will be used first of all for the development of the web services of the Hyper-Learning Network. More generally this language, accompanied by its integrated programming environments, will permit the application of the functional approach to the development of all kinds of web applications.

The technology development component of Hyper-Learning will be implemented as:

1)     A contextualized and highly available local data repository model for the storage of Research and Learning Objects (Hyper-Learning Platform).

2)     A semi-decentralized peer-to-peer network of XML based web services and tools that collaborates in a virtual, distributed and semantically structured Hyper-Learning Network.

3)     Open source, standard, software (Hyper-Learning Server) that allows anyone to easily install, configure and maintain a node within the Hyper-Learning Network.

4)     An advanced distributed 3D engine usable to develop virtual learning environment interfaces.

The Virtual Collaborative Learning Communities will provide the necessary specifications for constructing e-learning systems that respond effectively to the exigencies of Humanities. They will also ensure that these new technologies will have an impact on the actual practices of research and teaching.

Simultaneously, they will make it possible to test the systems in sizeable field experiments and to conduct hands-on, concrete evaluations of the scalability of our distributed architecture in at least a dozen different nodes.

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