The objective of the ELENA project is to demonstrate the feasibility of smart spaces for learning. Smart learning spaces are defined as educational service mediators, which allow the consumption of heterogeneous learning services via assessment tools, learning management systems, educational (meta) repositories and live delivery systems such as video conferencing systems or iTV. Central design element of the ELENA smart learning space is a dynamic learner profile, which includes learning history, learner ecific information and learning goals. Interconnecting learning services in a smart learning space leads to an empowerment of learners since they become capable of choosing among a variety of knowledge sources in order to achieve their personal learning ols. ELENA prepares the grounds for the rise of educational service markets and new service value chains, which will allow institutions to treat the performance of educational services as a make-or-buy decision.
- To analyse existing standards for modelling learning-relevant data beyond learning objects and to provide recommendations for their further development;
- To develop schemas describing educational services such as educational activities, learning delivery, teaching assessment and learner assessment;
- To design and implement a smart space for learning that integrates heterogeneous services such as assessment services, content brokerage, learning management and human resources management;
- To test the applicability of smart spaces to the field of education and training from a business and organizational perspective and draw conclusions for the design of intelligent environments in this field;
- Develop best practice guidelines for deploying smart learnig spaces from an organizational, technological and pedagogical perspective.
DESCRIPTION OF WORK
ELENA will achieve its project objectives through the following 8 workpackages (WPs):
WP1 - Service Definition will specify the required functionality. Based on usage scenarios and user guidelines, WP1 will guide implementation.
WP2 - Semantic Modelling deals with the development of schemas and protocols for learning services, contributing to the evolvement of standards in the field.
WP3 - Learning Services Network Implementation is in charge of developing a learning network based on peer-to-peer technolo which will allow learning-related systems to become fully interoperable.
WP4 - Smart Space Implementation will further develop the integration work in order to implement a smart learning space which will be driven by a dynamic user profiling taking advantage of dispersed user information and semantically rich learning service definitions.
WP5 - Service Trials and User Validation will trial the service mediator and provide input for further improvements. Particular emphasize will be put on interoperability tests. The development of best practice guidelines for the deployment of smart learning spaces will be a main result.
WP6 - Marketing, Dissemination and Exploitation will focus on the dissemination of the technology produced. Typical activities involve pesetations at conferences, identifying the target audience and gathering input for service definition. As a result of these activities a draft business plan for a smart space will be produced.
WP7 - Project Management is designed to ensure that outputs and processes of the project are delivered on time, at budget and with the highest quality. WP7 is divided into technical and commercial project management.
WP8 - Project Evaluation will provide a quasi-independent assessment of the activities of all parts of the project against the defined objectives.
Funding SchemeCSC - Cost-sharing contracts
15310 Aghia Paraskevi Attikis