EAGLE – EnhAnced Government LEarning
Public administrations (PA) need to cope with various challenges: new regulations, an aging workforce and the need for adopting their new technologies. Technology-enhanced learning (TEL) represents thus a sensible option notably for rural local governments (RLG) that need to keep up with such changing environments, but do have limited access to training courses. From interviews of a pre-study with RLG in 5 European countries we learnt that obstacles are mainly connected with a lack of training plans in work processes. There are deficiencies in communication and collaboration skills despite regular use of computer and mobile devices.
EAGLE’s main objective is to equip employees in RLG with a holistic training solution based on Open Educational Resources (OER) and Open Source (OS) tools, supporting learning of critical transversal skills such as ICT literacy and professional management of change situations. EAGLE outcomes include an innovative change management model for a learning-enhanced work process, a proficiency-based cross-device OER curriculum, and contextualization tools for multilingual collaboration. These will be integrated in the novel EAGLE OER Open Learning platform that includes a new OER ontology for public administration and combines open data and learning platforms feeding into user services, argumentation technology tool and semantic search. Our solution will thus support OS business models for the benefit of technology and e-learning providers. It will be built on existing OS tools and frameworks, IEEE OER standards and the CKAN open data standards. The EAGLE consortium includes leaders in European OER, TEL, online assessment, mobile learning and e-government research as well as experts in organisational and pedagogical development, semantic web systems and services for PA. EAGLE will significantly advance the state-of-the-art in PA learning and introduce the technology through our validation and associated partners in real-life RLG environments.
Project budget: 3.2M EUR