Project description
Technology-enhanced learning
EmployID aims to support and facilitate the learning process of Public Employment Services (PES) practitioners in their professional identity transformation process. To perform successfully in their job they need to acquire a set of new and transversal skills, develop additional competencies, as well as embed a professional culture of continuous improvement. EmployID will offer efficient use of technologies to provide advanced coaching, reflection and networking services. Based on adult learning theories, the project focuses on technology developments that make facilitation services for professional identity transformation cost-effective and sustainable by empowering the individual to engage in peer learning and facilitation. This will include (1) e-coaching tools that make coaching processes more efficient and enables peers to develop coaching skills, (2) reflection tools that integrate into coaching processes and support on-going conversation across contexts, (3) novel networking and facilitation tools that support individuals in becoming effective facilitators for the learning of others, and (4) flexible scorecard visualizations as a form of workplace learning analytics, partially fed by data collected from the user activities and feedback. These new tools will integrate into existing learning and training infrastructures, such as existing LMS. Privacy aspects will be addressed carefully by appropriate technical and organizational means. The EmployID framework will help PES practitioners to become self-directed learners and competent in their job counselling and PES organisations in effectively managing the up-skilling of their staff. A comprehensive and empirically validated indicator framework for PES organizations adaptable to their needs will support the development of a performance improvement culture. Our holistic approach is targeting professional identity transformation on an individual, network and organisational level.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2013-11
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
1150 Wien
Austria
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.