Technik & Wissen


Scalable & cost-effective facilitation of professional identity transformation in public employment services

EmployID aimed to support and facilitate the learning process of Public Employment Services (PES) practitioners in their professional identity transformation process. In order to perform successfully in their job they needed to acquire a set of new and transversal skills, develop additional competencies, as well as embed a professional culture of continuous improvement. EmployID offered efficient use of technologies to provide advanced coaching, reflection and networking services.

Based on adult learning theories, the project focused 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 included:

(1) e-coaching tools that made coaching processes more efficient and enabled peers to develop coaching skills,

(2) reflection tools that integrated into coaching processes and supported on-going conversation across contexts,

(3) novel networking and facilitation tools that supported 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 were integrated into existing learning and training infrastructures, such as existing LMS. Privacy aspects were addressed carefully by appropriate technical and organizational means.

The EmployID framework helped 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 supported the development of a performance improvement culture. Our holistic approach was targeting professional identity transformation on an individual, network and organisational level.


Bereich: Technik & Wissen



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Typ: Forschung

Programm: FP7-ICT-Technology Enhanced Learning

Projekt Status: Abgeschlossen

Von/Bis: 02/2014 - 04/2018

Laufzeit: 51 Monate