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Supporting Competency Development in Informal Workplace Learning

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Professional Knowledge Management (WM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3782))

Abstract

This paper seeks to suggest ways to support informal, self-directed, work-integrated learning within organizations. We focus on a special type of learning in organizations, namely on competency development, that is a purposeful development of employee capabilities to perform well in a large array of situations. As competency development is inherently a self-directed development activity, we seek to support these activities primarily in an informal learning context. AD-HOC environments which allow employees context specific access to documents in a knowledge repository have been suggested to support learning in the workplace. In this paper, we suggest to use the competence performance framework as a means to enhance the capabilities of AD HOC environments to support competency development. The framework formalizes the tasks employees are working in and the competencies needed to perform the tasks. Relating tasks and competencies results in a competence performance structure, which structures both tasks and competencies in terms of learning prerequisites. We conclude with two scenarios that make use of methods established in informal learning research. The scenarios show how competence performance structures enhance feedback mechanisms in a coaching process between supervisor and employee and provide assistance for self directed learning from a knowledge repository.

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Ley, T., Lindstaedt, S.N., Albert, D. (2005). Supporting Competency Development in Informal Workplace Learning. In: Althoff, KD., Dengel, A., Bergmann, R., Nick, M., Roth-Berghofer, T. (eds) Professional Knowledge Management. WM 2005. Lecture Notes in Computer Science(), vol 3782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590019_22

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  • DOI: https://doi.org/10.1007/11590019_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30465-4

  • Online ISBN: 978-3-540-31620-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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