Conditions, Requirements, and Guidelines to a Universal, Integrative Model of Digitally Operable Competence Representations
Autor(en):
Zusammenfassung
This paper addresses the strategic need to define and establish a global digital infrastructure for a distributed, integrative competence management system. It summarizes and details hitherto research and conception of the author since 2004 and intends to blaze a trail for future strategic research transversal to disciplines, contexts, and stakeholders. Essential element of this system is an operative, distributed, pervasive, and semantic competence representation model. Conditions for such a model are described using a competence definition, a reference model with a framework of system functions, and a plan for further activities. Functional requirements regarding type and composition of a representation model are analyzed, and guidelines for a model proposed.
- Vollständige Referenz
- BibTeX
Dahlmeyer, M. P.,
(2019).
Conditions, Requirements, and Guidelines to a Universal, Integrative Model of Digitally Operable Competence Representations.
In:
Schulz, S.
(Hrsg.),
Proceedings of DELFI Workshops 2019.
Bonn:
Gesellschaft für Informatik e.V.z.
(S. 111).
DOI: 10.18420/delfi2019-ws-113
@inproceedings{mci/Dahlmeyer2019,
author = {Dahlmeyer, Matthias Patrick},
title = {Conditions, Requirements, and Guidelines to a Universal, Integrative Model of Digitally Operable Competence Representations},
booktitle = {Proceedings of DELFI Workshops 2019},
year = {2019},
editor = {Schulz, Sandra} ,
pages = { 111 } ,
doi = { 10.18420/delfi2019-ws-113 },
publisher = {Gesellschaft für Informatik e.V.z},
address = {Bonn}
}
author = {Dahlmeyer, Matthias Patrick},
title = {Conditions, Requirements, and Guidelines to a Universal, Integrative Model of Digitally Operable Competence Representations},
booktitle = {Proceedings of DELFI Workshops 2019},
year = {2019},
editor = {Schulz, Sandra} ,
pages = { 111 } ,
doi = { 10.18420/delfi2019-ws-113 },
publisher = {Gesellschaft für Informatik e.V.z},
address = {Bonn}
}
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