Modeling for Learning in Public Administrations—The Learn PAd Approach

Autor: Robert Woitsch, Guglielmo De Angelis, Barbara Thönssen, Alfonso Pierantonio, Andrea Polini, Barbara Re
Rok vydání: 2016
Předmět:
Zdroj: Domain-Specific Conceptual Modeling ISBN: 9783319394169
Domain-Specific Conceptual Modeling
Domain-Specific Conceptual Modeling: Concepts, Methods and Tools, edited by Karagiannis, D.; Heinrich, C. M.; Mylopoulos J., pp. 575–594, 2016
info:cnr-pdr/source/autori:De Angelis G.; Pirantonio A.; Polini A.; Re B.; Thönssen B.; Woitsch R./titolo:Modeling for learning in public administrations-The learn PAd approach/titolo_volume:Domain-Specific Conceptual Modeling: Concepts, Methods and Tools/curatori_volume:Karagiannis, D.; Heinrich, C. M.; Mylopoulos J./editore:/anno:2016
DOI: 10.1007/978-3-319-39417-6_26
Popis: This chapter describes a modeling method that has been conceived to support learning in public administrations. The modeling method foresees the description of both procedures in the public administrations, and the working context of the civil servants. The approach relies on several model types that are used to organize and to relate the knowledge needed by civil servants in order to perform their daily activities. Each model instance describes a view on the concerns expressed by the model type it conforms to. These descriptions intend to provide an easy way for civil servants to retrieve knowledge when they need to learn specific aspects of a procedure, and to make collaboration easier in order to enable the emergence of knowledge related to the procedures themselves. Indeed, the method comes with an infrastructure that allows to automatically set up a wiki-based collaborative platform enabling collaboration and knowledge sharing among the stakeholders involved in the activities of a Public Administration. This chapter mainly reports on the modeling method that was conceived and developed within the FP7 EU research project Learn PAd. Learning aspects, while clearly relevant for the project, will not be directly discussed here.
Databáze: OpenAIRE