Conference paper Open Access

Business process oriented learning: a collaborative approach of organisational learning

Woitsch, Robert; Efendioglu, Nesat


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{
  "description": "<p>Process Oriented Training and Learning can be applied in two different approaches: (a) processes describing the methodology of training and learning as well as (b) processes describing the organizational context that need to be learned. This paper intrudes the results of the EU project Learn PAd that developed prototypes of modelling tools enabling business processes for learning and training. Flexibility of business processes have been introduced with case management and knowledge artefacts of PROMOTE had been integrated to provide a complete modelling environment fulfilling the identified 101 requirements for the modelling language. The local deployment and the Web-based deployment of the developed prototypes are introduced and the development space that enables collaborative participation of the development and improvement of the prototypes on ADOxx.org is introduced.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "BOC Asset Management GmbH", 
      "@type": "Person", 
      "name": "Woitsch, Robert"
    }, 
    {
      "affiliation": "BOC Asset Management GmbH", 
      "@type": "Person", 
      "name": "Efendioglu, Nesat"
    }
  ], 
  "headline": "Business process oriented learning: a collaborative approach of organisational learning", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2015-10-21", 
  "url": "https://zenodo.org/record/167838", 
  "keywords": [
    "Meta Modelling", 
    "Modelling Method Development", 
    "Process-Oriented Learning"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1145/2809563.2809578", 
  "@id": "https://doi.org/10.1145/2809563.2809578", 
  "@type": "ScholarlyArticle", 
  "name": "Business process oriented learning: a collaborative approach of organisational learning"
}
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