Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V., 2021, 1-22
Successfully developing workplace-related skills using digital assistance systems

Bibtex

@Article{,
 year    = "2021", 
   
  journal    = "Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V.", 
  pages    = "1-22", 
  title    = "Successfully developing workplace-related skills using digital assistance systems ", 
  author    = "Prof. Dr.-Ing. Prof. e. h. Wilhelm Bauer 
Fraunhofer Institute for Industrial Engineering IAO Stuttgart 
M.A. Maike Link 
Fraunhofer Institute for Industrial Engineering IAO Stuttgart 
M.A. Walter Ganz 
Fraunhofer Institute for Industrial Engineering IAO Stuttgart 
", 
  doi    = "https://doi.org/10.30844/wgab_2021_1", 
  abstract    = "An important aspect for companies in dealing with the demands of the working world is the continuous and requirement-specific further training of employees. The possibility of workplace-related learning has a major importance in this context. In this context, digital assistance systems can be used to provide targeted support for the learning process.
This paper presents current research findings from the funding priority "Work in the Digitalized world" on the use of digital assistance systems for competence development as well as on relevant design criteria for the development and implementation of workplace-related learning assistance systems. 
In addition, the article explores the question of what role artificial intelligence (AI) can play as a learning technology in in-house further training. In this context, the article highlights the challenges and associated design options for AI-supported learning in the process of work. 
Finally, the development and design of symbiotic interaction (human-machine) will be addressed and the possibility of reciprocal learning in the interaction between humans and assistance systems will be highlighted.
", 
  
}

Abstract

Abstract

An important aspect for companies in dealing with the demands of the working world is the continuous and requirement-specific further training of employees. The possibility of workplace-related learning has a major importance in this context. In this context, digital assistance systems can be used to provide targeted support for the learning process. This paper presents current research findings from the funding priority "Work in the Digitalized world" on the use of digital assistance systems for competence development as well as on relevant design criteria for the development and implementation of workplace-related learning assistance systems. In addition, the article explores the question of what role artificial intelligence (AI) can play as a learning technology in in-house further training. In this context, the article highlights the challenges and associated design options for AI-supported learning in the process of work. Finally, the development and design of symbiotic interaction (human-machine) will be addressed and the possibility of reciprocal learning in the interaction between humans and assistance systems will be highlighted.

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