Planspiel-Literaturdatenbank des ZMS

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Treffer: 3

2018
Bursens, Peter; Donche, Vincent; Gijbels, David; Spooren, Pieter (2018): Simulations of Decision-Making as Active Learning Tools. Design and Effects of Political Science Simulations. Schweiz: Springer International Publishing AG 2018

Abstract: This volume brings together both political and educational scientists. While educational research literature has so far not systemically addressed the tool of simulations of decision-making, political scientists have hardly used insights from research on assessment or non motivation and interest of students. ...

Keywords: Active, Decision-Making, Simulation, Simulations, science, Learning, Political, Tools
Hamada, Ryoju; Kaneko, Tomomi; Hiji, Masahiro (2018) : Development of BASE Manufacturing Business Board Game In: Lukosch, Heide; Bekebrede, Geertje; Kortmann, Rens (Hg.): Simulation Gaming: Application for Sustainable Cities and Smart Infrastructures: 48th International Simulation and Gaming Association Conference, ISAGA 2017: Cham, Switzerland: Springer International Publishing AG, S. 34-40

Abstract: The authors developed a board business game of manufacturing
called BASE Manufacturing Game (BMG) to provide an opportunity to learn
business for engineers. The purpose of development includes management,
accounting, and to increase learner's motivation for further studies. By using
Questionnaires, the authors proved incredible teaching effectiveness. BMG is a
standard for following BASE business games and authors have been continuing
board development in Japan and Thailand.

Keywords: Active, BASE, Business, Manufacture, Education, Board, Learning, Game, Engineering
Motzev, Mihail (2018) : A Framework for Developing Multi-Layered Networks of Active Neurons for Simulation Experiments and Model-Based Business Games Using Self-Organizing Data Mining with the Group Method of Data Handling In: Lukosch, Heide; Bekebrede, Geertje; Kortmann, Rens (Hg.): Simulation Gaming: Application for Sustainable Cities and Smart Infrastructures: 48th International Simulation and Gaming Association Conference, ISAGA 2017: Cham, Switzerland: Springer International Publishing AG, S. 191-199

Abstract: Artificial Neural Networks make it possible to develop faster modelbased
business games, but in general, they are neither easy to develop nor easy
to understand. This paper presents a highly automated framework for developing
Multi-Layered Networks of Active Neurons for simulation experiments and
model-based business games using self-organizing data mining with the Group
Method of Data Handling. It discusses some of the results from international
research done in Europe, Australia, and most recently at Walla Walla University
in College Place, Washington, USA.

Keywords: Data, Group, Active, Handling, (MLNAN), (ANNs), Neurons, Business, Networks, Artificial, of, Multi-Layered, Simulations, Method, Model-based, games, Neural, (GMDH)

2018