Scientific journal paper Q1
Expanding model transparency and learning potential through structural and behavioural debriefings
Carlos Capelo (Capelo, C.); Renato Pereira (Pereira, R.); João Manuel Macedo Ferreira Dias (Dias, J. F.);
Journal Title
Systems Research and Behavioral Science
Year (definitive publication)
N/A
Language
English
Country
United States of America
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Abstract
Simulation-based learning environments have been recommended by researchers as educational tools to support learning in complex domains. However, studies have evidenced that subjects may nevertheless have great difficulty understanding and managing dynamic systems, with several assertions are being made regarding the impact of employing transparent model simulations on learning and performance outcomes. This research, therefore, examines the moderating impacts of structural and behavioural debriefings, which are concentrated respectively on critical variables and relations, and on the connection between model structure, action patterns and system behaviour. We propose a series of hypotheses regarding the impact of model transparency and prior debriefing conditions on participants' performance and their comprehension of the system dynamics. Three out of the six hypotheses were validated: prior structural debriefing alongside model transparency positively impacts performance; prior behavioural debriefing, when combined with model transparency and prior structural debriefing, positively impacts both the comprehension of model dynamics and performance.
Acknowledgements
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Keywords
Business simulation,Model transparency,Simulation debriefing,Simulation-based learning,System dynamics
  • Computer and Information Sciences - Natural Sciences
  • Economics and Business - Social Sciences
  • Other Social Sciences - Social Sciences
Funding Records
Funding Reference Funding Entity
UIDB/00315/2020 Fundação para a Ciência e a Tecnologia