A number of authors believe that wrong models can be useful, providing learning opportunities for their users. This paper details an experiment on model complexity, investigating differences in learning after using a simplified versus an adequate version of the same model. Undergraduate students were asked to solve a resource utilization task for an ambulance service. The treatment variables were defined as the model types used (complex, simple, and no model). Two questionnaires (before and after the process) and a presentation captured participants' attitudes towards the solution. Results suggest differences in learning were not significant, while simple model users demonstrated a better understanding of the problem. This paper consists of...
Little is known about models deemed ”wrong” by their modellers or clients in Operational Research (O...
Simulation studies; building blocks; transportation systems; decision support Many logistic problems...
Little is known about models deemed ”wrong” by their modellers or clients in Operational Research (O...
This thesis addresses the idea that even "wrong" models in the field of Operational Research (OR) an...
Simple models are considered useful for decision making, especially when decisions are made by a gro...
Discussion of learning from discrete-event simulation often takes the form of a hypothesis stating t...
It is often stated that involving the client in operational research studies increases conceptual le...
It is often stated that involving the client in operational research studies increases conceptual le...
It is often stated that involving the client in operational research studies increases conceptual le...
AbstractIt is often stated that involving the client in operational research studies increases conce...
Discussion of learning from discrete-event simulation often takes the form of a hypothesis stating t...
Discussion of learning from discrete-event simulation often takes the form of a hypothesis stating t...
Learning from computer models is a promising approach to learning. This study investigated how three...
Learning from computer models is a promising approach to learning. This study investigated how three...
Over the past decade, a variety of user models have been proposed for user simulation-based reinforc...
Little is known about models deemed ”wrong” by their modellers or clients in Operational Research (O...
Simulation studies; building blocks; transportation systems; decision support Many logistic problems...
Little is known about models deemed ”wrong” by their modellers or clients in Operational Research (O...
This thesis addresses the idea that even "wrong" models in the field of Operational Research (OR) an...
Simple models are considered useful for decision making, especially when decisions are made by a gro...
Discussion of learning from discrete-event simulation often takes the form of a hypothesis stating t...
It is often stated that involving the client in operational research studies increases conceptual le...
It is often stated that involving the client in operational research studies increases conceptual le...
It is often stated that involving the client in operational research studies increases conceptual le...
AbstractIt is often stated that involving the client in operational research studies increases conce...
Discussion of learning from discrete-event simulation often takes the form of a hypothesis stating t...
Discussion of learning from discrete-event simulation often takes the form of a hypothesis stating t...
Learning from computer models is a promising approach to learning. This study investigated how three...
Learning from computer models is a promising approach to learning. This study investigated how three...
Over the past decade, a variety of user models have been proposed for user simulation-based reinforc...
Little is known about models deemed ”wrong” by their modellers or clients in Operational Research (O...
Simulation studies; building blocks; transportation systems; decision support Many logistic problems...
Little is known about models deemed ”wrong” by their modellers or clients in Operational Research (O...