Intuitive understanding of system dynamics concepts
Posted: Wed Apr 09, 2003 2:05 pm
Dear all,
My research concerns the intuitive understanding of system dynamics concepts. I focus on the way people grasp the dynamic behavior of model structures. The questions I present students are of the form: "Given a static description of a systems structure (a causal loop diagram + natural language story), draw a graph describing the behavior of a certain variable". The required qualitative graph may be of exponential growth, goal seek, S-shaped growth ect.
In particular I contrast continuous models with hybrid models (continuous+discrete). I present two groups of students with two types of models describing similar phenomenon: a continuous (causal loops diagrams only) and a hybrid (causal loop diagrams + finite state machine). Then I compare their performance in drawing graphs and answering questions for each case.
I will be grateful for any information concerning
1.. studies on the pedagogical value of causal loop diagrams (besides Richardson 86, 97; Sterman 2000)
2.. studies on cognitive aspects of deriving dynamics from static structures (besides Sterman&Sweeney)
3.. cases where hybrid modeling is applied to social systems
4.. any comments concerning the research
Thanks,
Tzur Levin levintzu@post.tau.ac.il
Tel Aviv University, Israel
My research concerns the intuitive understanding of system dynamics concepts. I focus on the way people grasp the dynamic behavior of model structures. The questions I present students are of the form: "Given a static description of a systems structure (a causal loop diagram + natural language story), draw a graph describing the behavior of a certain variable". The required qualitative graph may be of exponential growth, goal seek, S-shaped growth ect.
In particular I contrast continuous models with hybrid models (continuous+discrete). I present two groups of students with two types of models describing similar phenomenon: a continuous (causal loops diagrams only) and a hybrid (causal loop diagrams + finite state machine). Then I compare their performance in drawing graphs and answering questions for each case.
I will be grateful for any information concerning
1.. studies on the pedagogical value of causal loop diagrams (besides Richardson 86, 97; Sterman 2000)
2.. studies on cognitive aspects of deriving dynamics from static structures (besides Sterman&Sweeney)
3.. cases where hybrid modeling is applied to social systems
4.. any comments concerning the research
Thanks,
Tzur Levin levintzu@post.tau.ac.il
Tel Aviv University, Israel