- Simon Khuvis
- Brooklyn, NY
- United States
Student B.S. Engineering, Cooper Union for the Advancement of Science and Art
This conversation is closed. Start a new conversation
or join one »
How can computer models help us build intuition?
The use of visual diagrams to explain and understand difficult concepts is as old as history itself, but in the twentieth century, for the first time, engineers and scientists were able to enlist the help of computational tools to represent systems with greater clarity and detail. While computers, with the right peripherals, are able to present data to all the senses, in two or three dimensions and through time, perhaps their greatest pedagogical virtue is their interactivity. People learn by doing: young children internalize Newton's Laws long before their first formal physics class by manipulating the world around them. Computers offer the promise of similar interactivity for systems which are less readily accessible, or even entirely esoteric. In my Bioelectricity class, for example, we have been using computer simulations of the complicated Hodgkin-and-Huxley membrane equations to gain insight into neural reactions to various experimental stimuli. How can computer models be used to learn, understand and ultimately build intuition about systems in nature and science?
Showing single comment thread. View the full conversation.
Showing single comment thread. View the full conversation.













David Wees
http://davidwees.com/classroomsim/
There is a lot of work that would need to be done to work on this simulation (it has some pretty serious bugs at this point). For example, it ignores the idea that given the right conditions, students can spontaneously discover ideas on their own (without relying on outside information necessarily) and the variables related to transmission of knowledge are incomplete. It is an unfinished attempt to look at information transfer theory as it would apply to education, and to see if we can gain any insights as to appropriate arrangements of classes (and pedagogical styles) based purely on information theory.
Obviously, I'm sharing this example as a sample of something we could attempt to use the power of computing to solve (whether we would be successful is entirely a different matter).
Andrew Kiang 50+
Samantha Massengill 50+