Type:

Other

Description:

In this paper we test the versatility of the neural network approach to modeling the dynamics of student learning. We choose a problem from an introductory physics class and we construct a neural network model for it. Based on this simulation, we argue for the future use of neural network models in Physics Education Research and what this approach can teach us about how physics learning takes place

Subjects:

  • Education > General

Education Levels:

  • Grade 1
  • Grade 6
  • Grade 8
  • Grade 9

Keywords:

Vocational/Professional Development Education,Education,NSDL,PERC 2003,Education Foundations,Undergraduate (Lower Division),modelling,Physics,Higher Education,neural nets,NSDL_SetSpec_439869,student experiments,Cognition,Life Science,teaching,Physics Education Research,electromagnetism,General Physics,Graduate/Professional,oai:nsdl.org:2200/20061003063339383T

Language:

English

Access Privileges:

Public - Available to anyone

License Deed:

Creative Commons Attribution Non-Commercial Share Alike

Collections:

None
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