Constructivist Design for Interactive Machine Learning

@article{Sarkar2016ConstructivistDF,
  title={Constructivist Design for Interactive Machine Learning},
  author={Advait Sarkar},
  journal={Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems},
  year={2016}
}
  • Advait Sarkar
  • Published 7 May 2016
  • Computer Science
  • Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems
Interactive machine learning systems allow end-users, often non-experts, to build and apply statistical models for their own uses. Constructivism is the view that learning occurs when ideas and experiences interact. I argue that the objectives of interactive machine learning can be interpreted as constructivist. By so characterising them, I show how constructivist learning environments pose critical questions for the design of interactive machine learning systems. 
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