• DOI:10.1145/2724660.2724668
Corpus ID: 13755771

Autonomously Generating Hints by Inferring Problem Solving Policies

@article{Piech2015AutonomouslyGH,
  title={Autonomously Generating Hints by Inferring Problem Solving Policies},
  author={Chris Piech and M. Sahami and Jonathan Huang and L. Guibas},
  journal={Proceedings of the Second (2015) ACM Conference on Learning @ Scale},
  year={2015}
}

• Chris Piech, M. Sahami, +1 author L. Guibas
• Published 2015
• Computer Science
• Proceedings of the Second (2015) ACM Conference on Learning @ Scale

Exploring the whole sequence of steps a student takes to produce work, and the patterns that emerge from thousands of such sequences is fertile ground for a richer understanding of learning. In this paper we autonomously generate hints for the Code.org `Hour of Code,' (which is to the best of our knowledge the largest online course to date) using historical student data. We first develop a family of algorithms that can predict the way an expert teacher would encourage a student to make forward… Expand