Automated Correction for Syntax Errors in Programming Assignments using Recurrent Neural Networks

@article{Bhatia2016AutomatedCF,
  title={Automated Correction for Syntax Errors in Programming Assignments using Recurrent Neural Networks},
  author={Sahil Bhatia and Rishabh Singh},
  journal={CoRR},
  year={2016},
  volume={abs/1603.06129}
}
We present a method for automatically generating repair feedback for syntax errors for introductory programming problems. Syntax errors constitute one of the largest classes of errors (34%) in our dataset of student submissions obtained from a MOOC course on edX. The previous techniques for generating automated feedback on programming assignments have focused on functional correctness and style considerations of student programs. These techniques analyze the program AST of the program and then… CONTINUE READING
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