Few-shot Question Generation for Personalized Feedback in Intelligent Tutoring Systems. (arXiv:2206.04187v1 [cs.CL])

Existing work on generating hints in Intelligent Tutoring Systems (ITS)
focuses mostly on manual and non-personalized feedback. In this work, we
explore automatically generated questions as personalized feedback in an ITS.
Our personalized feedback can pinpoint correct and incorrect or missing phrases
in student answers as well as guide them towards correct answer by asking a
question in natural language. Our approach combines cause-effect analysis to
break down student answers using text similarity-based NLP Transformer models
to identify correct and …

arxiv feedback generation intelligent personalized systems tutoring