Question Generation for Adaptive Education

@article{Srivastava2021QuestionGF,
  title={Question Generation for Adaptive Education},
  author={Megha Srivastava and Noah D. Goodman},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.04262}
}
Intelligent and adaptive online education systems aim to make high-quality education available for a diverse range of students. However, existing systems usually depend on a pool of hand-made questions, limiting how fine-grained and open-ended they can be in adapting to individual students. We explore targeted question generation as a controllable sequence generation task. We first show how to fine-tune pre-trained language models for deep knowledge tracing (LM-KT). This model accurately… 

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