Corpus ID: 220265869

Learning to Read through Machine Teaching

@article{Sen2020LearningTR,
  title={Learning to Read through Machine Teaching},
  author={Ayon Sen and Christopher R. Cox and Matthew Cooper Borkenhagen and Mark S. Seidenberg and Xiaojin Zhu},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.16470}
}
  • Ayon Sen, Christopher R. Cox, +2 authors Xiaojin Zhu
  • Published 2020
  • Computer Science, Mathematics
  • ArXiv
  • Learning to read words aloud is a major step towards becoming a reader. Many children struggle with the task because of the inconsistencies of English spellingsound correspondences. Curricula vary enormously in how these patterns are taught. Children are nonetheless expected to master the system in limited time (by grade 4). We used a cognitively interesting neural network architecture to examine whether the sequence of learning trials could be structured to facilitate learning. This is a hard… CONTINUE READING

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