Predicting Contextual Informativeness for Vocabulary Learning.

Adam Kapelner, Jeanine Soterwood, Shalev Nessaiver,Suzanne Adlof

IEEE Transactions on Learning Technologies(2018)

引用 7|浏览5
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摘要
Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts informativeness of a context for target words that span ...
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关键词
Vocabulary,Predictive models,Education,Databases,Software,Pediatrics
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