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文章基本信息

  • 标题:Scalable Use of Big Data Analytics in Small Group Learning
  • 本地全文:下载
  • 作者:David Topps ; Michelle Cullen
  • 期刊名称:MedEdPublish
  • 电子版ISSN:2312-7996
  • 出版年度:2019
  • 卷号:8
  • 期号:2
  • 页码:1-13
  • DOI:10.15694/mep.2019.000138.1
  • 出版社:Association for Medical Education in Europe (AMEE)
  • 摘要:The principles of big data analytics consist of more than Volume. Based on our approaches to the use of hybrid natural language processing and the underlying learning analytics afforded by the these techniques, we examine how big data analytic approaches can be applied to small groups of learners. We describe a number of techniques, including the use of Sentiment Analysis and how this can be used to more richly inform the learning cycle.
  • 关键词:learning analytics; precision education; virtual scenarios; therapeutic language; sentiment analysis; cognitive computing
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