The Use of Data Science for Education: the Case of Social-emotional Learning

  • 2 January 2017
  • Blog
  • Publisher : Springer Open
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This blog post explores the role of data science in enhancing social-emotional learning (SEL) within educational settings. By analysing behavioural and emotional data, it highlights how predictive analytics can support early identification of students needing intervention. The post discusses the development of data-driven tools to monitor emotional wellbeing and inform personalised SEL programs. It also considers ethical considerations in collecting and using sensitive student data. The case exemplifies how integrating SEL metrics into data science practices can improve holistic education outcomes and foster emotionally intelligent learning environments.

Author(s) :

Ming-Chi Liu & Yueh-Min Huang

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Health and Wellbeing

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