A Taxonomy for Teacher-Actionable Insights in Learning Analytics

Authors

  • Elizabeth KOH National Institute of Education, Nanyang Technological University, Singapore Author
  • Jennifer Pei-Ling TAN National Institute of Education, Nanyang Technological University, Singapore Author

Abstract

In the field of learning analytics (LA), actionable insight from LA designs tends to be a buzzword without clear understandings. As the teacher is a key stakeholder, what teacher-actionable insights can be derived from LA designs? Towards providing greater clarity on this issue, we concretize a taxonomy of LA decision support for teacher-actionable insights in student engagement. Four types of decision support are conceived in this taxonomy with relevant teacher implications. Through this taxonomy, we hope to offer possible pathways for actionable insight in LA designs and make clearer the role of the teacher.

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Published

2017-12-04

How to Cite

A Taxonomy for Teacher-Actionable Insights in Learning Analytics. (2017). International Conference on Computers in Education. http://library.apsce.net/index.php/ICCE/article/view/2300