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Teacher-actionable insights in student engagement: A learning analytics taxonomy
Citation
Koh, E., & Tan, J. P. L. (2017). Teacher-actionable insights in student engagement: A learning analytics taxonomy. In W. Chen, J.-C. Yang, A. F. Mohd Ayub, S. L. Wong, & A. Mitrovic (Eds.), Proceedings of the 25th International Conference on Computers in Education (pp. 319-371). Asia-Pacific Society for Computers in Education.
Abstract
In the emerging field of learning analytics (LA), actionable insight from LA designs tends to be a buzzword without clear understandings. Student engagement is commonly measured in LA designs and used to inform actionable insight. Moreover, in K-12 education, where 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.
Date Issued
2017
Description
This paper was published in the 2017 proceedings of the 25th International Conference on Computers in Education held at Christchurch, New Zealand from 4 - 8 December 2017