Empowering instructors through customizable collection and analyses of actionable information

Danny Y. T. Liu; Charlotte E. Taylor; Adam J. Bridgeman; Kathryn Bartimote-Aufflick; Abelardo Pardo

Empowering instructors through customizable collection and analyses of actionable information

Danny Y. T. Liu, Charlotte E. Taylor, Adam J. Bridgeman, Kathryn Bartimote-Aufflick, Abelardo Pardo

Research output: Contribution to journal › Article › peer-review

Abstract

The use of analytics to support learning has been increasing over the last few years. However, there is still a significant disconnect between what algorithms and technology offer and what everyday instructors need to integrate actionable items from these tools into their learning environments. In this paper we present the evolution of the Student Relationship Engagement System, a platform to support instructors to select, collect, and analyze student data. The approach provides instructors the ultimate control over the decision process to deploy various actions. The approach has two objectives: To increase instructor data literacies and competencies, and to provide a low adoption barrier to promote a data-driven pedagogical improvement culture in educational institutions. The system is currently being used in 58 courses and 14 disciplines, and reaches over 20,000 students.

Original language	English
Pages (from-to)	3-9
Number of pages	7
Journal	CEUR Workshop Proceedings
Volume	1590
Publication status	Published - 2016
Externally published	Yes
Event	Learning Analytics for Curriculum and Program Quality Improvement Workshop (1st : 2016) - Edinburgh, United Kingdom Duration: 25 Apr 2016 → 25 Apr 2016

Keywords

Curriculum design and delivery
Instructors
Learning analytics adoption
Machine learning
Scaling up
Teaching approaches

Cite this

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AU - Pardo, Abelardo

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KW - Scaling up

KW - Teaching approaches

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Empowering instructors through customizable collection and analyses of actionable information

Abstract

Keywords

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