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Applying learning analytics to program curriculum review

Applying learning analytics to program curriculum review The purpose of this paper is to describe examples of the application of learning analytics (LA), including the assessment of subject grades, identifying subjects that need revision, student satisfaction and cohort comparisons, to program curriculum review.Design/methodology/approachExamples of analyses that address specific questions that a curriculum review wishes to address are provided, together with examples of visualizations from the analyses to aid interpretation.FindingsThe results show that using LA as a part of curriculum review can provide insights not possible with the traditional curriculum review methods and can yield useful and actionable insights.Research limitations/implicationsThe work in this paper illustrates another important application for LA and demonstrates the value this approach has for informing curriculum enhancement at the program level.Practical implicationsThe analyses described provide insights not possible with traditional curriculum review methods. However, the challenge remains to develop analytic tools that can assist teachers to conduct LA independently.Originality/valueLA have been used to predict grades or identify at-risk students (Gaševic et al., 2016), but there is little research on its use for curriculum evaluation (Méndez et al., 2014). This paper addresses this gap and provides examples of its application in program curriculum review and the insights it can provide. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Information and Learning Technology Emerald Publishing

Applying learning analytics to program curriculum review

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2056-4880
DOI
10.1108/ijilt-11-2018-0133
Publisher site
See Article on Publisher Site

Abstract

The purpose of this paper is to describe examples of the application of learning analytics (LA), including the assessment of subject grades, identifying subjects that need revision, student satisfaction and cohort comparisons, to program curriculum review.Design/methodology/approachExamples of analyses that address specific questions that a curriculum review wishes to address are provided, together with examples of visualizations from the analyses to aid interpretation.FindingsThe results show that using LA as a part of curriculum review can provide insights not possible with the traditional curriculum review methods and can yield useful and actionable insights.Research limitations/implicationsThe work in this paper illustrates another important application for LA and demonstrates the value this approach has for informing curriculum enhancement at the program level.Practical implicationsThe analyses described provide insights not possible with traditional curriculum review methods. However, the challenge remains to develop analytic tools that can assist teachers to conduct LA independently.Originality/valueLA have been used to predict grades or identify at-risk students (Gaševic et al., 2016), but there is little research on its use for curriculum evaluation (Méndez et al., 2014). This paper addresses this gap and provides examples of its application in program curriculum review and the insights it can provide.

Journal

The International Journal of Information and Learning TechnologyEmerald Publishing

Published: May 20, 2019

Keywords: Curriculum; Learning analytics; Program review

References