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Student Centred Design of a Learning Analytics System

De Quincey, Ed; Briggs, Chris; Kyriacou, Theocharis; Waller, Richard

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Chris Briggs


Current Learning Analytics (LA) systems are primarily designed with University staff members as the target audience; very few are aimed at students, with almost none being developed with direct student involvement and undertaking a comprehensive evaluation. This paper describes a HEFCE funded project that has employed a variety of methods to engage students in the design, development and evaluation of a student facing LA dashboard. LA was integrated into the delivery of 4 undergraduate modules with 169 student sign-ups. The design of the dashboard uses a novel approach of trying to understand the reasons why students want to study at university and maps their engagement and predicted outcomes to these motivations, with weekly personalised notifications and feedback. Students are also given the choice of how to visualise the data either via a chart-based view or to be represented as themselves. A mixed-methods evaluation has shown that students' feelings of dependability and trust of the underlying analytics and data is variable. However, students were mostly positive about the usability and interface design of the system and almost all students once signed-up did interact with their LA. The majority of students could see how the LA system could support their learning and said that it would influence their behaviour. In some cases, this has had a direct impact on their levels of engagement. The main contribution of this paper is the transparent documentation of a User Centred Design approach that has produced forms of LA representation, recommendation and interaction design that go beyond those used in current similar systems and have been shown to motivate students and impact their learning behaviour.

Conference Name 9th International Conference on Learning Analytics and Knowledge (LAK19)
Conference Location Tempe, Arizona
Start Date Mar 4, 2019
End Date Mar 8, 2019
Acceptance Date Nov 20, 2018
Online Publication Date Mar 4, 2019
Publication Date Nov 20, 2018
Publicly Available Date May 26, 2023
Publisher Association for Computing Machinery (ACM)
Series Title 9th International Conference on Learning Analytics and Knowledge (LAK19)
Book Title LAK19: Proceedings of the 9th International Conference on Learning Analytics & Knowledge
ISBN 9781450362566
Keywords Learning Analytics, User Centred Design, Visualisation, Usability,User Experience, Laddering
Publisher URL


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