A Framework to Support Interdisciplinary Engagement with Learning Analytics

Blackmon, Stephanie J.; Moore, Robert L.

doi:10.1007/978-3-030-47392-1_3

A Framework to Support Interdisciplinary Engagement with Learning Analytics

Stephanie J. Blackmon⁵ &
Robert L. Moore⁶

Chapter
First Online: 11 August 2020

592 Accesses
2 Citations
7 Altmetric

Part of the Advances in Analytics for Learning and Teaching book series (AALT)

Abstract

Learning analytics can provide an excellent opportunity for instructors to get an in-depth understanding of students’ learning experiences in a course. However, certain technological challenges, namely limited availability of learning analytics data because of learning management system restrictions, can make accessing this data seem impossible at some institutions. Furthermore, even in cases where instructors have access to a range of student data, there may not be organized efforts to support students across various courses and university experiences. In the current chapter, the authors discuss the issue of learning analytics access and ways to leverage learning analytics data between instructors, and in some cases administrators, to create interdisciplinary opportunities for comprehensive student support. The authors consider the implications of these interactions for students, instructors, and administrators. Additionally, the authors focus on some of the technological infrastructure issues involved with accessing learning analytics and discuss the opportunities available for faculty and staff to take a multi-pronged approach to addressing overall student success.

Keywords

Learning analytics
Institutional capacity
Interdisciplinary
Student success
Learning management systems

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Authors and Affiliations

William & Mary, Williamsburg, VA, USA
Stephanie J. Blackmon
Old Dominion University, Norfolk, VA, USA
Robert L. Moore

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Stephanie J. Blackmon
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Correspondence to Stephanie J. Blackmon .

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Editors and Affiliations

Curtin University, Perth, Australia
Prof. Dr. Dirk Ifenthaler
Curtin Learning and Teaching, Curtin University, Perth, Australia
Prof. David Gibson

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Blackmon, S.J., Moore, R.L. (2020). A Framework to Support Interdisciplinary Engagement with Learning Analytics. In: Ifenthaler, D., Gibson, D. (eds) Adoption of Data Analytics in Higher Education Learning and Teaching. Advances in Analytics for Learning and Teaching. Springer, Cham. https://doi.org/10.1007/978-3-030-47392-1_3

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DOI: https://doi.org/10.1007/978-3-030-47392-1_3
Published: 11 August 2020
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-47391-4
Online ISBN: 978-3-030-47392-1
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