Skip to main content

A Framework to Support Interdisciplinary Engagement with Learning Analytics

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

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-47392-1_3
  • Chapter length: 14 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   109.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-47392-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   139.99
Price excludes VAT (USA)
Hardcover Book
USD   199.99
Price excludes VAT (USA)
Fig. 3.1

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stephanie J. Blackmon .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Verify currency and authenticity via CrossMark

Cite this chapter

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-47392-1_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-47391-4

  • Online ISBN: 978-3-030-47392-1

  • eBook Packages: EducationEducation (R0)