research-article

Student privacy self-management: implications for learning analytics

Authors:

Sharon SladeAuthors Info & Claims

LAK '15: Proceedings of the Fifth International Conference on Learning Analytics And Knowledge

Pages 83 - 92

https://doi.org/10.1145/2723576.2723585

Published: 16 March 2015 Publication History

Abstract

Optimizing the harvesting and analysis of student data promises to clear the fog surrounding the key drivers of student success and retention, and provide potential for improved student success. At the same time, concerns are increasingly voiced around the extent to which individuals are routinely and progressively tracked as they engage online. The Internet, the very thing that promised to open up possibilities and to break down communication barriers, now threatens to narrow it again through the panopticon of mass surveillance.

Within higher education, our assumptions and understanding of issues surrounding student attitudes to privacy are influenced both by the apparent ease with which the public appear to share the detail of their lives and our paternalistic institutional cultures. As such, it can be easy to allow our enthusiasm for the possibilities offered by learning analytics to outweigh consideration of issues of privacy.

This paper explores issues around consent and the seemingly simple choice to allow students to opt-in or opt-out of having their data tracked. We consider how 3 providers of massive open online courses (MOOCs) inform users of how their data is used, and discuss how higher education institutions can work toward an approach which engages and more fully informs students of the implications of learning analytics on their personal data.

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Radway SQuintanilla KLudden CVotipka D(2024)An Investigation of US Universities' Implementation of FERPA Student Directory Policies and Student Privacy PreferencesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642066(1-35)Online publication date: 11-May-2024
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Wilson ARoss J(2024)‘Your U-Well-Being Journal is due today’: on some possible intersections between surveillance and student wellbeing in the future universityStudies in Higher Education10.1080/03075079.2024.2368264(1-15)Online publication date: 18-Jun-2024
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Index Terms

Student privacy self-management: implications for learning analytics
1. Applied computing
  1. Education
    1. Distance learning
    2. E-learning
2. Social and professional topics
  1. Professional topics
    1. Computing profession
      1. Codes of ethics

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LAK '15: Proceedings of the Fifth International Conference on Learning Analytics And Knowledge

March 2015

448 pages

ISBN:9781450334174

DOI:10.1145/2723576

Conference Chairs:
Josh Baron
Marist College
,
Grace Lynch
SoLAR
,
Nicole Maziarz
Marist College
,
Program Chairs:
Paulo Blikstein
Stanford University
,
Agathe Merceron
Beuth University of Applied Sciences Berlin
,
George Siemens
University of Texas at Arlington

Copyright � 2015 ACM.

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Published: 16 March 2015

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LAK '15: the 5th International Learning Analytics and Knowledge Conference

March 16 - 20, 2015

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https://doi.org/10.4018/979-8-3693-0884-4.ch006
Radway SQuintanilla KLudden CVotipka D(2024)An Investigation of US Universities' Implementation of FERPA Student Directory Policies and Student Privacy PreferencesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642066(1-35)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642066
Wilson ARoss J(2024)‘Your U-Well-Being Journal is due today’: on some possible intersections between surveillance and student wellbeing in the future universityStudies in Higher Education10.1080/03075079.2024.2368264(1-15)Online publication date: 18-Jun-2024
https://doi.org/10.1080/03075079.2024.2368264
Viberg OKizilcec RJivet IMartínez Monés AOh AMutimukwe CHrastinski SScheffel M(2024)Cultural Differences in Students’ Privacy Concerns in Learning Analytics across Germany, South Korea, Spain, Sweden, and the United StatesComputers in Human Behavior Reports10.1016/j.chbr.2024.100416(100416)Online publication date: Apr-2024
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