Student Consent in Learning Analytics

Prinsloo, Paul; Slade, Sharon

doi:10.4324/9780203731864-6

Cited by 8 publications

(2 citation statements)

References 27 publications

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“…Lastly, with social media-based research we think the consent process needs to be revisited to inform parents more explicitly of how the kinds of media benign shared (and where that media is being shared) are fundamentally different today than it was in the pastand that sharing through social media presents risks to safety and privacy that were not present in the past. Such a revisiting is in line with calls for social media and educational technology and learning analytics researchers to do the same (Fiesler & Proferes, 2018;Prinsloo & Slade, 2018).…”

Section: Implications For Policy and Practicementioning

confidence: 58%

When Sharing Isn't Caring: How Educational Institutions Share Students’ Personally Identifiable Information on Facebook

Rosenberg¹,

Borchers²,

Burchfield³

et al. 2022

Preprint

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Schools and school districts now use social media for a variety of reasons, and alongside the benefits that accompany these K-12 educational institutions' social media use come questions about privacy and safety. We use a sample of a larger dataset of around 18 million posts by United States schools and districts on Facebook that we collected through public Internet data mining methods to explore how these posts might risk the privacy and safety of students by depicting (showing a photo of a student's face) or identifying (by depicting a student and naming them with their first and last name) them on strictly publicly accessible posts. We also examine which Facebook page and structural factors (i.e., the size of the district) might be associated with posts that depict or identify students. Using a sequential mixed methods design, we found that around 4.9 million posts depict students and that around 725,000 posts identify students. Schools with a higher student poverty rate and schools that post more were more likely to depict students in any one post. We discuss these findings and suggest directions for future research from the lens of data ethics.

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Section: Implications For Policy and Practicementioning

confidence: 58%

When Sharing Isn't Caring: How Educational Institutions Share Students’ Personally Identifiable Information on Facebook

Rosenberg¹,

Borchers²,

Burchfield³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Finally, researchers should seek out guidelines, such as Prinsloo and Slade's (2018) for the informed consent process. They argued that researchers should consider how certain the outcome of a learning analytics application is, and how much risk is posed to participants, to determine how the consent process should take place.…”

Section: Implications For Educational Technology Designers and Researmentioning

confidence: 99%

Balancing’ privacy and open science in the context of COVID-19: a response to Ifenthaler & Schumacher (2016)

Rosenberg

Willet

2020

Education Tech Research Dev

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Privacy and confidentiality are core considerations in education, while at the same time, using and sharing data—and, more broadly, open science—is increasingly valued by editors, funding agencies, and the public. This manuscript responds to an empirical investigation of students’ perceptions of the use of their data in learning analytics systems by Ifentahler and Schumacher (Educational Technology Research and Development, 64: 923-938, 2016). We summarize their work in the context of the COVID-19 pandemic and the resulting shift to digital modes of teaching and learning by many teachers, using the tension between privacy and open science to frame our response. We offer informed recommendations for educational technology researchers in light of Ifentahler and Schumacher’s findings as well as strategies for navigating the tension between these important values. We conclude with a call for educational technology scholars to meet the challenge of studying learning (and disruptions to learning) in light of COVID-19 while protecting the privacy of students in ways that go beyond what Institutional Review Boards consider to be within their purview.

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Challenges and Recommendations on the Ethical Usage of Learning Analytics in Higher Education

Mavroudi

2023

Advances in Analytics for Learning and Teaching

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Student Consent in Learning Analytics

Abstract: For guidance on citations see FAQs.

Cited by 8 publications

References 27 publications

When Sharing Isn't Caring: How Educational Institutions Share Students’ Personally Identifiable Information on Facebook

When Sharing Isn't Caring: How Educational Institutions Share Students’ Personally Identifiable Information on Facebook

Balancing’ privacy and open science in the context of COVID-19: a response to Ifenthaler & Schumacher (2016)

Challenges and Recommendations on the Ethical Usage of Learning Analytics in Higher Education

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