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Student Privacy and Learning Analytics : = Investigating the Application of Privacy Within a Student Success Information System in Higher Education.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Student Privacy and Learning Analytics :/
Reminder of title:	Investigating the Application of Privacy Within a Student Success Information System in Higher Education.
Author:	Francis, Mary.
Description:	1 online resource (144 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-11, Section: B.
Contained By:	Dissertations Abstracts International84-11B.
Subject:	Adult education. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30249737click for full text (PQDT)
ISBN:	9798379518387

Student Privacy and Learning Analytics : = Investigating the Application of Privacy Within a Student Success Information System in Higher Education.
Francis, Mary.

Student Privacy and Learning Analytics :Investigating the Application of Privacy Within a Student Success Information System in Higher Education. - 1 online resource (144 pages)

Source: Dissertations Abstracts International, Volume: 84-11, Section: B.

Thesis (Ed.D.)--University of South Dakota, 2023.

Includes bibliographical references

Learning analytics are starting to become standardized in higher education as institutions use the techniques of Big Data analytics to make decisions to help them reach their goals. The widespread use of student information brings forth ethical concerns primarily in relation to privacy. While the overarching ethical issues related to learning analytics are discussed in the literature, there has been a call for more studies to examine how they are put into practice. This case study used interviews and other data resources to determine how privacy is addressed within a student success information system at a public institution of higher education. During the inductive coding process three main themes emerged related to the connection between FERPA and privacy, methods to maintain privacy, and students' connection with their data. A deductive coding process was also undertaken to determine how the institution addressed the privacy principles put forth in the larger privacy literature. Overall, the findings showed the institution had a minimal understanding of privacy concerns related to learning analytics. This was not unexpected given the length of time the system had been in use at the institution. Recommendations for the institution include developing policies and procedures to guide their use of learning analytics moving forward.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379518387Subjects--Topical Terms:

543202
Adult education.
Subjects--Index Terms:

Big data analyticsIndex Terms--Genre/Form:

542853
Electronic books.

Student Privacy and Learning Analytics : = Investigating the Application of Privacy Within a Student Success Information System in Higher Education.
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