東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

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.
LDR:02825nmm a2200409K 4500 001 2364358
005 20231130105236.5
006 m o d
007 cr mn ---uuuuu
008 241011s2023 xx obm 000 0 eng d
020 $a 9798379518387
035 $a (MiAaPQ)AAI30249737
035 $a AAI30249737
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Francis, Mary. $3 3617624
245 1 0 $a Student Privacy and Learning Analytics : $b Investigating the Application of Privacy Within a Student Success Information System in Higher Education.
264 0 $c 2023
300 $a 1 online resource (144 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-11, Section: B.
500 $a Advisor: Avoseh, Mejai Bola Mike.
502 $a Thesis (Ed.D.)--University of South Dakota, 2023.
504 $a Includes bibliographical references
520 $a 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Adult education. $3 543202
650 4 $a Higher education. $3 641065
650 4 $a Computer science. $3 523869
650 4 $a Information technology. $3 532993
653 $a Big data analytics
653 $a Ethical issues
653 $a Privacy
653 $a Learning analytics
653 $a Data resources
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0516
690 $a 0489
690 $a 0984
690 $a 0745
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of South Dakota. $b Educational Administration. $3 1681009
773 0 $t Dissertations Abstracts International $g 84-11B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30249737 $z click for full text (PQDT)