NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ1364781
Record Type: Journal
Publication Date: 2023-Mar
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1570-1727
EISSN: EISSN-1572-8544
Learning Analytics within Higher Education: Autonomy, Beneficence and Non-Maleficence
O'Donoghue, Kevin
Journal of Academic Ethics, v21 n1 p125-137 Mar 2023
Higher education institutions are increasingly relying on learning analytics to collect voluminous amounts of data ostensibly to inform student learning interventions. The use of learning analytics, however, can result in a tension between the Council for the Advancement of Standards in Higher Education (CAS) principles of autonomy and non-malfeasance on the one hand, and the principle of beneficence on the other. Given the complications around student privacy, informed consent, and data justice in addition to the potential to do harm, many current practices around learning analytics within higher education can be considered to be in violation of CAS standards. This paper aims to explore this tension in greater detail and argues that the student voice offers a promising way to ensure that students' autonomy is respected, harm is reduced, and that higher education institutions can still fulfil the principle of beneficence.
BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://bibliotheek.ehb.be:2129/gp/biomedical-sciences
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A