"For the benefit of all students": Student trust in higher education learning analytics practices. Issue 1 (18th October 2019)

• Record Type: Journal Article
• Authors: Jones, Kyle M. L.; Afnan, Tanisha
• Is Part Of: Proceedings of the Association for Information Science and Technology. Volume 56:Issue 1(2019)
• Page Start: 682
• Page End: 683
• Publication Date: 2019-10-18
• Subjects: Higher education -- learning analytics -- student privacy -- trust; Information science -- Congresses; Information technology -- Congresses; Information science; Information technology; Conference papers and proceedings; 020
• DOI: 10.1002/pra2.132
• Languages: English
• ISSNs: 2373-9231

Abstract

ABSTRACT: Learning analytics is a sociotechnical practice that seeks new insights from mining and analyzing student data. As new flows of student data emerge and granular information about student life becomes more accessible, there is a growing call to address student privacy and related issues. This poster reports emerging results from over 100 interviews with undergraduate students regarding their privacy perceptions especially with regard to trust.