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“For the benefit of all students”: Student trust in higher education learning analytics practices
Author(s) -
Jones Kyle M. L.,
Afnan Tanisha
Publication year - 2019
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.132
Subject(s) - learning analytics , sociotechnical system , analytics , perception , computer science , student engagement , data science , psychology , knowledge management , mathematics education , neuroscience
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.