Student data privacy in MOOCs: a sentiment analysis

被引:14
作者
Prinsloo, Paul [1 ]
Slade, Sharon [2 ]
Khalil, Mohammad [3 ]
机构
[1] Univ South Africa Unisa, Business Management, Pretoria, South Africa
[2] Open Univ, Fac Business & Law, Walton Hall, Milton Keynes MK7 6AA, Bucks, England
[3] Univ Bergen, Ctr Sci Learning & Technol, Bergen, Norway
关键词
massive open online courses (MOOCs); student data; terms and conditions; sentiment; QUALITATIVE CONTENT-ANALYSIS; CONSENT; TRUST;
D O I
10.1080/01587919.2019.1632171
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Student data privacy as a research focus and practice is relatively under-researched in the context of massive open online courses (MOOCs). Central to researching student data privacy in the context of online service providers are the various user agreements that participants must accept or opt into before they can use a MOOC platform. Such documents form the basis for any recourse individuals might have if they have concerns about data privacy. Of specific interest in this research is the emotive use of language used in these documents. Research in other genres suggest that emotive language can be intentionally used to facilitate buy-in or to soften the implications of the agreement between user and provider. This article shares our findings of a sentiment analysis of the terms and conditions and privacy statements of three major MOOC providers.
引用
收藏
页码:395 / 413
页数:19
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