Introduction
Big data and higher education
Opening the black box of learning with student data and learning analytics
Learning management system analytics
eAdvising analytics
Institutional analytics
Edge-case analytics using social and biometric data
Learning analytics and privacy as control of one’s data and information
Privacy as control of information
Losing control
Harms to autonomy
The role of informed consent in expressing privacy choices
Disclosing and using data without student consent
Comprehensive profiles
Classroom disclosures
Continuously tracked
Building an informed consent model for learning analytics
The emerging student voice
Informed consent in an age of big data
Maximizing the identity layer
The platform for privacy preferences (P3P) model
[P3P] specifies a standard computer-readable format for Web site privacy policies. P3P-enabled Web browsers read policies published in P3P format and compare them with user-specified privacy settings. Thus, users can rely on their agents to read and evaluate privacy policies on their behalf. Furthermore, the standardized multiple-choice format of P3P policies facilitates direct comparisons between policies and the automatic generation of standard-format human-readable privacy notices. (p. 50)