Meredith Farkas writes: “In K–12 and academic libraries, learning analytics systems are aggregating student data to make trends visible. The systems allow advisors, instructors, and other stakeholders to use the trend data to identify a student at risk based on specific characteristics or behaviors. They allow educators to intervene, often before a student exhibits any difficulties. While the possibilities of library data in learning analytics might be intriguing, the privacy implications are immense.”
American Libraries column, Mar,/Apr.