Event Title
Start Date
4-6-2016 10:15 AM
End Date
4-6-2016 12:00 PM
Description
As online education continues to grow and evolve in the information age, institutions are being deluged with offers from technology vendors to be able to identify student behaviors using predictive analysis. These analytics are derived from algorithms that sift through data drawn directly from student/teacher interaction in online classrooms. Where do we draw the line between the privacy of the teacher/learner relationship and the needs of the institution to mine data for profit?
Included in
Adult and Continuing Education Administration Commons, Adult and Continuing Education and Teaching Commons
Postpositivism in Online Education: Is Big Data Driving the Teacher/Student Relationship off a Cliff?
As online education continues to grow and evolve in the information age, institutions are being deluged with offers from technology vendors to be able to identify student behaviors using predictive analysis. These analytics are derived from algorithms that sift through data drawn directly from student/teacher interaction in online classrooms. Where do we draw the line between the privacy of the teacher/learner relationship and the needs of the institution to mine data for profit?