RESOURCE: MOOCs and other ed-tech bubbles | Ed Tech Now
“analytics is predicated on “big data” but in education, big data will not exist until we sort out the current failure of interoperability”
By spotting patterns in the data produced by students’ online learning activity, learning analytics systems should be able to help:
- predict student progress;
- inform adaptive learning strategies (sequencing digital learning activities or recommending human interventions);
- profile a student’s current capabilities;
- automatically group students, depending on their learning needs;
- identify the most effective learning strategies in different situations;
- aggregate and present complex data in ways which helps administrators, teachers and students manage instructional processes.
Written by Brian S McGowan, PhD
Brian is a research scientist and educational technologist. He helped transform Pfizer’s Medical Education Group and previously served in educational leadership roles at HealthAnswers, Inc.; Acumentis, LLC.; Cephalon; and Wyeth. He taught graduate medical education programs at Arcadia University for 10 years. Dr. McGowan recently authored the book "#socialQI: Simple Solutions for Improving Your Healthcare" and has been invited to speak internationally on the subject of information flow, technology, and learning in healthcare.
