Recent research on video data analytics by TSYS Endowed Chair in Cybersecurity Paul Wang and his colleague William Kelly of Metonymy Labs may lead to a revolution in online learning by increasing interactions between students and online learning systems.  The system, known as inVideo, transforms linear videos into interactive learning objects without the need for initial viewing by a human.  As they explain in their recent publication in the Journal of Learning Analytics, inVideo uses an indexing engine that is capable of analyzing language and video frames, while its time-stamped commenting and tagging properties facilitate more meaningful interactions for students.  The early evidence, gathered from use in the cybersecurity program at the University of Maryland, indicates the inVideo is an adaptive assessment tool that boosts both student-to-student and student-to-faculty interactions in the online learning environment.