Computer software accurately predicts student test performance

Emotient, the leading provider of facial expression recognition data and analysis, and the University of California, San Diego announced publication of a joint study by two Emotient co-founders affiliated with UC San Diego, together with researchers from Virginia Commonwealth University and Virginia State University. The study demonstrates that a real-time engagement detection technology that processes facial expressions can perform with accuracy comparable to that of human observers.  The study also revealed that engagement levels were a better predictor of students' post-test performance than the students' pre-test scores.

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