Computer software analyzing facial expressions accurately predicts student test performance

Real-time engagement detection technology that processes facial expressions can perform with accuracy comparable to that of human observers, according to new research. The study used automatic expression recognition technology to analyze students' facial expressions on a frame-by-frame basis and estimate their engagement level. 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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