Learn about research by Dr. Zewe Serpell and colleagues... Computer scientists have developed a technology that uses facial expression recognition to detect how engaged students are during a class and to predict how well they will do in that class. The team, led by scientists at the University of California, San Diego and Emotient, a San Diego-based provider of facial expression recognition, showed that the technology was able to detect students’ level of engagement in real time just as accurately as human observers. ucsdnews.ucsd.edu/pressrelease/computer_software_accurately_predicts_student_test_performance
Posted on: Fri, 02 May 2014 19:17:26 +0000
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