Artificial Intelligence-based Motivation Indicator

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GET STARTED
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“Artificial Intelligence-based Motivation Indicator in Online Learning Environments” funded by Sherman Fairchild Foundation

Instead of measuring motivation by paper-based instruments, Dr. Kim has developed an artificial intelligence (AI) algorithm to detect student’s motivation based on facial expressions and emotions. This AI system can identify at-risk students with lower motivation and send real-time alerts to the teacher. This system can also improve the quality of online learning. That is, educators can easily and accurately identify what learning contents, activities, and instructional methods significantly undermine learners’ motivation through the data provided by AI. They then make the needed revisions to improve the overall learning experience.