Vedantu was looking for a solution to gain key emotion analytics such as what types of content were stressful and what was easy to comprehend for students. For teachers, there would be insights on how to restructure content along with inputs on areas such as voice modulation. Without such insights, Vedantu was unable to identify any areas of improvement, which in turn impacts their ability to provide the intended level of learning experience. 
 
Vedantu was looking for a scalable Emotion AI learning solution that provided unbiased insights to: 

• Evaluate Students Overall Cognitive Engagement score and its correlation to Vedantu’s Student Rating System  

• Understand Students & Teachers Cognitive Attention, Engagement and Emotion for a Classroom recording using Facial Coding Technology.  
• Identify key attributes of a classroom session that leads to a High & Low Cognitive Engagement score across the length of the session  
• To understand students’ emotion metrics such as Attention, Engagement, and Emotion combined with data on distraction and fatigue.   

 Learn how our Emotion AI helped Vedantu derive pin-pointed emotion analytics insights that helped make changes to the teaching program, improving content effectiveness, and choose the best presentation methods to make online classrooms more engaging.