LOCAL WINNER
Experienced Awards: Disruptive technology
Baam-Dash
Solution details
We are proposing an AI powered dashboard for teachers that can be integrated in other LMS. The idea is to train an ML model on inputs like IOT sensors in class, sensors in students smartphone, contextual data from LMS platform and predict the engagement of students in class. This model will be used in the backend of the platform, which will show the teachers in real time what are different engagement metrics and overall current engagement situation of the class. It also allows to turn on Activity mode where you can track Social and Collaboration engagement while doing any activity in the class. Another part of the platform is powered by ML trained model that intelligently in real time gives alert about the class like change the Pace, Students are getting distracted, maybe repeat the current topic again. On the other side the students will receive 2 second notification in their app about checking in, pace of the class, understanding and engagement level. In the end the platform also has an Post hoc engagement over the whole class that shows during which time, and which topic specifically did the engagement dips a lot.
Tweet / Slogan
Baam-Dash uses existing LMS data, smartphone activity, and low cost IOT sensors to predict, display and inform real-time student engagement, helping instructors manage large classes, reduce cognitive load, and boost participation.