Machine-learning based method for utilizing machine learning models to monitor and control learners in breakout rooms

A system for machine-learning (ML)-based monitoring of learners in breakout rooms, comprising:

• at least one memory;
• and
• at least one hardware processor coupled with the at least one memory and configured, individually or in combination, to:
• obtain, for each learner in a plurality of breakout rooms, a plurality of video streams capturing each respective learner, a plurality of audio streams for each respective learner, and a plurality of capture streams capturing an interaction of each learner and a respective computing device;
• obtain a list of predicted events indicative of success for a type of activity assigned to the learners in the plurality of breakout rooms;
• monitor activity in the plurality of breakout rooms by using a prepared monitoring MLM configured to generate an alert for a breakout room deviating from an assigned task based at least in part on analyzing the plurality of video streams, the plurality of audio streams, the plurality of capture streams, and the obtained list of the predicted events indicative of success for the type of activity;
• and
• generate an alert based on predicting that a breakout room is deviating from the assigned task based on outputs of the prepared monitoring MLM.

A non-transitory computer readable medium storing thereon computer executable instructions for machine-learning (ML)-based monitoring of learners in breakout rooms, including instructions for:

• obtaining, for each learner in a plurality of breakout rooms, a plurality of video streams capturing each respective learner, a plurality of audio streams for each respective learner, and a plurality of capture streams capturing an interaction of each learner and a respective computing device;
• obtaining a list of predicted events indicative of success for a type of activity assigned to the learners in the plurality of breakout rooms;
• monitoring activity in the plurality of breakout rooms by using a prepared monitoring MLM configured to generate an alert for a breakout room deviating from an assigned task based at least in part on analyzing the plurality of video streams, the plurality of audio streams, the plurality of capture streams, and the obtained list of the predicted events indicative of success for the type of activity;
• and
• generating an alert based on predicting that a breakout room is deviating from the assigned task based on outputs of the prepared monitoring MLM.