Adaptive learning based on electroencephalographic data

A system comprising:

• one or more devices configured to capture data associated with one or more first persons attending an information exchange session;
• a first processor configured to perform a first processing of the captured data to generate a first processed data;
• and
• a communication device configured to communicate the first processed data to a central processor,
• wherein:
• the captured data includes at least one of raw electroencephalography (EEG) data, skin conductivity data or heart rate data,
• the central processor is configured to further process the first processed data and to generate a feedback related to attentiveness of the one or more first persons, and
• the feedback is a real-time feedback configured to enable a second person to adjust a presentation of materials in the information exchange session based on the real-time feedback to enhance audience attentiveness.

A method comprising:

• providing one or more devices to capture data associated with one or more first persons attending an information exchange session conducted by a second person presenting presentation materials;
• configuring a first processor to perform a first processing of the captured data to generate a first processed data;
• timestamping the first processed data and the presentation materials;
• communicating timestamped first processed data and timestamped presentation materials to a central processor;
• and
• configuring the central processor to further process the first processed data and to generate a feedback related to attentiveness of the one or more first persons,
• wherein:
• the captured data includes at least one of raw electroencephalography (EEG) data, skin conductivity data, or heart rate data, and
• the feedback comprises a real-time feedback that is configured to enable the second person to adjust conducting of the information exchange session based on the real-time feedback to enhance audience attentiveness.