SELF-MONITORING ANALYSIS AND REPORTING TECHNOLOGIES

摘要

Self-monitoring analysis and reporting techniques are described. Within an educational environment, a teacher computer and one or more student workstations are communicatively connected via a network. The student workstations are implemented to include one or more sensors and a neural network to analyze data from the sensors to determine a cognitive or affective state of the student. Based on the state of the student, a student user interface can be updated to maintain the student's attention and/or to prompt the student to seek out help or additional resources when confused. Furthermore, based on the state of the student, a teacher user interface can be updated to provide real-time visualization of the current state of each student in the educational environment.