Automated detection of proactive remediation by teachers in reasoning mind classrooms

Among the most important tasks of the teacher in a classroom using the Reasoning Mind blended learning system is proactive remediation: dynamically planned interventions conducted by the teacher with one or more students. While there are several examples of detectors of student behavior within an online learning environment, most have focused on behaviors occurring fully within the context of the system, and on student behaviors. In contrast, proactive remediation is a teacher-driven activity that occurs outside of the system, and its occurrence is not necessarily related to the student's current task within the Reasoning Mind system. We present a sensor-free detector of proactive remediation, which is able to distinguish these activities from other behaviors involving idle time, such as on-task conversation related to immediate learning activities and off-task behavior.