Decades of research show that self-monitoring helps students build the self-regulation skills they need to succeed. MoBeGo makes the process of self-monitoring efficient, effective, and enjoyable. Through MoBeGo, students and their teachers engage in goal setting, progress monitoring, feedback, and positive reinforcement.

MoBeGo automatically graphs student behavioral data and applies expert-level decision rules behind the scenes. Based on student data, MoBeGo makes suggestions to teachers about adjusting how often students should self-monitor and what their goal should be.

These automated, data-based suggestions help eliminate guess work, reduce the effort of manual data analysis, and prevent students from continuing in interventions longer than actually needed. For students, this means higher impact interventions. For teachers, this means more time spent teaching, as research has shown students significantly increased their academic engagement and decreased their disruptive behavior when using MoBeGo (Bruhn et al., 2022; Bruhn et al., 2026).