As it turns out, this work of analyzing the data can also be difficult, time-, people- and resource-intensive. The mass migration to digital classrooms, however, is sparking renewed interest in the potential of learning analytics and predictive modeling for student success. But this time, given the dramatic increase in the number of learners and faculty using technology regularly for learning, institutional leaders may see that the power of analytics may lie in their simplicity rather than their complexity.
