Lessons Learned From Early Implementations of Adaptive Courseware

Abstract

To address the urgent need to improve student outcomes in developmental and general education courses, higher education institutions are turning to new learning technologies. Prominent among these is adaptive learning courseware that uses computer algorithms to parse learning analytic data collected as students interact with online learning environments. These adaptive algorithms then determine the student’s next learning activity and can be used to generate personalized feedback, study reminders, content recommendations, and real-time progress dashboards that both students and instructors may review.