Conference Proceedings

Prediction of students' assessment readiness in online learning environments: The sequence matters

D Malekian, J Bailey, G Kennedy

Proceedings of the Tenth International Conference on Learning Analytics & Knowledge | ACM | Published : 2020

Abstract

Online learning environments are now pervasive in higher education. While not exclusively the case, in these environments, there is often modest teacher presence, and students are provided with access to a range of learning, assessment, and support materials. This places pressure on their study skills, including selfregulation. In this context, students may access assessment material without being fully prepared. This may result in limited success and, in turn, raise a significant risk of disengagement. Therefore, if the prediction of students' assessment readiness was possible, it could be used to assist educators or online learning environments to postpone assessment tasks until students w..

View full abstract