Enhancing Open Educational Resources Sustainability and Impact: A Longitudinal Study Using Learning Analytics

• In Event: Data-Driven Decision Making

Abstract

Practitioners and instructors battle keeping OERs updated and measuring their impact on students’ performance. This longitudinal study uses learning analytics (i.e., RISE framework) that identifies OERs needing development and assesses the impact of continuous improvement cycles on students’ outcomes. Panel data (i.e., performance and interaction) from 190 learning objectives in an introductory sociology course were analyzed using a hierarchical linear model. Results show that more visits to a learning objective do not affect student achievement, while continuous improvement cycles of OERs do. Implications for practitioners are discussed.

Authors

• Daniela Castellanos-Reyes, North Carolina State University

• David A. Wiley, Lumen Learning