Learning Analytics System (LAS) in Instructional Design

• In Event: RTD - Exploring Theories and Methods in Learning and Design

Short Description

This research proposal reports a theory and practice study of designing a LAS to support instructional design and assessment. Teachers lack methods and tools for systematically evaluating the varied and complex learner performances enacted in technology supported learning environments, such as distance and blended learning. Developing an integrated toolset for monitoring these performances requires observing the use of resources distributed across technology-based educational systems. This study employed Unified Modeling Language (UML) Use Case to build a unified and flexible architecture for a complex Learning Analytics System (LAS) with Predict, Adapt, Recommend and Reflect engines. Next, the link between activity-based learning design, LAS and other educational systems is proposed with expanding the structure of learning design formula. Finally, a case study using Sakai was presented.

Authors

• Wanli Xing, University of Missouri-Columbia

• Yaofeng Xue, East China Normal University