One of the central issues in Open Learner Models research is the design, development and evaluation of representations. Since learners perceive and act upon representations of their learning in OLM systems, the notational, emotional, informational and interactive aspects of representations must be considered in the design and development of OLM systems. This report presents the study of notational, emotional, and informational aspects of nine different kinds of OLM representations. The representations are referred to as “Static Representations” as they only present snapshot views of three knowledge states (weak, average and strong) without offering any interactive capabilities to the student participants. Findings from the eye-tracking study reported here helped the design of dynamic visualizations of the OLM system for the NEXT-TELL project and the Dynamic-Visualizations of Open Learner Models (DV-OLM) research prototype.
The study was conducted in Professor Ravi Vatrapu in the HCI lab of Copenhagen Business School. The equipment used was the SMI iView X eye-tracker device.
More details can be found in public Deliverable D4.2.