Tracking Physical and Digital Learning Interactions in Ubiquitous Computing Environments

We describe a novel context-aware learning framework that tracks the learning progress of students equipped with mobile terminals. The learning tasks to be completed are defined using UML, while the location of students and learning equipment (like books) is tracked using RFID, and is shown on a map in real-time. The platform also visualizes the learning progress of individual students, which is represented by a four-dimensional vector. The vector components define the student collaborative interactions, the time for learning activity completion, the resources usage and the learning success. Vectors are visualized using Chernoff Faces. The face components (hair, face shape, eyes, mouth) represent the magnitudes of the vector components, thus allowing a fast, intuitive rating of a student’s learning