Engaging learning technologies for the classroom of tomorrow

Abstract

While the technology-rich classroom makes it comparatively easy to gather, store and access data on students' activities, turning those into information on learning that can inform pedagogical decision-making is still hard to achieve. In the NEXT-TELL project, we build on concepts from educational assessment design and on modeling concepts from computer science as a basis for generating quality data on students' learning. We describe a set of inter-related methods and software components that can be used to turn assessments into support mechanisms for learning, and to make use and sense of data for improving teaching and learning. © 2013 Springer-Verlag.