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.
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Giorgini, F., Reimann, P. (2013). Engaging Learning Technologies for the Classroom of Tomorrow. In: Hernández-Leo, D., Ley, T., Klamma, R., Harrer, A. (eds) Scaling up Learning for Sustained Impact. EC-TEL 2013. Lecture Notes in Computer Science, vol 8095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40814-4_57
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DOI: https://doi.org/10.1007/978-3-642-40814-4_57
Publisher Name: Springer, Berlin, Heidelberg
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