Engaging Learning Technologies for the Classroom of Tomorrow

被引:0
|
作者
Giorgini, Fabrizio [1 ]
Reimann, Peter [2 ]
机构
[1] Lattanzio Learning, Via Portobello, I-16039 Sestri Levante, Italy
[2] MTO, Tubingen, Germany
来源
关键词
technology-enhanced learning; future; formative assessment; learning analytics;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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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页码:556 / 559
页数:4
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