Grand challenge problem 12: Assessing student learning through continuous collection and interpretation of temporal performance data
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[S.l.] : Springer
SpringerBriefs in Education
InEberle, J.; Lund, K.; Tchounikine, P. (ed.), Grand challenge problems in technology-enhanced learning II: MOOCs and beyond, pp. 59-61
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Eberle, J.; Lund, K.; Tchounikine, P. (ed.), Grand challenge problems in technology-enhanced learning II: MOOCs and beyond
SubjectLearning and Plasticity
Learning and assessment have traditionally occurred as distinct activities, where engaging in one takes time away from the other. This grand challenge explores how advances in data collection and analysis can be leveraged to integrate learning and assessment in one single process. Developing assessment during learning within technology enhanced learning systems requires understanding the temporal characteristics of learning: what are meaningful data traces, how do these develop over time, and how teachers can best be informed of learners’ progress. The challenge is met when these measures and methods are adopted by educators as a viable alternative to traditional testing.
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