nStudy: Software for Learning Analytics about Processes for Self-Regulated Learning
Abstract
Data used in learning analytics rarely provide strong and clear signals about how learners process content. As a result, learning as a process is not clearly described for learners or for learning scientists. Gašević, Dawson, and Siemens (2015) urged data be sought that more straightforwardly describe processes in terms of events within learning episodes. They recommended building on Winne’s (1982) characterization of traces — ambient data...
Paper Details
Title
nStudy: Software for Learning Analytics about Processes for Self-Regulated Learning
Published Date
Jul 23, 2019
Volume
6
Issue
2
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