A. Pardo, Roberto Martínez Maldonado, S. B. Shum, J. Schulte, Simon McIntyre, D. Gašević, Jing Gao, George Siemens
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引用次数: 8
Abstract
The amount of data extracted from learning experiences has grown at an astonishing pace both in depth due to the increasing variety of data sources, and in breath with courses now being offered to massive student cohorts. However, in this emerging scenario instructors are now facing the challenge of connecting the knowledge emerging from data analysis with the provision of meaningful support actions to students within the context of an instructional design. The objective of this tutorial is to give attendees a set of hypothetical scenarios in which the knowledge extracted from a learning experience needs to be used to provide frequent personalized feedback to students.
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