LeadFlow4LD: A Method for the Computational Representation of the Learning Flow and Data Flow in Collaborative Learning

A computer representation of teaching-learning processes in collaborative learning settings consists of modeling not only the sequence of learning activities and educational resources as existing learning design languages propose, but also modeling both the sequence of invocations of tools needed to carry out the learning activities and the flow of data among those tools. Existing data flow approaches only model data with activities but not data with tools. In this paper, the authors present LeadFlow4LD, a learning design and workflow-based method to achieve such a computational representation of collaborative learning processes in an interoperable and standard way.

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Journal of Universal Computer Science
Big Data