Orchestration Graphs: Modeling Scalable Education

Pierre Dillenbourg, Amazon, Jun 28, 2018
Commentary by Stephen Downes

Enough of this book is visible online to be tantalizing (not that I can buy it, though; I have nothing like the budget it would take to actually buy books). The premise is as follows: "a sequence of learning activities can be modeled as a graph with specific properties." What follows appears to be a good application of graph theory to learning processes, up to and including the stochastic properties of graphs - that is, the idea that we can view a student's path through the graph as a set of probabilities. Readers should also note the concurrence between this idea and that of the directional acyclic graph (DAG) mentioned here a few days ago - I'm not sure whether it ever appears in the book, but it's a natural tie-in. And of course all of this describes (in my view) the graph-based underlying model of the original MOOCs (long forgotten in the rush to convert MOOCs from free to commercial). Via Gerald Ardito.

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