Human-Adaptive Determination of Natural Language Hints

Putting emphasis on making cognitive functions of hints explicit and allowing for the automatic incorporation in a natural dialogue context which simulates the dialectic process of a socratic teaching model, we developed a multi-dimensional hint taxonomy where each dimension defines a decision point for the associated function. We take domain knowledge into account for choosing the hint to be given with regard to the domain-knowledge dimension. We show how structured domain knowledge can be used to inform the automatic determination of the hint category to be produced and assists natural argument interaction in an ITS context.

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