We implemented three kinds of context-dependent help for a qualitative modelling and simulation workbench called DynaLearn. We show that it is possible to generate and select assistance knowledge based on the current model, simulation results and workbench state.
|Title of host publication||Artificial Intelligence in Education|
|Editors||G. Biswas, S. Bull, J. Kay, A. Mitrovic|
|Number of pages||3|
|Publication status||Published - 2011|
|Name||Lecture Notes in Computer Science|