On the application of planning and scheduling techniques to e-learning

Authors:
Antonio Garrido;Eva Onaindia
Affiliations:
Universidad Politecnica de Valencia, Valencia, Spain;Universidad Politecnica de Valencia, Valencia, Spain
Venue:
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Year:
2010

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Abstract

AI planning techniques have been widely used in e-learning settings to create fully adapted courses to the specific needs, background and profile of students, but the practical issues of the real setting in which the course must be given have been traditionally ignored. In this paper, we present an integrated planning and scheduling approach that accommodates the temporal and resource constraints of the environment to make a course applicable in a real scenario. We also provide some experimental results to check the approach scalability.