Modeling E-Learning Activities in Automated Planning

This paper presents three approaches to generate learning designs using existing domain-independent planners. All of the approaches compile a course defined in a standard e-learning language into a planning domain, and a file containing student’s learning information into a planning problem. The learning designs are automatically generated from the plans that solve the problems. The approaches differ in the kind of planning domain generated, thus increasing the possibilities of using existing planners: i) hierarchical, ii) including PDDL actions with conditional effects, and iii) including PDDL durative actions. We also analyse the pros and cons on the knowledge engineering procedures used in each approach.