Automatic generation of temporal planning domains for e-learning problems

作者：Castillo Luis^*; Morales Lluvia; Gonzalez Ferrer Arturo; Fdez Olivares Juan; Borrajo Daniel; Onaindia Eva

来源：Journal of Scheduling, 2010, 13(4): 347-362.

DOI：10.1007/s10951-009-0140-x

• Hierarchical task network planning
• Knowledge engineering for planning and scheduling
• Applications to e-learning

AI Planning & Scheduling techniques are being widely used to adapt learning paths to the special features and needs of students both in distance learning and lifelong learning environments. However, instructors strongly rely on Planning & Scheduling experts to encode and review the domains for the planner/scheduler to work. This paper presents an approach to automatically extract a fully operational HTN planning domain and problem from a learning objects repository without requiring the intervention of any planning expert, and thus enabling an easier adoption of this technology in practice. The results of a real experiment with a small group of students within an e-Learning private company in Spain are also shown.

• 出版日期2010-8