Artificial Ant Colonies and E-Learning: An Optimisation of Pedagogical Paths

نویسندگان

  • Y. SEMET
  • Y. JAMONT
  • R. BIOJOUT
  • E. LUTTON
  • P. COLLET
چکیده

This paper describes current research on the optimisation of the pedagogical path of a student in an existing e-learning software. This optimisation is performed following the models given by a fairly recent field of Artificial Intelligence: Ant Colony Optimisation (ACO) [1,2,4]. The underlying structure of the E-learning material is represented by a graph with valued arcs whose weights are optimised by virtual ants that release virtual pheromones along their paths. This gradual modification of the graph’s structure improves its pedagogic pertinence in order to increase pedagogic success. The system is developed for Paraschool, the leading French Elearning company. Tests will be conducted on a pool of more than 10,000 users.

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تاریخ انتشار 2002