Automatized Generation of Personalized Learning Paths through Aspects in Multidimensional Spaces

Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2016

The paper presents a system for adaptive personalized generation of learning paths in the context of defined learning goals, which are abstractly defined in the course through functions/predicates. An algorithm for Generation of Personalized e-learning paths is proposed, which makes use of some functionality of a system, emulating a multidimensional database system.

Association for the Development of the Information Society, Institute of Mathematics and Informatics Bulgarian Academy of Sciences, Plovdiv University "Paisii Hilendarski"