Selection and Sequencing Constraints for Personalized Courses

The LECOMPS framework, for personalized and adaptive e-learning, is recalled. Its enhancements, regarding the selection and sequencing optimization algorithms that can be applied, are shown. Such enhancements are discussed, both in terms of their implementation and with respect to their effectiveness: basing on a stated learner's model (the present state of knowledge, and learning styles of the individual learner), and on a definition of course aims (Target Knowledge), we apply the various selection and sequencing algorithms and compare the results; different courses are produced, corresponding to different personalization requirements, that can possibly occur, also in combination.