Adaptive Instructional Planning in Intelligent Learning Systems

Traditional hypermedia techniques add a new dimension to reading, but do not enable precise pedagogical strategies to be followed during the composition of an adaptive course. This paper investigates the use of computational intelligence for adaptive lesson generation in a distance learning environment. The predetermination of a set of selection rules based on the assessment results of the learner can increase the system adaptation and affects even more the relevance of the approach. Nevertheless, only the expert tutor is entitled to formulate with certainty a correspondence between learner's profile and the characteristics of learning objects. A methodology is introduced then for producing a decision model that imitated the way decided by the designer. An intelligent mechanism based on a non-symbolic approach system is used for an adaptation of the teaching contents to the learners' performances.