Formalization and implementation of Eliminating and Optimizing Selection (EOS) approach

摘要: The main challenge of e-learning systems is to provide different courses students with learning abilities. Such must also be efficient and adaptive. However, adaptivity can accomplished by improving the ability select dynamically an appropriate object for a specific learner. framework individualized selection, called Eliminating Optimizing Selection (EOS) was proposed Liu Greer (2004). In this paper, EOS further analyzed, implemented experimented. As result, formalization has been suggested. computational results approach have compared selection done other specialists. Comparisons shown its superiority in terms producing more optimized objects. Moreover, demonstrated competitiveness selected sequences objects learners needs.