Ability Assessment Based on CAT in Adaptive Learning System

Ability level of learner is the important dimension of adaptation in adaptive learning system. There are great differences in the capacity dimensions between different learners. Even for each specific learner, his ability level changes in the learning process. In order to more effectively evaluate the learner´s ability level and to support the personalized learning, we integrate the computerized adaptive testing (CAT) module into adaptive learning system in this paper. We put forward the architecture of integrating computerized adaptive testing module into adaptive learning system, and analyze the algorithms of adaptive testing based on item response theory and three parameters logistic (3PL) model. Via CAT, the test result updates the learnerpsilas ability level in student model. So based on the new ability level of learner, adaptive learning system can support the personalized learning with the adaptive content and the adaptive navigation.