Optimization of Moodle for Adaptive Testing

Abstract

In the era of big data, Computerized Adaptive Testing (CAT) with flexibility, easy access and other advantages, has become a new way of examination, but supports for adaptive test on Moodle are still lacking. Moodle, which has been widely used, is a free and open-source platform, and an object-oriented modular development of dynamic learning environment based on the social constructivism theory. The design of this paper applied the Item Response Theory (IRT), the maximum information quantity selection method and the learning personality characteristic model, which can realize the adaptive test on the Moodle. It can track the learner's learning ability and learning process better, and match learning materials with the learner better, in order to improve learning efficiency and effectiveness.