With the recent rapid progress of network technology, researchers have attempted to adopt artificial intelligence and use computer networks to develop adaptive hypermedia systems. The idea of adaptive hypermedia is to adapt the course content for a particular learner based on the profile or records of the learner. Meanwhile, researchers have also attempted to develop more effective programs to evaluate the student learning problems, so that the adaptive hypermedia systems can adapt displayed information and dynamically support navigation accordingly. Conventional testing systems simply give students a score, and do not give them the opportunity to learn how to improve their learning performance. Students would benefit more if the test results could be analyzed and hence advice could be provided accordingly. Concept effect model is an effective approach to coping with this problem. In this Chapter, the model and its relevant work are introduced.