Intelligent Learning System Based on HMM Model

The authors designed a new type of computer-assistanted learning system, the firstly use the hidden Markov model training on knowledge and caculated the complexity of knowledge points. Then use Ebbinghaus curve to simulate the human brain´s memory and draw usually forgotten rule of Human Brain. Them take the memory volatile algorithm to simulate the human brain after repeated test of the knowledge points in order to grasp the same situation which is reflect in brain. The system design of a unified entry interface and all are designed in accordance with the computer algorithm, which can be applied to a new generation of computer-assisted learning system.