Computerized Adaptive Testing Based on Decision Tree

This paper proposes a new computerized adaptive testing employing a decision tree model, instead of test theories. The attribute variable of the model is examinees´ responses to each item and the output variable is examinees´ test total scores. Some simulation experiments show better performances of the proposed method compared to the traditional methods and solve the problems.