The purpose of this study is to propose a method of problem-making for CAI systems which provides multiple-choice problems. CAI systems categorized in traditional-CAI have been widely used until now, since their algorithms are simple for teachers to make original materials by themselves, and they don\u27t need a particular user-interface such as a keyboard, and so on. However, most traditional-CAI systems can\u27t analyze students\u27 answers in detail to provide individual actions, since they generally provide multiple-choice problems and can\u27t receive enough information from students to diagnose mistakes and guide them individually. As a result, it is too difficult for systems to provide suitable problems to students individually. Based on this background, this paper proposes a method for choosing candidates to provide multiple-choice problems. To carry this out, the result of a paper-test which was given to the students in class was analyzed. In this paper, the results of the paper-test and proposing a method of problem-making are discussed
