| Summary: | 碩士 === 朝陽科技大學 === 資訊工程系 === 106 === In the process of programming test, if the difficulty of the question is not arranged properly, students often have problems due to different degrees：If the topic is too difficult, the students who are not good often feel frustrated and lose confidence. Conversely, if the question is too simple, it may make the excellent students loss learning interest. In order to solve the above problems, we proposed an automatic classification mechanism for the difficulty of the test questions in this thesis. The system will use R software to conduct big data analysis on the test data of the students over the years, and classify the difficulty of the questions according to the analysis results. After the difficulty of the test questions is graded, the teacher can choose questions of different difficulty according to the level of the students, so that different levels of students can get the aptitude test questions. It is not only can reduce frustration, but also because of gradual encouragement to enhance learning motivation, interests and achievements.
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