Abstract
Online examination system plays a significant role in education. However, there are varieties of disadvantages in non-optimized systems, such as randomly selecting questions that make the exam paper has an imbalance difficulty, the unanticipated weight of knowledge points, and so on. A genetic algorithm is an efficient and achievable way to improve the ability to generate exam paper. Besides, a massive amount of data are generated when the system is running. Nevertheless, some of the systems only store the data, in another word, they do not make full use of the generated data. An evaluation algorithm is put forward in this essay to give objective and scientific evaluations on students’ learning and teachers’ teaching via using the data that are generated in examinations, which is based on the degree of difficulty. To make this algorithm working well, the degree of difficulty of questions stored in the database is supposed to be updated dynamically when the samples of questions’ answers become large enough.
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