| 摘要: |
| 基于考生在网络考试过程中的行为数据，分析了有抄袭行为和无抄袭行为的学生在考试过程中所记录的各种数据之间的差别；数据主要包括每个学生对每个题目的答题开始时间、答题结束时间、答题时长、答案、答题次数、答案修改次数等；最终发现两个有抄袭嫌疑的学生在答题的时间和答案上具有极高的相似度；通过两个学生答题的时间重叠度和答案的汉明距离两个因素建立模型，证明模型所给出的数值能够反映考生的抄袭嫌疑，具有一定的实践意义。 |
| 关键词: 网络考试 人工智能 行为检测 |
| DOI： |
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| Research on the Mutual Plagiarism Detection Algorithm Based on the Online Behavior of the Examinees |
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CHANG Yong hu1, LUO Xu2, LI Hu yang1
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| Abstract: |
| Based on the behavioral data of the students in the process of network test, this paper analyzes the differences between various data from students who have plagiarism and non plagiarism in the test process. The data mainly include the start time, the end time, the time length and the times of answering, the answers and the times of modifing answers from each student’s answer to each question. Finally we found a very high similarity of answers and the time length of answering between two suspected plagiarism students in answering question. Therefore, this paper establishes a model based on the two factors that the two students’ answer time overlap and hamming distance of answers. The experimental results show that the numerical results given by the model can reflect the suspicion of plagiarism and the model has some practical significance. |
| Key words: online examination artificial intelligence behavior monitoring |
