【摘要】 为了解决现有算法大多只能得到作业间的相似程度,无法判定抄袭关系这一难题,在华南理工大学特色专业教学平台作业抄袭检测模块的基础上,设计了一个作业辅助评改模型.使用层次聚类方法对使用相同抄袭源的学生进行归类,并运用层次分析法对教学平台中采集的学生学习行为和学习结果数据进行加权分析,从而得出学生抄袭可能性的一个排序,为抄袭关系判定提供依据.该模型已用于华南理工大学特色专业教学平台(LMS3.0)中的作业辅助评改模块,为教师在线检查作业提供了一种快捷有效的信息化手段.更多还原

【Abstract】 Plagiarist detection is a complicate topic in plagiarism detection area.Most existing algorithms can only compare similarity between assignments,but not detect plagiarist.We designed a homework assessment model based on existing plagiarism detection module on Characteristic Specialty Learning Platform(LMS)of South China University of Technology(SCUT).With hierarchical clustering to classify students′homework that from the same copy source,and with analytic hierarchy process to analyze the influencing factor of students performance statistics data from the learning platform,we can obtain a sorted result of possibilities of plagiarism to find the plagiarist.The model has been used on LMS3.0of SCUT,which provided an effective way for teacher to evaluate assignments.更多还原