摘要
为解决网络考试中主观题的自动判卷问题,分析教师阅卷时的思维过程,发现教师在评阅主观题时,根据答案的知识点和与标准答案吻合度给分。因此,提出在自动判卷时,可以把主观题的得分分为2部分:知识点得分及吻合度得分,并各占一定权重。首先将学生答案与标准答案知识点进行比较,计算出知识点得分。再利用模糊数学中的严格贴近度的计算机方法计算出学生答案与标准答案的吻合度得分,然后将知识点得分与吻合度得分相加,得出该题的最终得分的观点。
In order to solve the network examination of the automatic sentenced to roll subjective question, analysis of the teacher read thought process, found in subjective topic outlines the teacher, is based on answers with the knowledge and standard answer inosculation give points. Therefore, the paper puts forward the automatic judgment, can roll subjective topic scoring is divided into two parts： knowledge score and inosculation score, and each accounted for certain weights. First answer with the students compare standard answer knowledge, calculating the knowledge score. Reuse of fuzzy mathematics strictly similarity scale computer method is used to calculate the student to answer with the standard answer to score points, then inosculation with inosculation knowledge score points, the conclusion is drawn that this problem adding final score of point of view.
出处
《电子设计工程》
2011年第9期34-36,共3页
Electronic Design Engineering
关键词
模糊数学
网络考试
主观题
严格贴近度
fuzzy mathematics
network test
the subjective topic
strictly similarity scale
