基于多特征融合的主观题智能阅卷算法研究 |
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引用本文: | 乔亚男,胡名凯,薄钧戈.基于多特征融合的主观题智能阅卷算法研究[J].微电子学,2021,43(6). |
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作者姓名: | 乔亚男 胡名凯 薄钧戈 |
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作者单位: | 西安交通大学计算机学院计算机教学实验中心,西安交通大学计算机学院计算机教学实验中心,西安交通大学计算机学院计算机教学实验中心 |
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基金项目: | 教育部基础学科拔尖学生培养计划2.0研究课题(项目编号: 20212086),西安交通大学教学改革研究专项项目(项目编号:17ZX026),陕西高等教育教学改革研究项目(项目编号:19BY002),西安交通大学本科教学改革研究项目(拔尖专项, 项目编号:20BJ05Y)。 |
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摘 要: | 为了实现在线考试主观题智能阅卷,本文提出了一个基于多特征融合的主观题智能阅卷算法,首先,分别设计两种算法:关键词相似度算法和语义相似度算法,计算学生答案和标准答案之间的关键词相似度和语义相似度;然后,利用题目的题型和科目作为特征值,分别计算出关键词相似度的权值和语义相似度的权值,并利用两权值计算出学生答案的最终得分;最后,以某在线学习平台历年考试数据作为数据集,对该主观题智能阅卷算法进行训练和实验。实验表明,本文提出的基于多特征融合的主观题智能阅卷算法,能有效主观题智能阅卷算法的准确性,具有较好的应用前景。
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关 键 词: | 智能阅卷 关键词相似度 语义相似度 特征融合 |
收稿时间: | 2021/4/30 0:00:00 |
修稿时间: | 2021/7/25 0:00:00 |
Research on Subjective Intelligent Marking Algorithm based on Multi-feature Fusion |
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Affiliation: | Xi''an Jiaotong University,, |
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Abstract: | in order to realize intelligent marking of subjective questions in online exams, this paper proposes an intelligent mark-ing algorithm for subjective questions based on multi-feature fusion. First, two algorithms are designed respectively: keyword similarity algorithm and semantic similarity algorithm, to calculate the keyword similarity and semantic similarity between students'' answers and standard answers.Then, using the question type and subject as the eigen-value, the weights of keyword similarity and semantic similarity were calculated respectively, and the final scores of students'' answers were calculated by using the two weights.Finally, taking the test data of a middle school online learning platform over the years as the data set, this paper conducts training and experiment on the subjective intelli-gent marking algorithm.The experiment shows that the intelligent marking algorithm based on multi-feature fusion proposed in this paper is effective and accurate, and has a good application prospect. |
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