應用潛在語意分析於試題相似度比對
-以中華民國物流協會認證題庫為例

黃巧媛

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每个DOI号前面加上「 http://dx.doi.org/ 」便成为永久网址。
如以DOI号为 10.5297/ser.1201.002 的文献为例，此文献的永久连结便是： http://dx.doi.org/ 10.5297/ser.1201.002 。
日后不论出版单位如何更动此文献位置，永久连结所指向的位置皆会即时更新，不再错失重要的研究。

引用含有DOI的文献

有DOI的文献在引用时皆应同时引用DOI。若使用APA、Chicago以外未规范DOI的引用格式，可引用DOI永久连结。

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。如想对DOI的使用与概念有进一步了解，请参考（）。

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应用潜在语意分析於试题相似度比对 -以中华民国物流协会认证题库为例

Apply the Latent Semantic Analysis for Similarity Comparison of Examination Questions －Case Study of Certification Exam by Taiwan Association of Logistics Management

黄巧媛 , 硕士　　导师：陈志腾　　

繁体中文

数位学习；文字探勘；潜在语意分析；向量空间模型；试题相似性； e-Learning ； Text Mining ； Latent Semantic Analysis ； Vector Space Model ； Exam Questions Similarity

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摘要 │ 参考文献 (68) │ 国际计量

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In recent years, the booming Internet has brought the new style of learning. Unlike the traditional learning, e-learning gets popular increasingly. Nowadays, more and more people are using e-learning approach. When evaluating the effect of learning, the traditional classroom uses paper and pencil tests to measure the learning effect. However, e-learning would use online exam tests to evaluate. Nevertheless, the current online exam system can not directly determine and compare the similarity between exam questions in the item pool. Therefore, this study is going to take advantage of Latent Semantic Analysis (LSA) to evaluate the degree of similarity between exam questions. To achieve the goal of avoiding the appearance of similar exam questions or concepts, I hope this analysis approach can be applied to the advance evaluation of setting online exam in the future.

In this study, the results show that:
(i)	In the experimental design regarding removing verbiages or not, removing verbiages is a better way to judge the similarity.
(ii)	In general word segmentation system, logistics terminology is not able to conduct an efficient result yet. Therefore, the result is still without the significant outcomes.
(iii)	In the process of calculating the similarity with LSA, the magnitude of dimension reduction will affect the efficiency when judging the exam question. How the dimension reduction is depends on critical parameter for the practical application. Compared to the result of Vector Space Model (VSM), LSA can determine the similarity of exam questions more accurately.
To sum up, with regards to the similarity analyze for exam questions by LSA and VSM, LSA could precisely determine the similarity. Consequently, LSA is a technique which is important for comparing the similarity of exam questions.

参考文献 ( 68 ) 〈TOP〉

Contreras-Piña, C., & Ríos, S. A. (2015). An empirical comparison of latent sematic models for applications in industry. Neurocomputing.
连结：
Feldman, R., & Dagan, I. (1995). Knowledge Discovery in Textual Databases (KDT). Paper presented at the KDD.
连结：
Feldman, R., & Sanger, J. (2007). The text mining handbook: advanced approaches in analyzing unstructured data: Cambridge University Press.
连结：
Huffaker, D. A., & Calvert, S. L. (2003). The new science of learning: Active learning, metacognition, and transfer of knowledge in e-Learning applications. Journal of Educational Computing Research, 29(3), 325-334.
连结：
Martin, D. I., & Berry, M. W. (2007). Mathematical foundations behind latent semantic analysis. Handbook of latent semantic analysis, 35-56.
连结：

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使用DOI作为永久连结

引用含有DOI的文献

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。 如想对DOI的使用与概念有进一步了解，请参考 （ ） 。

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。如想对DOI的使用与概念有进一步了解，请参考（）。