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Lecture Structure Based Automatic Item Classification on an Examination System

In this paper, we present a automatic item classification system,called AICS. This system is according the content structure that are provided from the teacher for create a content tree. This content tree can correlate the item with content. The main works of AICS classify the item and find the most similar content. After than the system compute the relationship between the item and content, AICS can automatic compute the difficulty of item and examination. The work of this research has two categories: 1. The system can show the content that are related to the item and help the teacher understand the difficulty of the examination paper quickly. 2. When after the examination, the system provide the content for student understand the irrelevant items.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0819107-205504
Date19 August 2007
CreatorsFeng, Chi-hui
ContributorsChun-Hung Lin, Mon-Yen Luo, Lih-Shyang Chen, Chu-Sing Yang, Jiun-Huei Ho
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819107-205504
Rightswithheld, Copyright information available at source archive

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