Development of a reading material recommendation system based on a knowledge engineering approach.�

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dc.contributor國立臺灣師範大學科技應用與人力資源發展學系zh_tw
dc.contributor.authorHsu, C. K.en_US
dc.contributor.authorHwang, G. J.en_US
dc.contributor.authorChang, C. K.en_US
dc.date.accessioned2014-10-30T09:34:50Z
dc.date.available2014-10-30T09:34:50Z
dc.date.issued2010-08-01zh_TW
dc.description.abstractIn a language curriculum, the training of reading ability is one of the most important aspects. Previous studies have shown the importance of assigning proper articles to individual students for training their reading ability; nevertheless, previous experience has also shown the challenges of this issue owing to the complexity of personal factors as well as the diverse properties of the candidate articles to be taken into consideration. This study proposes a knowledge engineering approach for developing reading material recommendation systems by eliciting domain knowledge from multiple experts. Experimental results on 29 senior high school students show that the developed system is able to provide expert-like recommendations to the students by taking preferences and knowledge levels of individual students as well as categories and traits of articles into consideration.en_US
dc.description.urihttp://www.sciencedirect.com/science/article/pii/S036013150900339Xzh_TW
dc.identifierntnulib_tp_E0207_01_002zh_TW
dc.identifier.issn0360-1315zh_TW
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/36119
dc.languageenzh_TW
dc.publisherELSEVIERen_US
dc.relationComputers & Education, 55(1), 76-83.en_US
dc.relation.urihttp://dx.doi.org/10.1016/j.compedu.2009.12.004zh_TW
dc.subject.otherImproving classroom teachingen_US
dc.subject.otherIntelligent tutoring systemsen_US
dc.titleDevelopment of a reading material recommendation system based on a knowledge engineering approach.�en_US

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