灰色優勢分析之應用研究

dc.contributor洪欽銘zh_TW
dc.contributorChin-Ming Hongen_US
dc.contributor.author鄭琇文zh_TW
dc.contributor.authorHsiu-Wen Chengen_US
dc.date.accessioned2019-09-04T02:38:50Z
dc.date.available2016-8-29
dc.date.available2019-09-04T02:38:50Z
dc.date.issued2011
dc.description.abstract本研究旨在探討根據學生大學入學指定科目考試成績與日後大學必修專業科目學業成績,利用灰色系統理論關聯度分析中之優勢分析,以學生入學指定科目考試各科之原始成績做為母因素,學生入學後的各必修專業科目學業成績做為子因素,進行灰色優勢分析;藉此得知哪一入學指定科目考試之表現,對於日後就讀必修專業科目學業成績之影響會較為突出,進而提供適當的加權建議,使各系所在選擇上能夠有所依據,以期能獲得更為合適之學生。 本研究以國立臺灣師範大學科技學院及理學院共五個系所為研究對象,分析比較其修讀必修專業科目之學業成績表現,與大學指定科目考試之原始成績,並發現兩者之間確實存在著某種程度的相互影響,因此提出適當的加權建議,供各系所做為調整各科加權之參考。zh_TW
dc.description.abstractThis thesis compares the results of various subjects taken in the joint college entrance exam with the performance of future college studies. We’ve applied the Grey Advantage Analysis, using the exam marks as a dominant factor and the achievements of students in college as a sub-factor, to investigate the relationship between the two. The objective of this thesis is to provide departments with a more solid basis for adjusting weightings of the designated subjects to screen suitable students. Samples from five departments of the National Taiwan Normal University are used in this research. To a certain extent, the entrance exam grades have an influence on academic achievements for students during their college study. Hence, departments can adjust the weightings of the designated subjects according to the analysis conducted in this research.en_US
dc.description.sponsorship工業教育學系zh_TW
dc.identifierGN0696700153
dc.identifier.urihttp://etds.lib.ntnu.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dstdcdr&s=id=%22GN0696700153%22.&%22.id.&
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw:80/handle/20.500.12235/99101
dc.language中文
dc.subject灰色系統理論zh_TW
dc.subject灰色優勢分析zh_TW
dc.subject學業成績zh_TW
dc.subject大學入學指定科目考試zh_TW
dc.subjectGrey System Theoryen_US
dc.subjectGrey Advantage Analysisen_US
dc.subjectAcademic Achievementsen_US
dc.subjectJoint College Entrance Examen_US
dc.title灰色優勢分析之應用研究zh_TW
dc.titleThe Research and Application of Grey Advantage Analysisen_US

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