Apply Kano Quality Model and Data Mining to Analyzing Relationship among Pre- and Post- Entrance Performance of Students, and Entrance Evaluation Criteria
碩士 === 國立交通大學 === 土木工程系所 === 105 === The aim of this research is to understand relationship among pre-and post- entrance performance of department of civil engineering students, and entrance evaluation criteria. Put forward the feasibility of kano model in entrance evaluation criteria. Apply associa...
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ndltd-TW-105NCTU50150572019-05-16T00:08:11Z http://ndltd.ncl.edu.tw/handle/2kmjxc Apply Kano Quality Model and Data Mining to Analyzing Relationship among Pre- and Post- Entrance Performance of Students, and Entrance Evaluation Criteria 以Kano二維模式及資料探勘分析大學土木系審查重點及學生入學前後表現 陳子唯 碩士 國立交通大學 土木工程系所 105 The aim of this research is to understand relationship among pre-and post- entrance performance of department of civil engineering students, and entrance evaluation criteria. Put forward the feasibility of kano model in entrance evaluation criteria. Apply association rule and cluster analysis to explore: (1) the relationship between student background and college grades, (2) the influencing factors of changing major, (3) prestigious school and place benefits; (4) the relationship among pre-and post- college entrance scores, (5) the relationship among the compulsory subject score of civil engineering. We found the difference of gender and high school categories would affect students’ college grades. Students were less likely to change their major, if their next of kin engaged in civil engineering industry. Then, different academic achievement or different graduated schools would affect college students’ academic performance. We also found association rule among the compulsory subjects. Moreover, Document review is more correct than SAT score, when predicting first-year college grades. 曾仁杰 2017 學位論文 ; thesis 96 zh-TW |
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碩士 === 國立交通大學 === 土木工程系所 === 105 === The aim of this research is to understand relationship among pre-and post- entrance performance of department of civil engineering students, and entrance evaluation criteria. Put forward the feasibility of kano model in entrance evaluation criteria. Apply association rule and cluster analysis to explore: (1) the relationship between student background and college grades, (2) the influencing factors of changing major, (3) prestigious school and place benefits; (4) the relationship among pre-and post- college entrance scores, (5) the relationship among the compulsory subject score of civil engineering.
We found the difference of gender and high school categories would affect students’ college grades. Students were less likely to change their major, if their next of kin engaged in civil engineering industry. Then, different academic achievement or different graduated schools would affect college students’ academic performance. We also found association rule among the compulsory subjects. Moreover, Document review is more correct than SAT score, when predicting first-year college grades.
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曾仁杰 |
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曾仁杰 陳子唯 |
author |
陳子唯 |
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陳子唯 Apply Kano Quality Model and Data Mining to Analyzing Relationship among Pre- and Post- Entrance Performance of Students, and Entrance Evaluation Criteria |
author_sort |
陳子唯 |
title |
Apply Kano Quality Model and Data Mining to Analyzing Relationship among Pre- and Post- Entrance Performance of Students, and Entrance Evaluation Criteria |
title_short |
Apply Kano Quality Model and Data Mining to Analyzing Relationship among Pre- and Post- Entrance Performance of Students, and Entrance Evaluation Criteria |
title_full |
Apply Kano Quality Model and Data Mining to Analyzing Relationship among Pre- and Post- Entrance Performance of Students, and Entrance Evaluation Criteria |
title_fullStr |
Apply Kano Quality Model and Data Mining to Analyzing Relationship among Pre- and Post- Entrance Performance of Students, and Entrance Evaluation Criteria |
title_full_unstemmed |
Apply Kano Quality Model and Data Mining to Analyzing Relationship among Pre- and Post- Entrance Performance of Students, and Entrance Evaluation Criteria |
title_sort |
apply kano quality model and data mining to analyzing relationship among pre- and post- entrance performance of students, and entrance evaluation criteria |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/2kmjxc |
work_keys_str_mv |
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