運用資料探勘技術於建置招生 決策支援系統之研究

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林怡均(Yi-chun Lin) 查詢紙本館藏

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資訊管理學系

論文名稱

運用資料探勘技術於建置招生決策支援系統之研究
(Development of Higher Education Enrollment Decision Support System Using Data Mining Technology)

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摘要(中)

高等教育發展於人才培育中是不可或缺的角色，且為了符合聯合國教育科學文化組織所提出教育政策，應滿足公平、適切和卓越三項原則。各大專院校系所自行制訂該系所的入學標準，以適切的入學標準、公平審核學生資格，並期望錄取之學生能有卓越表現。因此，本篇論文旨在探討入學標準是否符合系所特色，且欲了解學生潛質對於系所課程表現的影響，進而了解學生潛質是否符合該系所之特色，以達成適性揚才之目標。本研究利用資料探勘中分類、屬性選擇及關聯規則之技術，來發現影響學業表現因子，並且歸納、建立規則模型，然後依據此模型建置協助招生及決策人員所使用之決策支援系統並能給予建議，以作為提供招生委員會修改入學標準之建議。

摘要(英)

In higher education, the selection of future students are critical to the success of education. Every universities establish their own admission criteria. Using the relevant admission criteria and equally examine applicants’ qualification, hoping to enroll the applicant which has excellent performance. Therefore, this research aims to establish a model for determine the suitable admission criteria for the features of the department. In order to understand the influence between the potential capability of student and specific subject, and further comprehend whether capability of student correspond to the features of the department or not.This paper apply data mining techniques including classification, attribute selection and association to discover the factors of affecting study performance and establish the model. The Decision Support Systems is built based on this model. It support admission committee to enroll students and moderfy the admission criteria.

關鍵字(中)

★ 高等教育
★ 招生條件
★ 商業智慧
★ 資料探勘
★ 決策樹
★ 關聯規則

關鍵字(英)

★ Higher education
★ Admission criteria
★ Business intelligence
★ Data mining
★ Decision tree
★ Association rule

論文目次

目錄
摘要 i
Abstract ii
目錄 iii
圖目錄 vi
表目錄 vii
第一章緒論 1
1.1 研究背景 1
1.2 研究動機與問題 2
1.3 研究目的 3
1.4 研究假設 4
1.5 論文架構 4
第二章文獻探討 6
2.1 大學招生及遴選 6
2.2 學業表現預測 7
2.3 商業智慧與資料探勘 8
2.3.1 資料探勘之概述 9
2.3.2 資料探勘之技術 10
2.3.3 資料探勘之工具介紹 11
2.4 應用資料探勘於預測學業表現之相關研究 13
第三章、研究方法 14
3.1 研究架構圖 14
3.2 模型步驟介紹 16
3.2.1 步驟一：輸入資料 16
3.2.2 步驟二：彙整資料 17
3.2.3 步驟三：資料探勘 17
3.2.4 步驟四：輸出結果 20
3.2.5 步驟五：維護系統 20
第四章研究展示 21
4.1 資料描述 22
4.1.1 原始資料 22
4.1.2 資料合併 23
4.2 資料探勘 25
4.2.1 資料預處理 25
4.2.2 資料結構描述 37
4.2.3 預測學生四年表現之規則 39
4.2.4 學測成績與入學後學業表現關聯 44
4.2.5 建立系統 48
第五章系統展示 49
5.1 遴選系統關鍵人員 49
5.2 系統架構以及情境說明 49
5.3 系統操作步驟 51
5.4 系統分析結果 60
第六章討論與結論 61
6.1 研究結果 61
6.1.1 學生潛能關聯性 61
6.1.2 修改訂定入學標準 63
6.1.3 其他相關討論 63
6.2 研究貢獻 64
6.3 研究限制 65
6.4 未來展望 65
6.5 實際採用本系統 66
參考文獻 67

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指導教授

陳仲儼、許文錦(Chung-yang Chen Wen-chin Hsu)

審核日期

2015-7-8

推文