| 姓名 |
蔡均宜(Jiun-yi Tsai)
查詢紙本館藏 |
畢業系所 |
資訊工程學系 |
| 論文名稱 |
參考既有學生發展模型分析影響大學生選擇學業方向之決定性因素
(Analyze the Decision Academic Directions Factors by Referring to Tinto′s Conceptual Model for Students Dropout from Colleges)
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| 相關論文 | |
| 檔案 |
 [Endnote RIS 格式]
[Bibtex 格式]
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| 摘要(中) |
近年生育率逐漸降低，大專生休退率卻自103年起逐年攀升，大專院校招生面臨衝擊，必須預防學生流失以維持整體校務經營與運作。教育部統計數據指出，臺灣大專生休學前兩大原因皆為自願退學而非成績未達標準，是否擁有特定特徵的學生會比其他學生更容易做出休退學的決定？而背後導致學生產生休退學動機的因素究竟又有哪些呢？
現今在國內外的大專生教育領域中，存在許多與學生休退學相關的發展理論，探討了可能導致學生做出休退學決定的相關因素，本研究將參考學生發展理論所提出的特徵，自校務倉儲資料庫挑選與特徵相關的欄位，嘗試以實證資料與因果規則探勘作為實驗資料來源與方法，探討導致學生做出休退學決定的相關因素與蘊含在資料集中豐富的因果規則，並將產生的因果規則與學生發展理論相互比較，檢視實驗結果與理論的呼應程度。藉此提供給校內行政作為教育方針規劃的參考，協助大專生生涯發展歷程建立有效學習制度，降低休退率的同時亦提升學生在校互動與學習成效。 |
| 摘要(英) |
Recently, the fertility rate has gradually decreased, but the dropout rate of college students has been increasing year by year. The enrollment of colleges is facing an impact. Statistics from the Ministry of Education point out that both the top two reasons for college students in Taiwan to suspend their studies are voluntary dropout rather than substandard grades. Are students with certain characteristics more likely to make the decision to suspend their studies than other students? And what are the factors behind the motivation of students to dropout?
In the field of college education, there are many development theories related to student dropout. We try to use empirical data and causal rule mining as experimental data sources and methods, and explores the relevant factors that lead students to decide to dropout. The resulting causal rules are compared with the student development theory to examine how well the rules correspond to the theory. This provides the school administration as a reference for educational policy planning, assists the career development of college students to establish an effective learning system, reduces the dropout rate, and improves students′ interaction and learning effectiveness in school. |
| 關鍵字(中) |
★ 校務研究
★ 因果規則探勘
★ 休退學 |
關鍵字(英) |
★ institutional research
★ causal rule mining
★ student dropout |
| 論文目次 |
摘要 - 1 -
Abstract - 2 -
目錄 - 3 -
圖目錄 - 5 -
表目錄 - 5 -
一、 緒論 1
1. 研究背景及動機 1
2. 研究目的 4
二、 文獻探討 6
1. 學生發展理論 6
2. 資料倉儲與線上分析處理(OLAP) 9
3. 關聯規則與因果規則探勘 10
三、 研究方法 14
1. 系統架構與流程 14
2. 特徵欄位挑選 14
3. 資料前處理 15
4. 因果規則定義與驗證 15
5. 模型比對驗證 17
四、 實驗 19
1. 實驗環境與規格 19
2. 資料筆數、所需運算時間及產生資料集大小 19
3. 資料欄位與資料前處理 20
4. 因果規則討論 23
五、 結論與討論 31
六、 參考文獻 41 |
| 參考文獻 |
[1] Ministry of Education. 2021. Education Statistics the Republic of China ver. 2021.
https://stats.moe.gov.tw/files/ebook/Education_Statistics/110/110edu.pdf
[2] Vincent Tinto. 1975. Dropout from Higher Education: A Theoretical Synthesis of Recent Research. Review of Educational Research, Winter 1975, Vol. 45, No. 1, 89-125
[3] A.W. Astin. 1984. Student involvement: A developmental theory for higher education. Journal of College Student Personnel, 25, 297–308.
[4] R.B. Barr. 1987. An Essay on School Dropout for the San Diego Unified School, District. Eric Document Reproduction Serve No. ED279733
[5] J.D. Finn. 1993. School engagement and students at risk. Washington, DC：National Center for Education Statistics.
[6] "OLTP vs. OLAP". Datawarehouse4u.Info. 2009 [7] J. Han, M. Kamber. Data Mining: Concepts and Techniques. Morgan Kaufmann: 2000
[8] Rakesh Agrawal and Ramakrishnan Srikant Fast algorithms for mining association rules. Proceedings of the 20th International Conference on Very Large Data Bases,VLDB, pages 487-499, Santiago, Chile, September 1994.
[9] Han (2000). "Mining Frequent Patterns Without Candidate Generation". Proceedings of the 2000 ACM SIGMOD international conference on Management of data – SIGMOD ′00. Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data. SIGMOD ′00. pp. 1–12.
[10] J. W. Song and K. C. Chung. 2010. Observational studies: Cohort and case-control
studies. Plastic and Reconstructive Surgery 126, 6, 2234–2242. [11] “Retrospective Cohort” http://clio.stanford.edu:7080/cocoon/cliomods/trailmaps/design/design/retrospectiveCohort/index.html. 2006
[12] Birth weight and mortality in childhood in Norway. Am J Epidemiol. 1998 Nov 15;148(10):983-91. doi: 10.1093/oxfordjournals.aje.a009575.
[13] Jiuyong Li, Thuc Duy Le, Lin Liu, Jixue Liu, Zhou Jin, Bingyu Sun, and Saisai Ma. 2015. From observational studies to causal rule mining. ACM Trans. Intell. Syst. Technol. 7, 2, Article 14 (November 2015), 27 pages. [14] Wayne W. LaMorte, MD, PhD, MPH. Boston University School of Public Health. “Overview of Analytic Studies”.
[15] 中央大學學則第四十條. 2018.
[16] 空軍官校一年級學生退學意圖原因初探. 2021. 陳純真.
[17] 大學轉學生轉學因素與轉學適應之研究--以六所大學為例. 2008. 洪錦珠. |
| 指導教授 |
蔡孟峰(Meng-Feng Tsai)
|
審核日期 |
2022-7-7 |
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