| 摘要(英) |
Institutional Research has been a significant feature of higher education in other countries for many years. The main purpose of IR is to improve school operations and teaching performance. Let decision makers have effective scientific methods to analyze and make the most appropriate decision. Help higher education institutions to fight against rapid changes in education policy and society environment.
The wide coverage of topic of institutional research includes student affair, academic affair, personnel affair, general affair, etc. This paper focuses on finding causal rules from student portfolios including type of admissions, rewards and punishments, clubs, part-time jobs and questionnaire survey of graduation to analyze employment performance.
In order to discover useful causal relations and support decision making, in this paper, data from multi-dimensional data warehouse are seen to employed as input data. Though sequential pattern mining, explore the frequent patterns and obtain association rules. With these association rules, try to find sequences that might be causal rules. Finally, verify the credibility of these rules as causal rules. |
| 參考文獻 |
[1] Institutional Research, https://en.wikipedia.org/wiki/Institutional_research
[2] Association Institutional Research, https://www.airweb.org/
[3] 彭森明, 政府如何協助大專校院推展校務研究：美國經驗, 2015
[4] 常桐善、李佳(民104年9月)。美國大學辦學品質問責：加州大學案例探析。評鑑雙月刊，57
http://epaper.heeact.edu.tw/archive/2015/08/28/6406.aspx
[5] 高等教育深耕計畫,
https://zh.wikipedia.org/wiki/%E9%AB%98%E7%AD%89%E6%95%99%E8%82%B2%E6%B7%B1%E8%80%95%E8%A8%88%E7%95%AB
[6] Howard D.Richard, McLaughlin W.Gerald and Knight E.William, “The Handbook of Institutional Research”, Jossey-Bass Publishers, 2012
[7] Taiwan Association for Institutional Research, http://www.tair.tw/en-US/about/mission
[8] 王麗雲, 透過校務研究進行自我評鑑與自我改進, 2014, http://epaper.heeact.edu.tw/archive/2014/01/01/6103.aspx
[9] Strengthening Community College Institutional Research and Information, Public Agenda, 2011
[10] 李紋霞, 符碧真, 全球視野在地化的校務研究：教育科學研究期刊, 第六十二卷第四期, 2017
[11] Jiawei Han, Micheline Kamber and Jian Pei, Data mining concepts and techniques 3rd, Morgan Kaufmann, 2011
[12] Clint Fontanella, A Beginner′s Guide to Customer Behavior Analysis, HubSpot Blog, https://blog.hubspot.com/service/customer-behavior-analysis
[13] Bayes′ theorem, https://en.wikipedia.org/wiki/Bayes%27_theorem
[14] OddsRatio, https://en.wikipedia.org/wiki/Odds_ratio
[15] Cohort Study, https://en.wikipedia.org/wiki/Cohort_study
[16] IBM Knowledge Center, https://www.ibm.com/support/knowledgecenter/zh-tw
[17] Jiuyong Li, Thuc D le, Lin Liu and Jixue Liu,“Mining Causal Association Rules”, Proceedings of the 2013 IEEE 13th International Conference on Data Mining Workshops, 2013
[18] A. M. Euser, C. Zoccali, K. Jager, and F. W. Dekker, “Cohort studies: prospective versus retrospective,” Nephron Clinical Practice 113, pp. 214–217, 2009 |
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