臺灣人文及社會科學引文索引資料庫系統

:::

詳目顯示

回上一頁
第 1 筆 / 總合 1 筆   第一頁 上一頁 下一頁 最後一頁
/1頁
題名：資料探勘於校務研究之應用--以學生回饋教學反應為例
書刊名：教育研究月刊
作者：童冠燁／黃仁鵬／蔡全鋒
作者(外文)：Tung, Kuan-yeh／Huang, Jen-peng／Cai, Cyuan-fong
出版日期：2017
卷期：280
頁次：頁106-118
主題關鍵詞：校務研究；教學品保；資料探勘；Institutional research；Teaching quality assurance；Data mining
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:0
  • 點閱點閱:14
期刊論文
1.林靜慧、陳俊宏(20170100)。校務研究與內部品質保證。評鑑雙月刊，65，9-12。  延伸查詢new window
2.Bonaccorsia, A.、Cicerob, T.(2016)。Nondeterministic ranking of university departments。Journal of Infdrmetrics，10，224-237。  new window
3.Daniel, B.(2015)。Big data and analytics in higher education: Opportunities and challenges。British Journal of Educational Technology，46(5)，904-920。  new window
4.Daraio, C.、Bonaccorsi, A.、Simar, L.(2015)。Rankings and university performance: A conditional multidimensional approach。European Journal of Operational Research，244，918-930。  new window
5.Darwin, S.(2016)。What contemporary work are student ratings actually doing in higher education?。Studies in Educational Evaluation，54，13-21。  new window
6.Emani, C. K.、Cullot, N.、Nicolle, C.(2015)。Understanding big data: A survey。Computer Science Review，17，70-81。  new window
7.Hassanain, M.、Anil, S.、Abdo, A.(2016)。Institutional research evaluation model (IREM): A framework for measuring organizational research trends and impact and its application in medical academia in Saudi Arabia。Journal of Epidemiology and Global Health，6(4)，249-256。  new window
8.Huang, M.-H.、Chen, D.-Z.(2016)。How can academic innovation performance in university-industry collaboration be improved?。Technol Forecast. Soc. Change，123，210-215。  new window
9.Kapetaniou, C.、Lee, S. H.(2016)。A framework for assessing the performance of universities: The case of Cyprus。Technological Forecasting and Social Change，123。  new window
10.Ognjanovic, I.、Gasevic, D.、Dawson, S.(2016)。Using institutional data to predict student course selections in higher education。Internet and Higher Education，29，49-62。  new window
11.Park, Y.、Yu, J.-H.、Jo, I.-H.(2016)。Clustering blended learning courses by online behavior data: A case study in a Korean higher education institute。Internet and Higher Education，2(9)，1-11。  new window
12.Walker, C.、Gleaves, A.(2016)。Constructing the caring higher education teacher: A theoretical framework。Teaching and Teacher Education，54，65-76。  new window
13.Yaqoob, I.、Hashem, I. A. T.、Gani, A.、Mokhtar, S.、Ahmed, E.、Anuar, N. B.、Vasilakos, A. V.(2016)。Big data: from beginning to future。International Journal of Information Management，36(6)，1231-1247。  new window
圖書
1.Manyika, J.、Chui, M.、Brown, B.、Bughin, J.、Dobbs, R.、Roxburgh, C.、Byers, A. H.(2011)。Big Data: The Next Frontier for Innovation, Competition, and Productivity。McKinsey and Co.。  new window
2.Davis, K.、Patterson, D.(2012)。Ethics of big data: Bahancing risk and innovation。Sebastopol, CA：O'Reilly Media。  new window
3.Liebowitz, J.(2013)。Big data and business analytics。New York, NY：Taylor & Francis。  new window
4.Liebowitz, J.(2014)。Business analytics: An introduction。New York, NY：Taylor & Francis。  new window
5.Liebowitz, J.(2014)。Bursting the big data bubble: The case for intuition-based decisionmaking。New York, NY：Taylor & Francis。  new window
6.Mayer-Schonberger, V.、Cukier, K.(2013)。Big data: A revolution that w ill transform how we live, work, and think。Boston, MA：Houghton Mifflin Harcourt。  new window
其他
1.教育部(2017)。93-105學年大專校院新生註冊率，http://depart.moe.edu.tw/ED4500/Common/HitCount.ashx?p=5654E57C0E0301BlB751B7B5FlC5FC87AD99BF51E6ClAA66769E9B85CD3FACF99957FCF2AADDD3CCF926968CD815E39FC2F6485360AB2662CC649766BA6577AEDE76B02B84ED1F99362A0BE97A3260CABBAE3D09DA577E271B489BA4E4DB0840&ty。  延伸查詢new window
2.Kusnetzky, Dan(20100216)。What is "big data? "，https://www.oracle.com/big-data/what-is-big-data/。  new window
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
QR Code
QRCODE

臺灣人文及社會科學引文索引資料庫

目前上線人數：604（臺灣：580，外國：24） ／ 本年度總使用人次：1614293 ／ 訪客人次（自102年09月）：67424474
國家圖書館著作權聲明 Copyright © 2013 All rights reserved.
本館地址: 100201臺北市中山南路20號． 本館地圖及交通資訊．
總機：(02)23619132．最佳瀏覽解析度為1024x768以上