The Construction of Multidimensional Data Analysis Model for Taiwan's University Culture & Creative Industry Courses (CCIC)
Ming-Ju Hsu, Asso. Research Fellow, National Taiwan Normal University, Taiwan ; Chien-Yun Dai, Asso. Professor, National Taiwan Normal University, Taiwan ; Jung-Kai Cheng, Songshan High School of Agriculture and Industry, Taiwan ; Pai-Lun Lin, National Taiwan Normal University, Taiwan
EdMedia + Innovate Learning, in Montreal, Canada ISBN 978-1-880094-56-3 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
There are two main ideas in this research: the analysis of course data and exhibition of multidimensional cube. The first idea compares the number of courses among colleges and universities and the number of courses each department opened during academic year 2001 to 2003; the second idea is for building up the Multidimensional Data Analysis Model in Taiwan's University Cultural & Creative Industry Courses (CCIC) as a support tool to analyze and develop courses. The purpose of this research is that, by using data processing technology we will be able to identify and distinguish the differences between cultural and creative industrial courses' offering. As a result, this model will become the reference for appropriate authorities' uses in contributing and developing CCIC. Keyword: Cultural & Creative Industry Courses (CCIC), multidimensional cube, OLAP
Hsu, M.J., Dai, C.Y., Cheng, J.K. & Lin, P.L. (2005). The Construction of Multidimensional Data Analysis Model for Taiwan's University Culture & Creative Industry Courses (CCIC). In P. Kommers & G. Richards (Eds.), Proceedings of ED-MEDIA 2005--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 1759-1764). Montreal, Canada: Association for the Advancement of Computing in Education (AACE).
© 2005 Association for the Advancement of Computing in Education (AACE)
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Luigi Colazzo & Andrea Molinari, Dept. Computer and Management Sciences, Italy; Everin Orlandi, Informatics & Communication Division - University of Trento, Italy
EdMedia + Innovate Learning 2007 (Jun 25, 2007) pp. 1116–1120
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