@article{(Open Science Index):https://publications.waset.org/pdf/10003510,
	  title     = {Group Learning for the Design of Human Resource Development for Enterprise},
	  author    = {Hao-Hsi Tseng and  Hsin-Yun Lee and  Yu-Cheng Kuo},
	  country	= {},
	  institution	= {},
	  abstract     = {In order to understand whether there is a better than the
learning function of learning methods and improve the CAD Courses
for enterprise’s design human resource development, this research is
applied in learning practical learning computer graphics software. In
this study, Revit building information model for learning content,
design of two different modes of learning curriculum to learning,
learning functions, respectively, and project learning. Via a post-test,
questionnaires and student interviews, etc., to study the effectiveness
of a comparative analysis of two different modes of learning. Students
participate in a period of three weeks after a total of nine-hour course,
and finally written and hands-on test. In addition, fill in the
questionnaire response by the student learning, a total of fifteen
questionnaire title, problem type into the base operating software,
application software and software-based concept features three
directions. In addition to the questionnaire, and participants were
invited to two different learning methods to conduct interviews to
learn more about learning students the idea of two different modes.
The study found that the ad hoc short-term courses in learning, better
learning outcomes. On the other hand, functional style for the whole
course students are more satisfied, and the ad hoc style student is
difficult to accept the ad hoc style of learning.},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {10},
	  number    = {1},
	  year      = {2016},
	  pages     = {234 - 237},
	  ee        = {https://publications.waset.org/pdf/10003510},
	  url   	= {https://publications.waset.org/vol/109},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 109, 2016},
	}