Volume 4 Number 3 (Jun. 2014)
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IJEEEE 2014 Vol.4(3): 203-206 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2014.V4.331

An Evaluation of the Visual Presentation e-Learning on Engineering Drawing by Using the S-P Chart Analysis

David W. S. Tai, Ren-Cheng Zhang, and Jia-Ling Chen
Abstract— This study was aimed to apply the S-P chart analysis to evaluate vocational high school students’ learning achievement in the subject of the engineering drawing course by using visual presentation e-learning. The S-P chart analysis could provide the instructors two caution indices - the caution index for students and the caution index for problems. In addition, the paired-sample t test was used to verify the students’ learning achievement. After 8 weeks experimental teaching, this study found that the most of the students’ learning type was effective, however, some students’ learning condition were still insufficient. The findings could help understanding the learning conditions and learning types before and after the experimental teaching in visual presentation e-learning.

Index Terms— S-P chart analysis, engineering drawing, visual presentation, learning achievement, caution index.

David W. S. Tai is with the Dept. of Computer Science and Information Management, Hungkuang University, Taichung 43302, Taiwan (e-mail: david60123@gmail.com).
Ren-Cheng Zhang and Jia-Ling Chen are with the Dept. of Industrial Education and Technology, National Changhua University of Education, Changhua 500, Taiwan (e-mail: clayclctw@hotmail.com; d97311003@gmail.com).

Cite: David W. S. Tai, Ren-Cheng Zhang, and Jia-Ling Chen, " An Evaluation of the Visual Presentation e-Learning on Engineering Drawing by Using the S-P Chart Analysis," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 4, no. 3, pp. 203-206, 2014.

General Information

ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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