Volume 8 Number 4 (Dec. 2018)
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IJEEEE 2018 Vol.8(4): 240-247 ISSN: 2010-3654
doi: 10.17706/ijeeee.2018.8.4.240-247

An Institutional Research of the Relationship between Student 's Academic Performance and Practice Performance in University of Technology

Chien-Chih Wang, Wei-Ting Yu
Abstract—In Taiwan, internships are critical for technical and vocational education. Through the appropriate internship, arrangements allow students to lay the foundation for learning to enhance the employment capacity of graduates. In the study, from the historical data to analyze the academic performance of the internship and internship job satisfaction rules. The Ming Chi University of Technology (MCUT) overseas practical training program that began in 2006 has become the pioneer among all universities and colleges in the world. Therefore, using Industrial Engineering and Management (IEM) students of MCUT as an example and adopted data analysis techniques for model building. Results showed that the most relevant subjects for internship satisfaction are production system and information systems. The subject of scores influence internship scores to some extent, among which production control, basic concepts, and information programming are of more importance. The study provided to schools in arranging courses and first-year students in the selection of classes for reference.

Index Terms—Institutional research, off-campus internships, statistical decision model, learning outcome.

The authors are with Industrial Engineering and Management, Ming Chi University of Technology, Taiwan (email: ieccwang@mail.mcut.edu.tw).

Cite: Chien-Chih Wang, Wei-Ting Yu, "An Institutional Research of the Relationship between Student 's Academic Performance and Practice Performance in University of Technology," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 8, no. 4, pp. 240-247, 2018.

General Information

ISSN: 2010-3654
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
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