An Evaluation Index System of Physical Education Quality Based on Analytic Hierarchy Process Model (AHP)

Article Preview

Abstract:

In today’s competitive educational environment, the quality of physical education is ever more recognized as a fundamental factor in gaining competitive advantage. The evaluation and improvement of the quality of physical education in higher education is an important issue of on-going concern. The aim of this article is to focus on an automated management and evaluation system to efficiently control the administration of physical education. Reported in this article is an evaluation index of the quality of undergraduate education, and an analytic hierarchy process (AHP) model that is both practical and has proven to be successful. The results of the presented case study demonstrate the practicability and effectiveness of this model in physical education quality evaluation.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

5250-5253

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Siddiqui, A.T. and Masud, M., An e-learning system for quality education. Inter. J. of Computer Science Issues, 9, 4, 375-380 (2012).

Google Scholar

[2] Kukulska-Hulme, A., How should the higher education workforce adapt to advancements in technology for teaching and learning? Internet and Higher Educ., 15, 4, 247-254 (2012).

DOI: 10.1016/j.iheduc.2011.12.002

Google Scholar

[3] Doloswala, K.N., Thompson, D. and Toner, P., Digital based media design: the innovative contribution of design graduates from vocational and higher education sectors. Inter. J. of Technol. and Design Educ., 23, 2, 409-423 (2013).

DOI: 10.1007/s10798-011-9186-0

Google Scholar

[4] Pears, A.N., Does quality assurance enhance the quality of computing education? Proc. Conf. on Research and Practice in Infor. Technol. Series, Brisbane, Australia, 9-14 (2010).

Google Scholar

[5] Pires, A., Chang, N-B. and Martinho, G., An AHP-based fuzzy interval TOPSIS assessment for sustainable expansion of the solid waste management system in Setubal Peninsula, Portugal. Resources, Conservation and Recycling, 56, 1, 7-21 (2011).

DOI: 10.1016/j.resconrec.2011.08.004

Google Scholar

[6] Kirkwood, A. and Price, L., Examining some assumptions and limitations of research on the effects of emerging technologies for teaching and learning in higher education. British J. of Educational Technol., 44, 4, 536-543 (2013).

DOI: 10.1111/bjet.12049

Google Scholar