The Assessment Factors Affecting the Quality of Teaching at Tay Do University in Can Tho City

Cite this:
Trang, T. T. K., & Nga, T. K. (2016). The Assessment Factors Affecting the Quality of Teaching at Tay Do University in Can Tho City. Journal of Business Management and Economics, 4(3), 25–31. https://doi.org/10.15520/jbme.2016.vol4.iss3.183.pp25-31
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Abstract

The University is a place where trains the skillful, scientific, engineering workforce in order to meet the demands of the high-qualified labors for our society. In the period 2011 to 2020, the focus will be to create the modern higher education system with the international integration and achieving the regional qualified level so that it can make the quality of Vietnam education system reach the world standards. The objectives of this paper were not only to look into the relevant literature but also to find common ground regarding the teaching quality at the Tay Do University in Can Tho City and reports the results of a survey of 500 students at the Tay Do University.

In this paper, the researchers used analytical method of explore factor analysis to determining that are components of students at the Tay Do University in Can Tho City. This paper conducted during the time from April 2015 to November, 2015. The research result showed that there were 500 students at the Tay Do University interviewed but 457 students processed and answered 13 questions. The researcher had analyzed KMO test, the result of KMO analysis used for multiple regression analysis. Students’ responses were measured through an adapted questionnaire on a 5-point Likert scale. Hard copy and online questionnaire were distributed among students in Can Tho City. In addition, the regression analysis result showed that there were seven factors, which included of factors following lecturer quality, facility quality actually affected the quality of teaching at Tay Do University in Can Tho City with 5 % significance level. The research results were processed from SPSS 20.0 software. The parameters of the model estimated by Least - Squares Method tested for the model assumption with 5% significance level.

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