On Evaluation of the Teaching Quality Based on Student Satisfaction——Based on the Investigation and Analysis of University of Science and Technology Beijing

YANG Xiao-ming; LONG Wen-bi; LV Lu-ping; LI Hong; WANG Xiao-xiao

Volume 31 Issue 3

Jun. 2021

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Article Navigation > Journal of University of Science and Technology Beijing ( Social Sciences Edition) > 2015 > 31(3): 102-113

LIU Bin-zhi. The Status and Function of Social Work in Building Harmonious Society[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2005, 21(4): 59-61.

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YANG Xiao-ming, LONG Wen-bi, LV Lu-ping, LI Hong, WANG Xiao-xiao. On Evaluation of the Teaching Quality Based on Student Satisfaction——Based on the Investigation and Analysis of University of Science and Technology Beijing[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2015, 31(3): 102-113.

LIU Bin-zhi. The Status and Function of Social Work in Building Harmonious Society[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2005, 21(4): 59-61.

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On Evaluation of the Teaching Quality Based on Student Satisfaction——Based on the Investigation and Analysis of University of Science and Technology Beijing

1. School of Humanities and Social Science of USTB, Beijing 100083, China;
2. Office of Academic Affairs of USTB, Beijing 100083, China

Received Date: 2015-03-08
Available Online: 2021-06-16

Abstract

Abstract

Student satisfaction is an important reference of the teaching quality.Evaluation system of satisfaction of teaching quality is designed，measurement scale is presented，and validity&reliability test is conducted in this paper.Graduates of 2011 annual from the University of Science and Technology Beijing are research objects in the paper.The method of stratified random sampling is adopted，614 graduates involved in the survey，and attempting to monitor the teaching quality of under graduate education macroscopically from the perspective of students.The decision tree model is used to discuss the main characteristics of unsatisfied student group and a neural network model is used to analyze the importance of various influence factors of student satisfaction.
- student satisfaction,
- teaching quality,
- evaluation

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