Scientific processing method for course evaluation data in universities

Author

Ai, Dongmei ; Ning, Xiaojun ; Yang, Bo ; Li, Jianing

Author_Institution

Sch. of Math. & Phys., Univ. of Sci. & Technol. Beijing, Beijing, China

fYear

2011

fDate

15-17 Sept. 2011

Firstpage

574

Lastpage

576

Abstract

The present paper proposes a scientific approach to address existing weaknesses of data processing and algorithm for teaching evaluation in graduate education. First, "noising disposal" is conducted on raw data generated from the teaching evaluation system. Then, a teaching evaluation index system is developed according to the current situation of our university. The analytic hierarchy process is used to determine the weights of the teaching evaluation index. Finally, the fuzzy comprehensive evaluation method is applied to process teaching evaluation data. This algorithm effectively reduces the effect of evaluator subjectivity on the results, thereby improving the reliability and feasibility of the evaluation system.

Keywords

decision making; educational administrative data processing; educational courses; fuzzy set theory; teaching; analytic hierarchy process; course evaluation data; data processing; fuzzy comprehensive evaluation method; graduate education; scientific processing method; teaching evaluation index system; universities; Data processing; Educational institutions; Indexes; Mathematics; Noise; Reliability; analytic hierarchy process; evaluation index system; fuzzy comprehensive evaluation method; teaching evaluation data processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-61284-203-5

Type

conf

DOI

10.1109/CCIS.2011.6045134

Filename

6045134