A Methodology for Evaluation College Student Comprehensive Quality

Li, Xiaohua; Jian-hua, Zhao; Liu, Baohong

doi:10.1109/icmlc.2006.259053

Cited by 1 publication

(2 citation statements)

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“…A person's moral quality will decide his or her ideology, value view and philosophy and it can impact his or her personal development. Thus, when evaluating high school graduates' comprehensive quality, we should consider their moral quality (Li et al 2009).…”

Section: Criterion Of Expert Remarksmentioning

confidence: 99%

“…Previous studies focused on evaluating the comprehensive quality of college students (Li et al 2009;Fan et al 2010;Yang et al 2011;Yan 2013;Reynolds 2016;Huang et al 2007), and practical suggestions were given to students and colleges to enhance the quality-oriented education. To the authors' best knowledge, the comprehensive evaluation of high school graduates' learning potential in college is rare.…”

Section: Introductionmentioning

confidence: 99%

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A hesitant fuzzy multi-criteria group decision making method for college applicants’ learning potential evaluation

Zhang

et al. 2019

J. of Data, Inf. and Manag.

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The evaluation of applicants' learning potential is important to college admission process. This paper develops a multi-criteria decision making method for a comprehensive evaluation of high school graduates' learning potential in college, in which both entrance examination marks and expert remarks are considered in the indicator system. Experts' opinions towards indicator importance are expressed by hesitant fuzzy numbers. By using hesitant fuzzy linguistic judgments, the flexibility of expressions is increased. A minimized divergence and hesitant degree model is established to calculate the experts' weights. Then to determine indicators' weights, a weighted average operator is applied. To aggregate the final evaluation results, a TOPSIS method is adopted. The proposed methodology is applied to evaluate students' learning potential in one of the top universities in China. Ten years' real enrollment data is collected in Business and Economic School. Based on the evaluation results, some suggestions are given for the admission process.

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Section: Criterion Of Expert Remarksmentioning

confidence: 99%