An artificial intelligence based model for evaluation of college students’ ability and characteristics through teaching evaluation
The teaching quality is the core of sustainable development in colleges and universities. The constructing scientific and reasonable teaching quality evaluation system is the key of teaching quality evaluation. This paper takes the quality of graduates as the core content, establishes a results-orie...
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Published in | Journal of intelligent & fuzzy systems Vol. 40; no. 2; pp. 3397 - 3407 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
IOS Press BV
01.01.2021
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Subjects | |
Online Access | Get full text |
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Abstract | The teaching quality is the core of sustainable development in colleges and universities. The constructing scientific and reasonable teaching quality evaluation system is the key of teaching quality evaluation. This paper takes the quality of graduates as the core content, establishes a results-oriented teaching quality evaluation system in colleges and universities, and finds that the academic level of graduates and the level of competition in career selection are two quantitative dimensions reflecting the quality of graduates. Based on this, this paper establishes the evaluation model of the developmental potential index and gives the reference of the norm of teaching effect evaluation for self-evaluation. Finally, this paper discusses the components of graduate quality and the way to construct the evaluation system. |
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AbstractList | The teaching quality is the core of sustainable development in colleges and universities. The constructing scientific and reasonable teaching quality evaluation system is the key of teaching quality evaluation. This paper takes the quality of graduates as the core content, establishes a results-oriented teaching quality evaluation system in colleges and universities, and finds that the academic level of graduates and the level of competition in career selection are two quantitative dimensions reflecting the quality of graduates. Based on this, this paper establishes the evaluation model of the developmental potential index and gives the reference of the norm of teaching effect evaluation for self-evaluation. Finally, this paper discusses the components of graduate quality and the way to construct the evaluation system. |
Author | Li, Bin Fei, Yanying Liu, Hui |
Author_xml | – sequence: 1 givenname: Bin surname: Li fullname: Li, Bin organization: School of Marxism, Dalian University of Technology, Dalian, Liaoning Province, China, School of Marxism, Dalian Medical University, Dalian, Liaoning Province, China – sequence: 2 givenname: Yanying surname: Fei fullname: Fei, Yanying organization: Faculty of Humanities and Social Sciences, Dalian University of Technology, Dalian, Liaoning Province, China – sequence: 3 givenname: Hui surname: Liu fullname: Liu, Hui organization: College of Medical Laboratory, Dalian Medical University, Dalian, Liaoning Province, China |
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Cites_doi | 10.1166/jctn.2018.7537 10.1007/s00521-018-3466-5 10.14352/jkaie.2020.24.1.59 10.1177/0027432114536736 10.1007/s10462-019-09686-8 10.1016/j.comcom.2019.11.022 10.3402/edui.v6.27850 10.36261/ijdeel.v5i2.1057 10.1109/ACCESS.2018.2883957 |
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SubjectTerms | Artificial intelligence Colleges & universities Quality assessment Quality of education Sustainable development Teacher evaluations |
Title | An artificial intelligence based model for evaluation of college students’ ability and characteristics through teaching evaluation |
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