An artificial intelligence based model for evaluation of college students' ability and characteristics through teaching evaluation

被引:19
|
作者
Li, Bin [1 ,2 ]
Fei, Yanying [3 ]
Liu, Hui [4 ]
机构
[1] Dalian Univ Technol, Sch Marxism, Dalian, Liaoning, Peoples R China
[2] Dalian Med Univ, Sch Marxism, Dalian, Liaoning, Peoples R China
[3] Dalian Univ Technol, Fac Humanities & Social Sci, Dalian, Liaoning, Peoples R China
[4] Dalian Med Univ, Coll Med Lab, Dalian 116044, Liaoning, Peoples R China
关键词
Teaching quality; evaluation system; self-evaluation; potential index; artificial intelligence model;
D O I
10.3233/JIFS-189378
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:3397 / 3407
页数:11
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