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Issue title: Impact of Intelligence Methodologies on Education and Training Process
Guest editors: Vijayalakshmi Saravanan
Article type: Research Article
Authors: Li, Bina; b | Fei, Yanyingc | Liu, Huid; *
Affiliations: [a] School of Marxism, Dalian University of Technology, Dalian, Liaoning Province, China | [b] School of Marxism, Dalian Medical University, Dalian, Liaoning Province, China | [c] Faculty of Humanities and Social Sciences, Dalian University of Technology, Dalian, Liaoning Province, China | [d] College of Medical Laboratory, Dalian Medical University, Dalian, Liaoning Province, China
Correspondence: [*] Corresponding author. Hui Liu, College of Medical Laboratory, Dalian Medical University, Dalian, Liaoning Province, China, 116044. E-mail: [email protected].
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.
Keywords: Teaching quality, evaluation system, self-evaluation, potential index, artificial intelligence model
DOI: 10.3233/JIFS-189378
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3397-3407, 2021
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