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

Author:

Li Bin12,Fei Yanying3,Liu Hui4

Affiliation:

1. School of Marxism, Dalian University of Technology, Dalian, Liaoning Province, China

2. School of Marxism, Dalian Medical University, Dalian, Liaoning Province, China

3. Faculty of Humanities and Social Sciences, Dalian University of Technology, Dalian, Liaoning Province, China

4. College of Medical Laboratory, Dalian Medical University, Dalian, Liaoning Province, China

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.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference17 articles.

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3. Dee Fink Creating Significant Learning Experiences: An Integrated Approach to Designing College Courses. 2013. Jossey-Bass.

4. Elstad E. , Lejonberg E. and Christophersen K.-A. , Teaching evaluation as a contested practice: Teacher resistance to teaching evaluation schemes in Norway, Education Inquiry 2015 (6).

5. The idea and practice of school-based evaluation;Guo;Journal of Taiwan Normal University,2013

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