Author(s)

WeiNa Pang

Affiliation(s)

Academic Affairs Office, Zhejiang Yuexiu University, Shaoxing 312000, Zhejiang, China.

Corresponding Author

WeiNa Pang

ABSTRACT

A series of policies of the Ministry of Education of China guide universities to change the traditional evaluation orientation and optimize the academic evaluation system. At the same time, the wide application of artificial intelligence generated content (AIGC) technology has brought new opportunities and challenges to the academic evaluation of colleges and universities. This paper focuses on the application of AIGC technology in the academic evaluation system of undergraduate universities, and puts forward four key application scenarios: automatic data collection and processing, comprehensive learning situation analysis, diversified evaluation model construction and personalized learning support. Based on this, this paper discusses the direction of academic evaluation reform under the power of AIGC from three dimensions of students, teachers and schools, and analyzes how to stimulate students' learning motivation, improve teaching accuracy and optimize resource allocation. Finally, the paper points out that the application of AIGC in the field of education not only provides an innovative path, but also faces challenges such as data privacy and technical reliability, which provides theoretical support and practical inspiration for the future construction of academic evaluation system.

KEYWORDS

AIGC technology; Students' academic evaluation; System construction

CITE THIS PAPER

WeiNa Pang. AIGC enables the construction of academic evaluation system for undergraduate college students.Trends in Social Sciences and Humanities Research. 2024, 2(8): 31-34. DOI: 10.61784/tsshr3078.

REFERENCES

[1] Weina Pang. Study on the construction of academic evaluation system of applied undergraduate university based on social needs. International Journal of Education and Humanities, 2024, 1:105-110.

[2] Du Xiuping, Wang YinYu, Chen Ziyao. AIGC enables "Chinese + vocational education" resource intelligent generation and quality evolution——Connotation, mechanism and mode construction. Audio-visual education Research, 2024, 07: 121-128.