Author(s)

Shi Yang ¹, Siyuan Yang ², Chaoran Tong ³

Affiliation(s)

¹ Academy of Fine Arts, Guangdong University of Education, Guangzhou, Guangdong, 510812, China
² School of Information Science and Technology, Xiamen University Tan Kah Kee College, Zhangzhou, Fujian, 363123, China
³ School of Fine Arts and Design, Guangzhou University, Guangzhou, Guangdong, 510006, China

Corresponding Author

Chaoran Tong

ABSTRACT

Artificial Intelligence Generated Content (AIGC) large models have shown broad application prospects in various fields, and their in-depth application in higher education has also attracted widespread attention. This study aims to explore the application of the AIGC large model in higher education and evaluate its impact on teaching effectiveness. This study used literature review and experimental analysis methods to collect and analyze relevant literature. The research focuses on the application of AIGC in personalized learning, teaching resource expansion and automated assessment, and evaluates its effects. Research results show that AIGC can increase teaching efficiency to 96%. Its in-depth application in higher education has potential and advantages, and it can realize personalized learning and intelligent assisted teaching, provide customized learning resources and guidance, and promote students' learning outcomes and learning motivation.

KEYWORDS

Higher Education, Deep Application, Artificial Intelligence, AIGC Large Model

CITE THIS PAPER

Shi Yang, Siyuan Yang, Chaoran Tong, In-Depth Application of Artificial Intelligence-Generated Content AIGC Large Model in Higher Education. Adult and Higher Education (2023) Vol. 5: 9-16. DOI: http://dx.doi.org/10.23977/aduhe.2023.051902.

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Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
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• Transactions on Comparative Education
  
  
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• Advances in Vocational and Technical Education