计算机科学
个性化学习
资源(消歧)
人工智能
教学方法
数学教育
开放式学习
合作学习
心理学
计算机网络
作者
Shi Yang,Siyuan Yang,Chaoran Tong
出处
期刊:Adult and higher education
[Clausius Scientific Press, Inc.]
日期:2023-01-01
卷期号:5 (19)
被引量:1
标识
DOI:10.23977/aduhe.2023.051902
摘要
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.
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