@article{HUANG2024, 
author = {Bei-Bei HUANG and Zi-Yun SONG and Xiao-Long QIAN},
title = {Risk Representation, Early Warning and Resolution of Integrating GAI into the Higher Education Ecosystem},
year = {2024},
journal = {Modern Educational Technology},
volume = {34},
number = {5},
pages = {16-26},
keywords = {generative artificial intelligence, ChatGPT, higher education ecosystem, educational risk, risk warning},
url = {https://www.sciopen.com/article/10.3969/j.issn.1009-8097.2024.05.002},
doi = {10.3969/j.issn.1009-8097.2024.05.002},
abstract = {Under the backdrop of the rapid development of generative artificial intelligence (GAI), it is urgent to recognize, prevent, and resolve the educational risks that GAI brings to the higher education ecosystem. Therefore, this paper firstly analyzed the risk representation of integrating GAI into the higher education ecosystem, which mainly manifested as the dissolution of teachers’ and students’ sovereignty, the distortion of knowledge content, the destruction of security inclusion, and the alienation of talent cultivation. Subsequently, the risk warning mechanism that integrating GAI into the higher education ecosystem was constructed, which consisted of four modules of risk warning subject, risk warning content, risk warning guarantee, and risk warning process. Finally, this paper proposed to address the risks of integrating GAI into the higher education ecosystem by stimulating subject awareness, identifying knowledge content, optimizing digital environment and cultivating innovative talents. The research in this paper could provide theoretical guidance for risk governance of GAI education, promote the safe application of GAI in higher education, and safeguard the digital transformation and high-quality development of higher education.}
}