Surveying the Impact of Generative Artificial Intelligence on Political Science Education

被引：0
|
作者：
Wu, Nicole [1 ]
Wu, Patrick Y. [2 ]
机构：
[1] Univ Toronto, Polit Sci, Toronto, ON, Canada
[2] NYU, Ctr Social Media & Polit, New York, NY USA
来源：
PS-POLITICAL SCIENCE & POLITICS | 2024年
关键词：
D O I：
10.1017/S1049096524000167
中图分类号：
D0 [政治学、政治理论];
学科分类号：
0302 ; 030201 ;
摘要：
Recent applications of new innovations in artificial intelligence have brought up questions about how this new technology will change the landscape and practices in a wide range of industries and sectors. This article focuses on the impact of generative large language models on teaching, learning, and academic assessment in political science education by analyzing two novel surveys administered by the discipline's major professional body, the American Political Science Association. We present the results of these surveys and conclude with recommendations.
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页数：8
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