摘要
分析31所国外一流大学应对生成式人工智能挑战的策略发现,它们的最新应对行动多发生在ChatGPT4.0发布后;多数被调研高校对生成式人工智能的使用持开放态度,但措辞略有不同;应对策略主要聚焦教学、研究场景,前者包括提供教学大纲相关要求的新模板以及生成式人工智能参与作业的设计样例;后者包括规避数据和版权问题的建议以及修订的学术规范引用模板等。借鉴其经验,国内高校应对生成式人工智能的挑战,应明确使用要求和应用边界,为教师提供精细化教学支持,注重数据安全并增强本校平台的支撑作用。
Analyzing their response to generative artificial intelligence,it finds that the latest actions of foreign universities are mostly concentrated after the release of the optimized version of ChatGPT 4.0.Most universities do not prohibit it,although there are slight differences in their wording.In the teaching scenario,strategies include providing updated syllabus requirement statement templates and examples of assignment designs that utilize generative AI.In the research scenario,strategies focus on avoiding data security and copyright protection issues,along with revised academic citation templates.
作者
欧阳嘉煜
缪静敏
汪琼
孙冰
董文斌
OUYANG Jia-yu;MIAO Jing-min;WANG Qiong;SUN Bing;DONG Wen-bin(School of Education,Beijing Institute of Technology,Beijing 100081,China;School of Education,Guangzhou University,Guangzhou 510006,China;Graduate School of Education,Peking University,Beijing 100871,China;Academic Affairs Department,The Open University of China,Beijing 100039,China)
出处
《高等教育研究》
CSSCI
北大核心
2023年第10期99-109,共11页
Journal of Higher Education
基金
国家社会科学基金(教育学)重大项目(VGA230012)