Chosing Kimi as the analysis tool,and the test paper of History subject and candidates'answer sheets of 2023 High School Academic Level Grade Examination of a city as the analysis contents,this paper focuses on the application of generative artificial intelligence in the evaluation of the new college entrance examination.The study shows that Kimi collaborative working mode can optimize the structure analysis of the examination paper,enhance the validity of the demarcation of the critical score of the candidates'level,and improve the timeliness and relevance of the feedback in the evaluation results so as to improve the validity and efficiency.Some problems,such as problem judgment is too broad,it is unable to reason deeply to discover relationships between materials,sometimes it gives wrong conclusions or reasons,it is not sure how to fine-tune,should be paid attention to under the current use of AIGC.
关键词
生成式人工智能/高考评价/试卷结构分析/评价反馈
Key words
Generative Artificial Intelligence/New College Entrance Examination Evaluation/Analysis of Examination Paper Structure/Evaluation Feedback
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