ChatGPT辅助下的学生创造性思维特征分析
Characteristics Analysis of Students' Creative Thinking with ChatGPT Assistance
沙景荣 1赵亚南 1唐天奇1
作者信息
- 1. 西北民族大学 教育科学与技术学院,甘肃 兰州 730030
- 折叠
摘要
为评估 ChatGPT 在现有创造性思维框架下准确识别学生讨论维度的能力,文章使用 ChatGPT 对学生讨论文本进行智能评估,并采用认知网络分析法对不同学业投入水平小组学生创造性思维的各维度特征差异、认知网络和发展趋势进行分析,结果发现:高水平学业投入小组学生的创造性思维整体表现优异,而低水平学业投入小组学生也具有一定的创造性思维;不同水平学业投入小组的认知网络在不同讨论阶段呈现不同结构,其中高水平学业投入小组学生的认知网络结构相对更复杂;不同学业投入水平小组的认知行为多聚焦发散性思考和社会交流维度.此外,文章还针对ChatGPT作为辅助工具的应用提出建议,以使其更好地服务学生创造性思维的培养与提升,进而推动生成式人工智能技术更好地融入未来的教育教学.
Abstract
In order to evaluate ChatGPT's ability to accurately identify the students'discussion dimensions under the existing framework of creative thinking,this paper used ChatGPT to conduct intelligent assessment of students'discussion texts,and adopted cognitive network analysis to analyze the characteristic differences of each dimension,cognitive network and development trend of students'creative thinking in groups with different academic engagement levels.The results showed that the over performance of the creative thinking of the students in the group with a high level of academic engagement was excellent,while the students in the group with a low level of academic engagement also had some creative thinking.The cognitive networks of the groups with different levels of academic engagement showed different structures in different discussion stages,and the cognitive networks structures of the students in the groups with a high level of academic engagement were more complex.The cognitive behavior of groups with different levels of academic engagement mostly focused on divergent thinking and social communication dimensions.In addition,this paper also put forward suggestions for the application of ChatGPT as an auxiliary tool to make it better serve the cultivation and improvement of students'creative thinking,so as to promote the better integration of generative AI technology into future education and teaching.
关键词
创造性思维/ChatGPT/认知网络分析/学业投入Key words
creative thinking/ChatGPT/cognitive network analysis/academic engagement引用本文复制引用
出版年
2025
NETL
NSTL
万方数据