Associations between generative AI usage orientations and critical thinking disposition among college students in China
Shuai Yin, Yitao Gan, Qing Zhao
Weifang Engineering Vocational College Yangzhou University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Introduction Research on generative artificial intelligence (GenAI) in higher education commonly describes use in terms of adoption or frequency. Students, however, may engage with the same systems in different ways. Methods This study conceptualises three GenAI usage orientations (Tool, Guidance, and Collaboration) and surveys 430 college students in China to examine their bivariate and adjusted associations with critical thinking disposition (CTD). Tool represented comparatively delegative use, including task completion centred on GenAI and direct adoption of its output with limited independent revision. Guidance reflected instrumental requests for explanations, examples, clues, or diagnostic assistance. Collaboration reflected iterative coordination directed by students. Based on the measurement evaluation, CTD was used as the primary outcome. Results Tool showed no statistically significant bivariate association with CTD ( r = −0.044, p = 0.363) but had a negative adjusted association ( β = −0.189, p < 0.001). This pattern is consistent with statistical suppression; the adjusted Tool coefficient represents a conditional association. Guidance ( β = 0.126, p = 0.017) and Collaboration ( β = 0.321, p < 0.001) showed positive adjusted associations. The orientation block explained an additional 10.37% of the variance in CTD, and the final model explained 38.95% of CTD variance. Discussion The findings show that behavioural orientations provide information beyond general measures of GenAI experience.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIArtificial Intelligence in Education
Education and Critical Thinking Development · Educational Strategies and Epistemologies