计算机科学
生成语法
人工智能
读写能力
数学教育
生成模型
心理学
教育技术
高等教育
研究方法
自然语言处理
计算机辅助教学
知识水平
教学方法
人机交互
项目反应理论
教育研究
作者
Weijie Ma,Fang Yuan,Huiling Luo
标识
DOI:10.1080/15391523.2026.2735312
摘要
Generative artificial intelligence (GenAI) is rapidly entering higher education, creating a need to assess students’ GenAI literacy (GenAIL). Drawing on existing GenAIL frameworks and related assessment instruments, this study developed and validated the Generative Artificial Intelligence Literacy Scale for College Students (GenAILS-CS) as an instrument for assessing GenAIL in higher education. Survey data from 658 undergraduates were split for exploratory (n = 329) and confirmatory (n = 329) factor analyses. Results supported a five-dimensional, 21-item structure covering cognitive understanding, skill application, critical reflection, ethical responsibility, and collaborative innovation. Evidence indicated acceptable-to-good fit, internal consistency, convergent and discriminant validity, positive associations with GenAI use frequency, and measurement invariance across gender and grade level. The instrument could inform diagnostic assessment and targeted GenAIL support in higher education.
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