Generative AI’s Impact on Graduate Student Professional Writing Productivity and Quality
Allison Connell Pensky, Jordan H. Usdan, Harley Chang
Carnegie Mellon 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
The rapid adoption of generative artificial intelligence (genAI) applications, such as ChatGPT, underscores their potential to significantly enhance writing. However, genAI efficacy varies among users and use cases, likely due to insufficient understanding of their operations and limitations. This study investigates the effect of genAI and targeted instruction on writing productivity and quality among graduate students on graded assignments. Employing a mixed-methods design, we compared students' performance on professional writing tasks conducted without and with genAI assistance. Comprehensive genAI instruction was provided prior to tool usage. Results showed genAI, with proper instruction, reduced writing time by 64.5% and improved writing quality from a B+ to an A. Benefits were observed across native English and ESL students, with slightly more pronounced benefits for ESL students, suggesting a leveling effect. This study highlights the importance of tailored educational strategies in leveraging genAI tools to maximize benefits and mitigate limitations.
逐年被引趋势
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
社会科学Artificial Intelligence in Education
Artificial Intelligence in Healthcare and Education · EFL/ESL Teaching and Learning
参考文献 32
引用本文 35
按被引量排序,此处列出前 3 条