AI 中文总结
研究针对软件工程研究生在LLM时代的AI使用技能缺口，分析1383条子reddit帖子后发现学生外包研究技能培养的认知努力，提出需开发课程引导学生与LLM协同工作。
AI 中文摘要
生成式AI工具已被软件工程专业研究生在日常工作中快速掌握，但学界对他们开展实证研究时有效使用AI所需的实际技能知之甚少。若缺乏这种理解，研究生项目将无法培养学生在LLM时代开展严谨研究的能力，可能会造就一批在不具备必要专业知识的情况下委派任务的研究者。通过分析来自5个以研究为核心的子reddit社区的1383条帖子，我们发现学生系统性地将培养研究技能所需的认知努力外包，最终既未获得预期结果，也未掌握必要能力。明确这些缺失的技能是开发课程的第一步，该课程将教导研究生与LLM协同工作，而非被其取代。
英文摘要
Generative AI tools have been rapidly learned in the daily workflow of graduate students in Software Engineering, but little is known about what AI-related skills they actually need for effective use in empirical research. Without this understanding, graduate programs cannot prepare students to conduct rig-orous research in the LLM era, risking creating a generation of researchers who delegate tasks without the necessary expertise. By analyzing 1,383 posts from five research-focused subreddits, we found that students systematically outsource the cognitive effort required to develop research skills and end up with neither the expected results nor the necessary competence. Naming these missing skills is the first step toward curricula that teach graduate students to work \emph{with} LLMs without being replaced by them.
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