发表机构
Software Engineering Research Center (TASE), Tampere University（坦佩雷大学软件工程研究中心（TASE））
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究针对软件工程教育中AI融入需求质量学习的需求，基于TPACK框架将多智能体AI工具融入硕士级RE作业，通过混合方法验证了其在提升学生需求质量认知等方面的作用，为相关AI融入设计提供了指导。
AI 中文摘要
生成式人工智能（AI）在软件工程（SE）实践中的快速普及，催生了对基于教学法的AI融入SE教育方法的需求，尤其在需求工程（RE）这类概念密集型学科中。本研究探讨在TPACK框架指导下，将多智能体AI工具融入硕士级RE课程中关于需求质量分析的作业设计。采用混合研究方法（样本量N=100，分析了72份提交成果），研究结构化作业设计如何影响学生对AI工具的使用方式、对用户故事质量标准的理解，以及对AI优势与局限性的认知。结果显示，学生有选择性地使用AI工具，主要将其作为分析与评估的辅助手段，而非自动化工具。在结构明确的需求质量维度（如价值表述性、可测试性）上，对齐改进最为显著，而可协商性维度的效果则参差不齐。学生反馈表现出有条件的信任、主动优化的行为，以及对质量标准认知的提升，同时也提到了中等程度的可用性挑战。研究结果表明，TPACK指导下的支架式教学能够使AI的功能与教学目标及RE内容相契合，为RE教育中负责任的AI融入提供了设计指导。
英文摘要
The rapid adoption of generative Artificial Intelligence (AI) in software engineering (SE) practice creates a need for pedagogically grounded approaches to AI integration in SE education, especially in conceptually intensive subjects such as requirements engineering (RE). This study examines a TPACK-guided integration of a multi-agent AI tool into a master-level RE assignment on requirements quality analysis. Using a mixed-methods design (N=100; 72 submissions analysed), we examine how structured assignment design shaped students' AI use, affected their understanding of user story quality criteria, and influenced their perceptions of AI's benefits and limitations. Results show that students used the AI tool selectively, mainly as support for analysis and evaluation rather than automation. Alignment improvements were most evident for structurally concrete requirements quality dimensions, such as value articulation and testability, while negotiability showed mixed effects. Students reported conditional trust, active refinement, and increased awareness of quality criteria, alongside moderate usability challenges. The findings show that TPACK-guided scaffolding can align AI affordances with pedagogical goals and RE content, offering design guidance for responsible AI integration in RE education.
Comments11 pages, 6 figures, 3 tables, presented in the 38th CSEE&T in Florence, Italy, from July 20-22, 2026
