标题： 那不是我需要的反馈！ -- 在Tutor Kai中学生对生成式人工智能反馈的参与度 显示英文标题

标题： That's Not the Feedback I Need! -- Student Engagement with GenAI Feedback in the Tutor Kai

摘要： 生成人工智能（GenAI）在计算教育中生成反馈的潜力已经成为了许多研究的主题。然而，关于计算专业的学生如何与这种反馈互动以及它在多大程度上支持他们解决问题的研究仍然有限。因此，我们构建了一个定制的网络应用程序，为学生提供Python编程任务、代码编辑器、GenAI反馈和编译器反馈。通过包括眼动追踪的口头报告协议和对11名本科生的后续访谈，我们调查了（1）学习者对生成的反馈给予了多少注意力，以及（2）生成的反馈在多大程度上有帮助（或没有帮助）。此外，学生对GenAI反馈的关注度与对编译器反馈的关注度进行了比较。我们进一步研究了有和没有编程经验的学生之间的差异。研究结果表明，GenAI反馈通常会受到很多视觉关注，缺乏经验的学生的注视时间是其两倍。更有经验的学生较少请求GenAI，但能够更好地利用它来解决给定的问题。对于缺乏经验的学生来说，这样做更具挑战性，因为他们无法始终理解GenAI反馈。他们经常只依赖GenAI反馈，而编译器反馈则没有被阅读。了解学生对GenAI反馈的关注和看法对于开发支持学生学习的教育工具至关重要。 显示英文摘要

摘要： The potential of Generative AI (GenAI) for generating feedback in computing education has been the subject of numerous studies. However, there is still limited research on how computing students engage with this feedback and to what extent it supports their problem-solving. For this reason, we built a custom web application providing students with Python programming tasks, a code editor, GenAI feedback, and compiler feedback. Via a think-aloud protocol including eye-tracking and a post-interview with 11 undergraduate students, we investigate (1) how much attention the generated feedback received from learners and (2) to what extent the generated feedback is helpful (or not). In addition, students' attention to GenAI feedback is compared with that towards the compiler feedback. We further investigate differences between students with and without prior programming experience. The findings indicate that GenAI feedback generally receives a lot of visual attention, with inexperienced students spending twice as much fixation time. More experienced students requested GenAI less frequently, and could utilize it better to solve the given problem. It was more challenging for inexperienced students to do so, as they could not always comprehend the GenAI feedback. They often relied solely on the GenAI feedback, while compiler feedback was not read. Understanding students' attention and perception toward GenAI feedback is crucial for developing educational tools that support student learning.