As Generative AI (GenAI) models continue to gain prominence, a new frontier is emerging in the field of computer science education. Results from initial anonymous surveys reveal that nearly half (48.5%) of our students now turn to GenAI for academic assignments, highlighting its growing role in modern education. With educators facing challenges in creating dynamic and unique course content, the potential of GenAI becomes evident. It offers not only a quicker method for content development but also paves the way for diversified, high-quality educational resources, countering traditional cheating methods and catering to varied student needs. Key questions thus arise: "How can GenAI assist instructors in creating meaningful content and problems quickly, and can it reduce the instructional staff's workload?" Addressing the first question, we unveil the "GenAI Content Generation Framework". This novel tool equips educators to tap into the prowess of GenAI for course content design. The framework presents a systematic and practical blueprint for generating university-level course material through chat-based GenAI. Drawing from our first-hand experiences, we provide strategic guidance on formulating inquiries and organizing GenAI sessions to elicit quality content that aligns with specific educational goals and context. Our work stands apart by outlining a specific workflow and offering concrete suggestions for harnessing GenAI in course material development, backed by a strong case for its adoption. Armed with the framework and insights presented in this paper, educators and course content developers can move forward with assurance, tapping into GenAI's vast potential for innovative content creation.

翻译：随着生成式人工智能（GenAI）模型的持续兴起，计算机科学教育领域正迎来新的前沿。初步匿名调查结果显示，近半数（48.5%）学生已开始在学术任务中借助GenAI，凸显其在现代教育中日益增长的作用。面对创建动态且独特的课程内容这一挑战，GenAI的潜力愈发显著。它不仅提供了更快捷的内容开发方法，还为创建多元化、高质量的教育资源铺平了道路，有助于应对传统抄袭行为并满足学生的多样化需求。由此引发关键问题："GenAI如何协助教师快速创建富有意义的课程内容与问题？它能否减轻教学人员的工作负担？"针对第一个问题，我们提出了"GenAI内容生成框架"。这一创新工具使教育工作者能够利用GenAI的强大能力进行课程内容设计。该框架提供了一套系统且实用的蓝图，用于通过基于对话的GenAI生成大学水平课程材料。基于我们的第一手经验，我们提供了关于表述查询和组织GenAI会话的策略性指导，以生成符合特定教育目标和背景的高质量内容。我们的研究与众不同之处在于：勾勒出具体工作流程，并为在课程材料开发中利用GenAI提供切实可行的建议，以及强有力的推广依据。借助本文提出的框架与见解，教育工作者和课程内容开发者可以充满信心地前行，充分挖掘GenAI在创新内容创作方面的巨大潜力。