Recent breakthroughs in Large Language Models (LLMs), such as GPT-3 and Codex, now enable software developers to generate code based on a natural language prompt. Within computer science education, researchers are exploring the potential for LLMs to generate code explanations and programming assignments using carefully crafted prompts. These advances may enable students to interact with code in new ways while helping instructors scale their learning materials. However, LLMs also introduce new implications for academic integrity, curriculum design, and software engineering careers. This workshop will demonstrate the capabilities of LLMs to help attendees evaluate whether and how LLMs might be integrated into their pedagogy and research. We will also engage attendees in brainstorming to consider how LLMs will impact our field.

翻译：在计算机科学教育中,研究人员正在探索LLM公司利用精心设计的提示来生成代码解释和编程任务的可能性,这些进步可以使学生以新的方式与代码互动,同时帮助教员扩大学习材料的规模。但是,LLM公司还给学术完整性、课程设计和软件工程职业带来新的影响。这次讲习班将展示LLM公司帮助参加者评估LM公司是否以及如何融入其教学和研究的能力。我们还将邀请参加集思广益的参与者考虑LMC公司如何影响我们的领域。