The paper "Software Engineering Education Must Adapt and Evolve for an LLM (Large Language Model) Environment" by Vassilka D. Kirova, Joseph R. Laracy, Cyril S. Ku, and Thomas J. Marlowe discusses the critical need for software engineering education to adapt to the emerging landscape of Large Language Models (LLMs). The authors argue that LLMs, such as GPT, are expanding their applications from content creation to advanced code completion, offering significant opportunities but also posing unique challenges. They explore the goals of software engineering education and the changes required in curriculum, pedagogy, and ethics to prepare students for this new environment. The paper emphasizes the importance of a holistic approach that combines technical skills, ethical awareness, and adaptable learning strategies. It highlights the need for updated course content, including discussions on LLM capabilities and limitations, and the integration of LLMs into software development workflows. The authors also stress the importance of ethical reasoning in AI development and deployment, addressing issues such as bias, transparency, privacy, and intellectual property. The paper concludes by outlining key areas of change in software engineering education, including the incorporation of interdisciplinary skills, critical thinking, and the ethical implications of LLMs.The paper "Software Engineering Education Must Adapt and Evolve for an LLM (Large Language Model) Environment" by Vassilka D. Kirova, Joseph R. Laracy, Cyril S. Ku, and Thomas J. Marlowe discusses the critical need for software engineering education to adapt to the emerging landscape of Large Language Models (LLMs). The authors argue that LLMs, such as GPT, are expanding their applications from content creation to advanced code completion, offering significant opportunities but also posing unique challenges. They explore the goals of software engineering education and the changes required in curriculum, pedagogy, and ethics to prepare students for this new environment. The paper emphasizes the importance of a holistic approach that combines technical skills, ethical awareness, and adaptable learning strategies. It highlights the need for updated course content, including discussions on LLM capabilities and limitations, and the integration of LLMs into software development workflows. The authors also stress the importance of ethical reasoning in AI development and deployment, addressing issues such as bias, transparency, privacy, and intellectual property. The paper concludes by outlining key areas of change in software engineering education, including the incorporation of interdisciplinary skills, critical thinking, and the ethical implications of LLMs.