  Artificial Intelligence (AI) approaches have been incorporated into modern
learning environments and software engineering (SE) courses and curricula for
several years. However, with the significant rise in popularity of large
language models (LLMs) in general, and OpenAI's LLM-powered chatbot ChatGPT in
particular in the last year, educators are faced with rapidly changing
classroom environments and disrupted teaching principles. Examples range from
programming assignment solutions that are fully generated via ChatGPT, to
various forms of cheating during exams. However, despite these negative aspects
and emerging challenges, AI tools in general, and LLM applications in
particular, can also provide significant opportunities in a wide variety of SE
courses, supporting both students and educators in meaningful ways. In this
early research paper, we present preliminary results of a systematic analysis
of current trends in the area of AI, and how they can be integrated into
university-level SE curricula, guidelines, and approaches to support both
instructors and learners. We collected both teaching and research papers and
analyzed their potential usage in SE education, using the ACM Computer Science
Curriculum Guidelines CS2023. As an initial outcome, we discuss a series of
opportunities for AI applications and further research areas.
