Teaching and Learning with AI Conference

Generative AI is already reshaping how students learn to code, but “ban it” and “let it rip” both create problems. This session shares early evidence and practical course-design strategies from introductory programming contexts that vary in AI allowance and instructor guidance. We discuss how more open AI use can lift short-term assignment performance while increasing risks of overreliance, reduced conceptual understanding, weaker problem-solving retention, and academic integrity violations. In contrast, when instructors frame AI as a supportive but limited tool and embed process checks, students show more constructive attitudes and deeper learning signals. Attendees will leave with policy language, assignment structures, and guidance prompts ready to adapt. #GenAI #TeachingWithAI #AcademicIntegrity