AI for Instructors
This 1.5 hour, hands-on workshop provides higher education instructors with practical ways to integrate generative AI into their teaching. Instructors learn to uphold academic integrity and prioritize student learning. Though grounded in Blinn College's context, the session applies broadly. It aligns with the CMIS AI Conference's focus on real-world, responsible AI in education. The workshop highlights faculty workflows, assignment design, and student AI literacy, while de-emphasizing technical development.
Dr. Bruce Gooch is a computer scientist and educator with nearly three decades of experience in artificial intelligence and applied AI systems. He began his AI work in the 1990s at Ford Bacon and Davis Engineering, developing neural networks to predict pipeline corrosion defects—a pioneering use of machine learning in infrastructure monitoring. His research spans machine vision for agriculture, where he collaborated with Texas A&M soil and crop scientists to detect Johnson grass in sorghum, and knowledge representation via common-sense reasoning. He published foundational research on "Detecting False Captioning Using Common-Sense Reasoning," applying AI to validate image-text relationships, thereby shaping approaches to evaluating AI output consistency and truthfulness.
Alongside his research, Dr. Gooch has built a distinguished career in computer science education, teaching programming and systems courses with technical rigor. His dual expertise—decades of hands-on AI development and classroom experience—now focuses on helping faculty and students develop practical, critical generative AI competence. His AI for Instructors workshops draw on real-world AI development and methods for assignment design, bias recognition, and student AI literacy. He connects abstract concerns about responsible AI to practical, immediate classroom applications.
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