This presentation describes the redesign of a Computer Architecture course from reliance on mismatched commercial textbooks to instructor-authored open educational resources created through AI-assisted synthesis of trusted disciplinary sources. Traditional texts often follow sequences that conflict with course pacing, overemphasize peripheral depth, and leave students uncertain about conceptual priorities, problems compounded by high rental costs and loss of long-term access. Generative AI was used as a faculty authorship tool to integrate canonical references, lecture materials, and standards documents into concise readings, examples, and assessments organized according to instructional logic and optimized for an online asynchronous modality. The approach preserves instructor voice and scholarly accuracy while enabling rapid creation of materials normally beyond a single instructor’s time. Aligned with the conference theme, the project highlights how human judgment guides AI to improve clarity, access, and ethical stewardship. The session shares workflows, quality checks, and preliminary observations of improved student understanding.

Presenters

• Krista Stacey kjstacey@southalabama.edu, University of South Alabama

Presentation