Co-Designing AI Education Curriculum with Cross-Disciplinary High School Teachers


High school teachers from many disciplines have growing interests in teaching about artifcial intelligence (AI). This cross-disciplinary interest refects the prevalence of AI tools across society, such as Generative AI tools built upon Large Language Models (LLM). However, high school classes are unique and complex environments, led by teachers with limited time and resources with priorities that vary by class and the students they serve. Therefore, developing curricula about AI for classes that span many disciplines (e.g. history, art, math) must involve centering the expertise of cross-disciplinary teachers. In this study, we conducted fve collaborative curricular co-design sessions with eight teachers who taught high school humanities and STEM classes. We sought to understand how teachers considered AI when it was taught in art, math, and social studies contexts, as well as opportunities and challenges they identifed with incorporating AI tools into their instruction. We found that teachers considered technical skills and ethical debates around AI, opportunities for “dual exploration” between AI and disciplinary learning, and limitations of AI tools as supporting engagement and refection but also potentially distracting. We interpreted our fndings relative to co-designing adaptable AI curricula to support teaching about and with AI across high school disciplines.

Symposium on Educational Advances in Artificial Intelligence (EAAI 2024)