EAGER: Supporting and Sustaining Evidence-Based Computer Science Education

The project focuses on supporting the implementation of a revised Exploring Computer Science curriculum that now includes artificial intelligence and machine learning, the role of data in AI systems, human and computational models of intelligence, natural language processing, algorithmic bias, and the societal impacts of artificial intelligence. Research activities and implementation support center on four components: individualized coaching for teachers during the academic year; statewide virtual professional learning communities that foster collaboration and knowledge sharing; structured guidance for school and district leaders as they integrate artificial intelligence and computer science into staffing, scheduling, and program plans; and the dissemination of teacher-led action research on classroom practices related to artificial intelligence instruction. The goal is to strengthen the professional capacity of educators and generate practitioner-informed insights into effective artificial intelligence instruction.