November 1-2, 2021. Online.
The goal of this workshop is to identify research gaps and build an research agenda for K-12 AI education. The workshop aims to foster discussions on lessons learned from K-12 AI and computer science education, and strategies for engaging the teachers and bringing AI education to all K-12 students.
The two-day workshop agenda is here.
The third workshop included K-12 practitioners and researchers from different fields such as K-12 AI education, computer science education, the learning sciences, and teacher education. A total of 34 participants attended the workshop.
A report on workshop 3 findings is available here.
The series of workshops aim to build an interdisciplinary research community to address the critical challenge of creating a national K-12 AI education strategy. The workshops include leading members of the AI research community, the education research community, AI industry, and educational practitioners. The workshops aim to play a central role in introducing researchers from across AI and education to each other to establish the connections that are essential to the success of a national K-12 AI education initiative. Collectively, leaders in these fields will develop a research agenda on best practices for AI education for K-12 student populations. Such a research agenda can have broad societal implications ranging from science, technology, engineering, and mathematics applications in every sector of the economy to workforce development and national security.
Research Associate Professor
University of Southern California
Distinguished University Professor
North Carolina State University
Principal CS Education Researcher
SRI International