June 20th, 2023 | RESEARCH
The emergence of increasingly powerful AI technologies calls for the design and development of K-12 AI literacy curricula that can support students who will be entering a profoundly changed labor market. However, developing, implementing, and scaling AI literacy curricula poses significant challenges. It will be essential to develop a robust, evidence-based AI education research foundation that can inform AI literacy curriculum development. Unlike K-12 science and mathematics education, there is not currently a research foundation for K-12 AI education. In this article we provide a component-based definition of AI literacy, present the need for implementing AI literacy education across all grade bands, and argue for the creation of research programs across four areas of AI education: (1) K-12 AI Learning & Technology; (2) K-12 AI Education Integration into STEM, Language Arts, and Social Science Education; (3) K-12 AI Professional Development for Teachers and
Administrators; and (4) K-12 AI Assessment
Document
Team Members
Ning Wang, Author, Institute for Creative Technologies, University of Southern CaliforniaJames Lester, Author, Center for Educational Informatics, North Carolina State University
Citation
Publication: International Journal of Artificial Intelligence in Education
Funders
Funding Source: NSF
Funding Program: AISL
Award Number: 2116109
Related URLs
Tags
Audience: Educators | Teachers | Elementary School Children (6-10) | Middle School Children (11-13) | Youth | Teen (up to 17)
Discipline: AI | Technology
Resource Type: Research
Environment Type: Informal | Formal Connections | K-12 Programs | Professional Development and Workshops