AI-powered tools have the potential to transform education, both in formal and informal settings. The immense potential for AI to address challenges in education has created an urgent need to characterize how K-12 education may leverage these powerful tools safely, ethically, and equitably. While the AI in education landscape is changing drastically and rapidly, little is known about K-12 educators' engagement with AI and how newly developed tools and curriculum will be received and integrated into classrooms.

The rapid advances in large language models (LLMs) have presented tremendous opportunities to create interactive, personalized learning resources on a large scale. To fully harness the educational potential of these technologies, it is crucial that teachers - who are at the forefront of daily student interaction and possess indispensable knowledge and expertise - serve as key contributors in the process.

The exponential expansion of artificial intelligence (AI) has created a significant demand on future AI workforce development. Several key challenges exist hindering the widespread incorporation of AI into K-12 curricula, including the lack of teacher development in AI and a comprehensive pedagogical framework for K-12 AI education.

The proliferation of artificial intelligence (AI) and powerful Large Language Models (LLMs) has evoked excitement and confusion among K-12 teachers regarding AI's impact on teaching, assessments, and student work. It is vital for researchers with expertise in human-centered teaching and learning to share empirically grounded proofs-of-concept of teacher-AI teaming to enhance teacher capacities for better learning outcomes for all students.