September 21, 2020, Virtual
CALL FOR PRESENTATIONS AND PARTICIPATION
Artificial Intelligence (AI) is concerned with computing technologies that allow humans to see, hear, talk, think, learn, and solve problems in new ways. The huge potential of AI applications in K12 represents an exciting future for teaching and learning that can be more personalized and effective. In addition, industry, researchers, students, teachers, and parents can be interconnected in a revolutionary way to stimulate a tremendous amount of interesting activities.
AI&K12 is an international forum that brings together classroom practitioners, university researchers, and industry professionals interested in bringing curriculum for artificial intelligence into the K-12 classroom.
AI&K12 will offer the following tutorials specifically to K12 teachers:
Overview of AI and machine learning (Speaker: Phillip Sheu, U.C. Irvine)
Big data and data science (Speaker: David Ostrowski, Ford)
AI tools for K12 (Speaker: Laura McBain, Stanford d.School)
Above all we are looking for sessions and workshops that involve a variety of topics, skills, and curricula related to artificial intelligence. AI&K12 calls for papers from researchers (submitted following the guidelines of ai4i) and field presentations (only) from teachers. For the latter you are invited to submit a presentation proposal for consideration in the AIK12 track. The Call for Presentations is now open through September 12. If you are interested in submitting a presentation, please visit the Presentation Proposal Submission portal.
TOPICS OF INTEREST include, but are not limited to, the following
AI tools for teachers without deep technical backgrounds
AI tools that can be used by students within the context of project-based learning
Options for first PBL-based AI curriculum
Planning of proposals for AI-based education research
Content and activity engineering for AI-based problem solving
Platforms that support collaborative education and problem-solving
Session abstracts must offer strong and relevant content and actionable takeaways to ensure that the targeted audience(s) benefit. All AI-related topics are welcome. The instructions on the online portal will guide you through the process.
The registration rate is USD$100 (for paper authors) and USD$50 (for general attendees). The registration fee for preseners will be waived.
Kwaku Anning, San Diego Jewish Academy
Jim Bologna, Windward School
Gary Glesener, Virginia Tech
Julienne Greer, University of Texas at Arlington
Simon Huss, Windward School
Laura McBain, Stanford d.School
David Ostrowski, Ford
Phillip Sheu, University of California, Irvine
Vishy Swaminathan, Adobe
* Image by Gerd Altmann from Pixabay